Showing papers on "Wireless mesh network published in 2018"
TL;DR: A four-layer HetIoT architecture consisting of sensing, networking, cloud computing, and applications is proposed, including self-organizing, big data transmission, privacy protection, data integration and processing in large-scale Het IoT.
Abstract: Heterogeneous Internet of Things (HetIoT) is an emerging research field that has strong potential to transform both our understanding of fundamental computer science principles and our future living. HetIoT is being employed in increasing number of areas, such as smart home, smart city, intelligent transportation, environmental monitoring, security systems, and advanced manufacturing. Therefore, relaying on strong application fields, HetIoT will be filled in our life and provide a variety of convenient services for our future. The network architectures of IoT are intrinsically heterogeneous, including wireless sensor network, wireless fidelity network, wireless mesh network, mobile communication network, and vehicular network. In each network unit, smart devices utilize appropriate communication methods to integrate digital information and physical objects, which provide users with new exciting applications and services. However, the complexity of application requirements, the heterogeneity of network architectures and communication technologies impose many challenges in developing robust HetIoT applications. This paper proposes a four-layer HetIoT architecture consisting of sensing, networking, cloud computing, and applications. Then, the state of the art in HetIoT research and applications have been discussed. This paper also suggests several potential solutions to address the challenges facing future HetIoT, including self-organizing, big data transmission, privacy protection, data integration and processing in large-scale HetIoT.
318 citations
TL;DR: This is the first academic study discussing LoRa mesh networking in detail and evaluating its performance via real experiments, and it is shown that in urban areas, LoRa requires dense deployment of LoRa gateways to ensure that indoor LoRa devices can successfully transfer data back to remote GWs.
Abstract: Although many techniques exist to transfer data from the widely distributed sensors that make up the Internet of Things (IoT) (e.g., using 3G/4G networks or cables), these methods are associated with prohibitively high costs, making them impractical for real-life applications. Recently, several emerging wireless technologies have been proposed to provide long-range communication for IoT sensors. Among these, LoRa has been examined for long-range performance. Although LoRa shows good performance for long-range transmission in the countryside, its radio signals can be attenuated over distance, and buildings, trees, and other radio signal sources may interfere with the signals. Our observations show that in urban areas, LoRa requires dense deployment of LoRa gateways (GWs) to ensure that indoor LoRa devices can successfully transfer data back to remote GWs. Wireless mesh networking is a solution for increasing communication range and packet delivery ratio (PDR) without the need to install additional GWs. This paper presents a LoRa mesh networking system for large-area monitoring of IoT applications. We deployed 19 LoRa mesh networking devices over an $800\,\,\text {m} \times 600$ m area on our university campus and installed a GW that collected data at 1-min intervals. The proposed LoRa mesh networking system achieved an average 88.49% PDR, whereas the star-network topology used by LoRa achieved only 58.7% under the same settings. To the best of our knowledge, this is the first academic study discussing LoRa mesh networking in detail and evaluating its performance via real experiments.
312 citations
TL;DR: A novel intrusion detection system with genetic-algorithm-based feature selection and multiple support vector machine classifiers for wireless mesh networks are proposed and demonstrates that the proposed system exhibits a high accuracy of attack detection and is suitable for intrusion detection in wirelessMesh networks.
127 citations
TL;DR: Simulation results indicate that the secure MPC-based protocol can be a viable privacy-preserving data aggregation mechanism since it not only reduces the overhead with respect to FHE but also almost matches the performance of the Paillier cryptosystem when it is used within a proper sized AMI network.
122 citations
TL;DR: Two intelligent hybrid systems are implemented:PSO and HC based system called WMN-PSOHC and PSO and SA based systemcalled WMn-PSOSA, both of which have better performance than WMN -PSO.
Abstract: Wireless Mesh Networks (WMNs) have many advantages such as low cost and increased high speed wireless Internet connectivity, therefore WMNs are becoming an important networking infrastructure. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO. Also, we implemented a simulation system based on Hill Climbing (HC) and Simulated Annealing (SA) for solving node placement problem in WMNs, called WMN-HC and WMN-SA, respectively. In this paper, we implement two intelligent hybrid systems: PSO and HC based system called WMN-PSOHC and PSO and SA based system called WMN-PSOSA. Then we compare WMN-PSO with implemented intelligent hybrid systems by conducting simulations. Simulation results show that intelligent hybrid systems have better performance than WMN-PSO. Comparing intelligent hybrid systems, the WMN-PSOHC converges faster than WMN-PSOSA.
86 citations
TL;DR: The multihop real-time BLE (MRT-BLE) protocol is proposed, a real- time protocol developed on top of BLE that allows for bounded packet delays over mesh networks and also provides priority support.
Abstract: Industrial wireless sensor networks (IWSNs) are used to acquire sensor data that need real-time processing, therefore they require predictable behavior and real-time guarantees. To be cost effective, IWSNs are also expected to be low cost and low power. In this context, Bluetooth low energy (BLE) is a promising technology, as it allows implementing low-cost industrial networks. As BLE is a short-range technology, a multihop mesh network is needed to cover a large area. Nevertheless, the recently published Bluetooth mesh networking specifications do not provide support for real-time communications over multihop mesh networks. To overcome this limitation, this paper proposes the multihop real-time BLE (MRT-BLE) protocol, a real-time protocol developed on top of BLE, that allows for bounded packet delays over mesh networks. MRT-BLE also provides priority support. This paper describes in detail the MRT-BLE protocol and how to implement it on commercial-off-the-shelf devices. Two kinds of performance evaluation for the MRT-BLE protocol are provided. The first one is a worst case end-to-end delay analysis, while the second one is based on the experimental results obtained through measurements on a real testbed.
85 citations
TL;DR: This paper proposes the green survivable virtual network embedding for the collaborative edge computing in smart cities and mathematically formulate the problem and derive the corresponding bound.
Abstract: As an integrated environment deployed with wired and wireless infrastructures, the smart city heavily relies on the wireless-optical broadband access network. The information flows captured by indoor devices are sent to optical network units through front-end wireless mesh sensor networks (WMNs) and, finally, reach the optical line terminal for industrial/commercial decision making via the passive optical network backhaul. To reduce the backhaul bandwidth saturated by this conventional approach, edge devices are deployed at the front-end WMN to preprocess information flows. Based on collaborative edge computing, home users or factory workers customize their computing services as virtual networks embedded onto the common WMN. In this paper, we propose the green survivable virtual network embedding for the collaborative edge computing in smart cities. We mathematically formulate the problem and derive the corresponding bound. Extensive simulations with real traces demonstrate the algorithm effectiveness.
72 citations
TL;DR: This paper presents a cloud-based and hybrid wireless mesh communication framework for bilevel, nested, distributed optimization of networked clusters of microgrids that implements a diffusion-based, fully distributed algorithm on local wireless network and a quasi-distributed approach on wide-area internet-based cloud.
Abstract: This paper presents a cloud-based and hybrid wireless mesh communication framework for bilevel, nested, distributed optimization of networked clusters of microgrids. The proposed optimization framework implements a diffusion-based, fully distributed algorithm on local wireless network and a quasi-distributed approach on wide-area internet-based cloud. The lower level of the bilevel optimization implements a distributed optimal economic dispatch solution for intramicrogrid among distributed energy resources, and the upper level implements a global optimal dispatch for intermicrogrid energy exchange. To demonstrate industrial applicability of the proposed framework, the IEC 61850 interoperability protocol is adopted to achieve a certain delay performance so that the distributed optimization convergence is guaranteed. First, hardware-based prototype intelligent electronic devices are developed using embedded systems. Then, the bilevel nested optimization algorithm is implemented for integration of networked microgrids. Finally, experimental results are demonstrated from a real-time smart grid testbed featuring realistic microgrids. The results demonstrate that the proposed framework meets communication requirements for distributed optimization of networked microgrids.
71 citations
TL;DR: This special issue provides a forum to discuss the recent advances on 5G and beyond mobile technologies and applications for IIoT.
Abstract: Following the tremendous success of 2G and 3G mobile networks and the fast growth of 4G, the next generation mobile networks (5G) was proposed aiming to provide infinite networking capability to mobile users. Differentiated from 4G, a benefit offered by 5G is much more than the increased maximum throughput. It aims to involve and benefit from many current technical advances including Industrial Internet of Things (IIoT). As the IIoT integrates many heterogeneous networks, such as Wireless Sensor Networks (WSNs), Wireless Local Area Networks (WLANs), Mobile Communication Networks (3G/4G/LTE/5G), Wireless Mesh Networks (WMNs) and wearable health care systems, it is critical to design self-organizing and smart protocols for heterogeneous ad hoc networks in various IoT applications, such as cyber-physical systems, cloud computing for heterogeneous ad hoc networks, large-scale sensor networks, data acquisition from distributed smart devices, green communication and applications, environmental monitoring and control, etc. Moreover, based on the survey conducted by the World Health Organization, the world will lack 12.9 million healthcare workers by 2035. Hence, it is important to develop wearable healthcare systems to perform self-health monitoring. In general, wearable healthcare systems demands low power consumption and high measurement accuracy. Smart technologies including green electronics, green radios, fuzzy neural approaches and intelligent signal processing techniques play important roles in the developments of the wearable healthcare systems. Therefore, this special issue provides a forum to discuss the recent advances on 5G and beyond mobile technologies and applications for IIoT.
64 citations
TL;DR: This study proposes a clustering based routing algorithm considering an interference and load balancing routing metric that focuses on minimizing the existing issues of networks and performs superior to the existing routing metrics present in the current literature for similar purposes.
59 citations
15 Mar 2018
TL;DR: A hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA, for solving node placement problem in WMNs is implemented and results show that the WMn-PS ODGA has good performance when the number of GA islands is 64.
Abstract: Wireless Mesh Networks (WMNs) have many advantages such as low cost and increased high speed wireless Internet connectivity, therefore WMNs are becoming an important networking infrastructure. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. In this paper, we implement a hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA. We evaluate WMN-PSODGA by computer simulations. The simulation results show that the WMN-PSODGA has good performance when the number of GA islands is 64.
TL;DR: This work proposes a linear sensor network deployment application for oil and gas pipeline using a custom sensor board accompanied with algorithms to solve network creation, leak interrupt detection, and routing of high-priority messages with reliability while keeping network alive at all times.
Abstract: Wireless sensor networks have extensively been utilized over the years for ambient data collection from diverse structural deployments including mesh, ad hoc , and hierarchical layouts. Several other applications of sensor networks may involve placing the nodes in a linear topology, constituting a special class of networks called linear sensor networks. In a densely deployed linear network case, issues related to optimal resource allocation and networking may persist because the standard sensor network protocols attempt to manage the network as a mesh or ad hoc infrastructure. Issues like recovering from holes where a node cannot reach another node in either side or policies to establish a route for data dissemination need to be intelligently solved for linear sensor networks. To solve such issues, we propose a linear sensor network deployment application for oil and gas pipeline using a custom sensor board accompanied with algorithms to solve network creation, leak interrupt detection, and routing of high-priority messages with reliability while keeping network alive at all times. The proposed system provides all the features of leakage detection, localization, parameter sensing, and actuation, while operating at low energy, high data reliability, and low latencies, while comparative results prove the efficacy of the system.
TL;DR: A survey on the most promising techniques offered thus far to defend the three classes of ad hoc networks, i.e., Mobile Ad hoc Networks, Wireless Sensor Networks, and Wireless Mesh Networks, from the Sybil attack is presented.
04 Jul 2018
TL;DR: A hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA, is implemented for solving node placement problem in WMNs and results show that the WMn-PS ODGA has good performance when the client distribution is Normal compared with the case of Exponential distribution.
Abstract: The Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because they have many advantages such as low cost and increased high speed wireless Internet connectivity. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system, called WMN-PSO, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. In this paper, we implement a hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA. We analyze the performance of WMN-PSODGA by computer simulations considering different client distributions. Simulation results show that the WMN-PSODGA has good performance when the client distribution is Normal compared with the case of Exponential distribution.
TL;DR: The motivation behind the integration of network coding and opportunistic routing is explained, and certain scenarios in which the joint approach may even degrade the performance are highlighted, emphasizing the fact that their synergistic effect cannot be accomplished with a naive and perfunctory combination.
Abstract: Network coding and opportunistic routing are two recognized innovative ideas to improve the performance of wireless networks by utilizing the broadcast nature of the wireless medium. In the last decade, there has been considerable research on how to synergize inter-flow network coding and opportunistic routing in a single joint protocol outperforming each in any scenario. This paper explains the motivation behind the integration of these two techniques, and highlights certain scenarios in which the joint approach may even degrade the performance, emphasizing the fact that their synergistic effect cannot be accomplished with a naive and perfunctory combination. This survey paper also provides a comprehensive taxonomy of the joint protocols in terms of their fundamental components and associated challenges, and compares existing joint protocols. We also present concluding remarks along with an outline of future research directions.
TL;DR: This paper compares the performance of transmission control protocol (TCP) Tahoe, Reno and NewReno for normal and uniform distributions of mesh clients by sending multiple constant bit rate (CBR) flows in the network and finds that the throughput of normal distribution is better than uniform distribution.
Abstract: In this paper, we evaluate the performance of two wireless mesh networks (WMNs) architectures considering packet delivery ratio (PDR), throughput, delay and fairness index metrics. For simulations, we used ns-3, distributed coordination function (DCF) and optimised link state routing (OLSR). We compare the performance of transmission control protocol (TCP) Tahoe, Reno and NewReno for normal and uniform distributions of mesh clients by sending multiple constant bit rate (CBR) flows in the network. The simulation results show that the PDR for both distributions and architectures is almost the same, but the PDR of I/B WMN for uniform distribution is a little bit higher than normal distribution. For both WMN architectures, the throughput of normal distribution is better than uniform distribution. The delay of Tahoe is a little bit lower compared with other algorithms for normal distribution and Hybrid WMN, but in case of uniform distribution, the NewReno performs better than other algorithms for both architectures. The fairness index of normal distribution is higher than uniform distribution.
TL;DR: A network traffic prediction method based on a deep learning architecture and the Spatiotemporal Compressive Sensing method that outperforms three existing methods for predicting network traffic.
Abstract: Wireless mesh network is prevalent for providing a decentralized access for users and other intelligent devices. Meanwhile, it can be employed as the infrastructure of the last few miles connectivity for various network applications, for example, Internet of Things (IoT) and mobile networks. For a wireless mesh backbone network, it has obtained extensive attention because of its large capacity and low cost. Network traffic prediction is important for network planning and routing configurations that are implemented to improve the quality of service for users. This paper proposes a network traffic prediction method based on a deep learning architecture and the Spatiotemporal Compressive Sensing method. The proposed method first adopts discrete wavelet transform to extract the low-pass component of network traffic that describes the long-range dependence of itself. Then, a prediction model is built by learning a deep architecture based on the deep belief network from the extracted low-pass component. Otherwise, for the remaining high-pass component that expresses the gusty and irregular fluctuations of network traffic, the Spatiotemporal Compressive Sensing method is adopted to predict it. Based on the predictors of two components, we can obtain a predictor of network traffic. From the simulation, the proposed prediction method outperforms three existing methods.
TL;DR: To reduce the response time of SDN controller for dynamic network topology, a two-layer supervised learning model is proposed that helps the controller to predict the node mobility and link failure probability and an alternative route selection scheme is proposed, which achieves optimal traffic balancing while minimizing the control plane overhead.
Abstract: In the software defined networking (SDN)-based wireless mesh network (WMN) architecture (SD-WMN), the network is monitored and managed in a centralized manner. Although the use of SDN simplifies the WMN management, it is still not clear whether the SDN architecture, which was originally designed for wired links, can effectively handle the dynamic topology of WMNs. This paper addresses the traffic balancing issue introduced by node mobility. To reduce the response time of SDN controller for dynamic network topology, a two-layer supervised learning model is proposed that helps the controller to predict the node mobility and link failure probability. Then, an alternative route selection scheme is proposed, which achieves optimal traffic balancing while minimizing the control plane overhead. Efficiency of the proposed SD-WMN architecture is validated in the widely used network simulator—ns-3. Our results demonstrate the network throughput enhancement achieved by the proposed SD-WMN architecture with link-failure adaptive traffic control.
TL;DR: A new RPL-based routing protocol, termed as directional mutation ant colony optimization-based cognitive RPL (DMACO-RPL), for CR-enabled AMI networks, which utilizes a global optimization algorithm to select the best route from the whole network.
Abstract: Advanced metering infrastructure (AMI) networks, which are an integral component of the smart grid ecosystem, are practically deployed as a static multihop wireless mesh network. Recently, routing solutions for AMI networks have attracted a lot of attention in the literature. On the other hand, it is expected that the use of cognitive radio (CR) technology for AMI networks will be indispensable in near future. This paper investigates a global optimization-based routing protocol for enhancing quality of service in CR-enabled AMI networks. In accordance with practical requirements of smart grid applications, we propose a new RPL-based routing protocol, termed as directional mutation ant colony optimization-based cognitive RPL (DMACO-RPL), for CR-enabled AMI networks. This protocol utilizes a global optimization algorithm to select the best route from the whole network. In addition, DMACO-RPL explicitly protects primary (licensed) users while meeting the utility requirements of the secondary network. System-level simulations demonstrate that the proposed protocol enhances the performance of existing RPL-based routing protocols for CR-enabled AMI networks.
04 Nov 2018
TL;DR: This paper presents Mixer, a many-to-all broadcast primitive for dynamic wireless mesh networks that integrates random linear network coding (RLNC) with synchronous transmissions and approaches the order-optimal scaling in the number of messages to be exchanged.
Abstract: Many-to-all communication is a prerequisite for many applications and network services, including distributed control and data replication. However, current solutions do not meet the scalability and latency requirements of emerging applications. This paper presents Mixer, a many-to-all broadcast primitive for dynamic wireless mesh networks. Mixer integrates random linear network coding (RLNC) with synchronous transmissions and approaches the order-optimal scaling in the number of messages to be exchanged. To achieve an efficient operation in real networks, we design Mixer in response to the theory of RLNC and the characteristics of physical-layer capture. Our experiments demonstrate, for example, that Mixer outperforms the state of the art by up to 3.8x and provides a reliability greater than 99.99 % even at a node moving speed of 60 km/h.
15 Jun 2018
TL;DR: In this paper, the authors evaluate Hyperledger Fabric in a real production mesh network and in the laboratory and identify the opportunities for improvement to serve the needs of wireless mesh access networks.
Abstract: Recently, mesh networking and blockchain are two of the hottest technologies in the telecommunications industry. Combining both can reformulate Internet access. While mesh networking makes connecting to the Internet easy and affordable, blockchain on top of mesh networks makes Internet access profitable by enabling bandwidth-sharing for crypto-tokens. Hyperledger Fabric (HLF) is a blockchain framework implementation and one of the Hyperledger projects hosted by The Linux Foundation. We evaluate HLF in a real production mesh network and in the laboratory. We quantify the performance, bottlenecks and limitations of the current implementation v1.0. We identify the opportunities for improvement to serve the needs of wireless mesh access networks. To the best of our knowledge, this is the first HLF deployment made in a production wireless mesh network.
TL;DR: The evaluation of the proposed hybrid online algorithm for link quality prediction using data from a real large scale CWMN shows that it can achieve a high accuracy while generating a low computational load.
15 Mar 2018
TL;DR: A hybrid simulation system based on PSO and SA for solving node placement problem in WMNs, called WMN-PSOSA is implemented and results show that LDIWM have better performance than CM, RIWM and LDVM replacement methods.
Abstract: Wireless Mesh Networks (WMNs) have many advantages such as low cost and increased high speed wireless Internet connectivity, therefore WMNs are becoming an important networking infrastructure. In our previous work, we implemented a Particle Swarm Optimization (PSO) based simulation system for node placement in WMNs, called WMN-PSO. Also, we implemented a simulation system based on Simulated Annealing (SA) for solving node placement problem in WMNs, called WMN-SA. In this paper, we implement a hybrid simulation system based on PSO and SA, called WMN-PSOSA. We evaluate the performance of WMN-PSOSA by conducting computer simulations considering four different replacement methods. The simulation results show that LDIWM have better performance than CM, RIWM and LDVM replacement methods.
TL;DR: A drone that can provide wireless infrastructure using high speed Wi-Fi and transmit the situation of local area through attached camera is designed and the transmitted videos can be monitored in the control center or cell phone through application in real time.
Abstract: In recent years, researches of disseminating wireless network have been conducted for areas without network infrastructure such as disaster situation or military disputes. However, conventional method was to provide a communication infrastructure by floating large aircraft as UAV or hot-air balloon in the high air. Therefore, it was difficult to utilize previous method because it requires a lot of time and cost. But it is possible to save money and time by using a drone which is already used in many areas as a small UAV. In this paper, we design a drone that can provide wireless infrastructure using high speed Wi-Fi. After reaching the target area, the drone can provide Wi-Fi using wireless mesh network and transmit the situation of local area through attached camera. And the transmitted videos can be monitored in the control center or cell phone through application in real time. The proposed scheme provides wireless communication of up to 160 Mbps in a coverage of about 200 m and video transmission with a coverage of about 120 m, respectively.
01 Jan 2018
TL;DR: This demonstration exhibits how to build a reliable low latency network out of a chaotic and dynamic wireless mesh network by combining the principles of opportunistic routing and network coding to achieve this.
Abstract: The massive increase in the number of connected devices with the advent of the Internet of Things era calls for self-organizing and dynamic networks. The state-of-the-art wireless mesh networking protocols that provide self-organizing networks like BATMAN and OLSR do not address the demands of 5G networks such as low latency and high reliability. In this demonstration, we exhibit how we build a reliable low latency network out of a chaotic and dynamic wireless mesh network. We combine the principles of opportunistic routing and network coding to achieve this. We let the audience to interact with the nodes of the wireless mesh networks, i.e. causing node failures, link changes, etc. We demonstrate how our mesh network retains all of its flows intact without any service interruption despite these interactions and node failures.
TL;DR: The aim of this paper is to minimize the total data loss during rain disturbance by proposing an algorithm that decides on the timing, the sequence, and the paths for rerouting of network flows considering the imposed congestion during reconfiguration, using the temporal correlation of rain fading to estimate future rain attenuation.
Abstract: Wireless network solutions, a dominant enabling technology for the backhaul segment, are susceptible to weather disturbances that can substantially degrade network throughput and/or delay, compromising the stringent 5G requirements. These effects can be alleviated by centralized rerouting realized by software defined networking architecture. However, careless frequent reconfigurations can lead to inconsistencies in the network states due to asynchrony between different switches, which can create congestion and limit the rerouting gain. The aim of this paper is to minimize the total data loss during rain disturbance by proposing an algorithm that decides on the timing, the sequence, and the paths for rerouting of network flows considering the imposed congestion during reconfiguration. At each time sample, the central controller decides whether to adopt the optimal routes at a switching cost, defined as the imposed congestion, or to keep using existing, sub-optimal routes at a throughput loss. To find optimal solutions with minimal data loss in a static scenario, we formulate a dynamic programming problem that utilizes perfect knowledge of rain attenuation for the whole rain period. For dynamic scenarios with unknown future rain attenuation, we propose an online consistency-aware rerouting algorithm, called consistency-aware rerouting with prediction (CARP), which uses the temporal correlation of rain fading to estimate future rain attenuation. Simulation results on synthetic and real networks validate the efficiency of our CARP algorithm, substantially reducing data loss and increasing network throughput with a fewer number of rerouting actions compared to a greedy and a regular rerouting benchmarking approaches.
TL;DR: The proposed routing protocol adopts the energy efficiency over virtual distance as the core of routing mechanism such that the energy-efficient route can be achieved and provides protection for primary users whilst meeting the utility requirements of secondary users.
Abstract: With the capacity of achieving spectrum efficient wireless communications, cognitive radio enabled advanced metering infrastructure (CR-AMI) networks are expected to enhance the efficiency and practicability of future smart grids. CR-AMI networks which have been recognized as a fundamental component of the smart grid ecosystem, are practically utilized as a static multi-hop wireless mesh network. This paper focuses on the development of a novel routing protocol for low power and lossy networks based routing protocol for enhancing the energy efficiency in CR-AMI networks. For meeting the requirements of green communications in smart grids, the proposed routing protocol adopts the energy efficiency over virtual distance as the core of routing mechanism such that the energy-efficient route can be achieved. Furthermore, the protocol provides protection for primary users whilst meeting the utility requirements of secondary users. System-level evaluation indicates that the proposed protocol performs better than existing routing protocols for CR-AMI networks.
22 Mar 2018
TL;DR: This paper presents an experimental evaluation of ZigBee and DigiMesh networks; a two well-known and widely used Wireless Mesh Networks architectures; the performance metrics used were the throughput, Round Trip Time, Received Signal Strength Indication, and Mesh Routing Recovery Time.
Abstract: This paper presents an experimental evaluation of ZigBee and DigiMesh networks; a two well-known and widely used Wireless Mesh Networks architectures. The performance metrics used were the throughput, Round Trip Time, Received Signal Strength Indication, and Mesh Routing Recovery Time. The conducted experiments show that DigiMesh have better throughput than ZigBeee networks. However, the later outperforms DigiMesh based networks by having lower Round Trip Time, higher Received Signal Strength Indication, and it needs less time to recover from a failure node. These features make ZigBee a better choice for applications that require less delay and need longer communication range, while DigiMesh based networks are better used for networks with high throughput requirements.
TL;DR: Simulation results demonstrate that the proposed channel assignment scheme is more efficient compared to the existing ones, in terms of QoS parameters like, packet drop rate, packet delivery ratio, transmission delay and throughput.
Abstract: An intricate network deployment for high demand users leads to simultaneous transmission in wireless mesh networks. Multiple radios are adapted to individual nodes for improving network performance and Quality of Service (QoS). However, whenever multiple radios are assigned to the same channel, co-located radio interference occurs, which poses a major drawback. This paper proposes a Radio aware Channel Assignment (Ra-CA) mechanism based on a direct graphical model for mitigation of interference in multi-radio multi-channel networks. Initially, the co-located radio interference is identified by classifying non-interfering links for simultaneous transmission in the network. Proposed channel assignment mechanism helps in allocating the minimal number of channels to the network that mitigate co-located radio interference. Performance analysis of the proposed Ra-CA strategy is carried out compared with other existing techniques, like Breadth First Search-Channel Assignment (BFS-CA) and Maximal Independent Set Channel Assignment (MaIS-CA), in multi-radio networks. Simulation results demonstrate that the proposed channel assignment scheme is more efficient compared to the existing ones, in terms of QoS parameters like, packet drop rate, packet delivery ratio, transmission delay and throughput.