Showing papers on "Wireless mesh network published in 2019"

Wireless Mesh Networking: An IoT-Oriented Perspective Survey on Relevant Technologies

Abstract: The Internet of Things (IoT), being a “network of networks”, promises to allow billions of humans and machines to interact with each other. Owing to this rapid growth, the deployment of IoT-oriented networks based on mesh topologies is very attractive, thanks to their scalability and reliability (in the presence of failures). In this paper, we provide a comprehensive survey of the following relevant wireless technologies: IEEE 802.11, Bluetooth, IEEE 802.15.4-oriented, and Sub-GHz-based LoRa. Our goal is to highlight how various communication technologies may be suitable for mesh networking, either providing a native support or being adapted subsequently. Hence, we discuss how these wireless technologies, being either standard or proprietary, can adapt to IoT scenarios (e.g., smart cities and smart agriculture) in which the heterogeneity of the involved devices is a key feature. Finally, we provide reference use cases involving all the analyzed mesh-oriented technologies.

Implementation of a Battery-Free Wireless Sensor for Cyber-Physical Systems Dedicated to Structural Health Monitoring Applications

Abstract: This paper addresses the concept of a wirelessly powered and battery-free wireless sensor for the cyber–physical systems dedicated to the structural health monitoring applications in harsh environments. The proposed material architecture is based on a smart mesh wireless sensor network composed of sensing nodes and communicating nodes. The sensing nodes are used to sense the physical world. They are battery-free and wirelessly powered by a dedicated radiofrequency source via a far-field wireless power transmission system. The data collected by the sensing nodes are sent to the communicating nodes that, between others, interface the physical world with the digital world through the Internet. A prototype of the sensing node—using a LoRaWAN uplink wireless communication and temperature and relative humidity sensor—has been manufactured, and the experiments have been performed to characterize it. The experimental results prove that the periodicity of measurement and communication can be controlled wirelessly by using only the wireless power transmission downlink. In this paper, we highlight the performance of this complete implementation of a wirelessly powered and battery-free wireless sensing node—not yet integrated or miniaturized—designed for implementing complete cyber–physical systems and based on the simultaneous wireless information and power transfer. Finally, an investigation of comparable implementations of the battery-free sensing nodes for the cyber–physical systems is carried out.

Cooperative channel allocation and scheduling in multi-interface wireless mesh networks

Abstract: Cooperative channel allocation and scheduling are key issues in wireless mesh networks with multiple interfaces and multiple channels. In this paper, we propose a load balance link layer protocol (LBLP) aiming to cooperatively manage the interfaces and channels to improve network throughput. In LBLP, an interface can work in a sending or receiving mode. For the receiving interfaces, the channel assignment is proposed considering the number, position and status of the interfaces, and a task allocation algorithm based on the Huffman tree is developed to minimize the mutual interference. A dynamic link scheduling algorithm is designed for the sending interfaces, making the tradeoff between the end-to-end delay and the interface utilization. A portion of the interfaces can adjust their modes for load balancing according to the link status and the interface load. Simulation results show that the proposed LBLP can work with the existing routing protocols to improve the network throughput substantially and balance the load even when the switching delay is large.

Implementation of an intelligent hybrid simulation systems for WMNs based on particle swarm optimization and simulated annealing: performance evaluation for different 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) 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 the rational decrement of Vmax method and linearly decreasing inertia weight method have better performance compared with constriction method and random inertia weight method.

Wireless acoustic sensor networks and edge computing for rapid acoustic monitoring

Abstract: Passive acoustic monitoring is emerging as a promising solution to the urgent, global need for new biodiversity assessment methods. The ecological relevance of the soundscape is increasingly recognised, and the affordability of robust hardware for remote audio recording is stimulating international interest in the potential for acoustic methods for biodiversity monitoring. The scale of the data involved requires automated methods, however, the development of acoustic sensor networks capable of sampling the soundscape across time and space and relaying the data to an accessible storage location remains a significant technical challenge, with power management at its core. Recording and transmitting large quantities of audio data is power intensive, hampering long-term deployment in remote, off-grid locations of key ecological interest. Rather than transmitting heavy audio data, in this paper, we propose a low-cost and energy efficient wireless acoustic sensor network integrated with edge computing structure for remote acoustic monitoring and in situ analysis. Recording and computation of acoustic indices are carried out directly on edge devices built from low noise primo condenser microphones and Teensy microcontrollers, using internal FFT hardware support. Resultant indices are transmitted over a ZigBee-based wireless mesh network to a destination server. Benchmark tests of audio quality, indices computation and power consumption demonstrate acoustic equivalence and significant power savings over current solutions.

HIRO-NET: Self-Organized Robotic Mesh Networking for Internet Sharing in Disaster Scenarios

Abstract: In this paper we present HIRO-NET, Heterogeneous Intelligent Robotic Network. HIRO-NET is an emergency infrastructure-less network tailored to address the problem of providing connectivity in the immediate aftermath of a natural disaster, where no cellular or wide area network is operational and no Internet access is available. HIRO-NET establishes a two-tier wireless mesh network where the Lower Tier connects nearby survivors in a self-organized mesh via Bluetooth Low Energy (BLE)and the Upper Tier creates long-range VHF links between autonomous robots exploring the disaster stricken area. HIRO-NET main goal is to enable users in the disaster to exchange text messages in order to share critical information and request help from first responders. The mesh network discovery problem is analyzed and a network protocol specifically designed to facilitate the exploration process is presented. We show how HIRO-NET robots successfully discover, bridge and interconnect local mesh networks. Results show that the Lower Tier always reaches network convergence and the Upper Tier can virtually extend HIRO-NET functionalities to the range of a small metropolitan area. In the event of an Internet connection still being available to some user, HIRO-NET is able to opportunistically share and provide access to low data-rate services (e.g. Twitter, Gmail)to the whole network. Results suggest that a temporary emergency network to cover a metropolitan area can be created in tens of minutes.

LoRaBee: Cross-Technology Communication from LoRa to ZigBee via Payload Encoding

Abstract: Low-power wireless mesh networks (LPWMNs) have been widely used in wireless monitoring and control applications. Although LPWMNs work satisfactorily most of the time thanks to decades of research, they are often complex, inelastic to change, and difficult to manage once the networks are deployed. Moreover, the deliveries of control commands, especially those carrying urgent information such as emergency alarms, suffer long delay, since the messages must go through the hop-by-hop transport. Recent studies show that adding low-power wide-area network (LPWAN) radios such as LoRa onto the LPWMN devices (e.g., ZigBee) effectively overcomes the limitation. However, users have shown a marked reluctance to embrace the new heterogeneous communication approach because of the cost of hardware modification. In this paper, we introduce LoRaBee, a novel LoRa to ZigBee cross-technology communication (CTC) approach, which leverages the energy emission in the Sub-1 GHz bands as the carrier to deliver information. Although LoRa and ZigBee adopt distinct modulation techniques, LoRaBee sends information from LoRa to ZigBee by putting specific bytes in the payload of legitimate LoRa packets. The bytes are selected such that the corresponding LoRa chirps can be recognized by the ZigBee devices through sampling the received signal strength (RSS). Experimental results show that our LoRaBee provides reliable CTC communication from LoRa to ZigBee with the throughput of up to 281.61bps in the Sub-1 GHz bands.

Implementation of a Web interface for hybrid intelligent systems

Abstract: The purpose of this paper is to implement a Web interface for hybrid intelligent systems. Using the implemented Web interface, this paper evaluates two hybrid intelligent systems based on particle swarm optimization, hill climbing and distributed genetic algorithm to solve the node placement problem in wireless mesh networks (WMNs).,The node placement problem in WMNs is well-known to be a computationally hard problem. Therefore, the authors use intelligent algorithms to solve this problem. The implemented systems are intelligent systems based on meta-heuristics algorithms: Particle Swarm Optimization (PSO), Hill Climbing (HC) and Distributed Genetic Algorithm (DGA). The authors implement two hybrid intelligent systems: WMN-PSODGA and WMN-PSOHC-DGA.,The authors carried out simulations using the implemented Web interface. From the simulations results, it was found that the WMN-PSOHC-DGA system has a better performance compared with the WMN-PSODGA system.,For simulations, the authors considered Normal distribution of mesh clients. In the future, the authors need to consider different client distributions, patterns, number of mesh nodes and communication distance.,In this research work, the authors implemented a Web interface for hybrid intelligent systems. The implemented interface can be extended for other metaheuristic algorithms.

A LoRa Wireless Mesh Network for Wide-Area Animal Tracking

Abstract: The continuous evolution in technology and innovation empowers mankind to strive for more and move ahead towards living an easier and more convenient life with better safety measures and assisting systems. However, parallel to the aforementioned patterns are some contrastingly petrifying and frightening patterns. Mankind’s greed for resources and inefficiency in using the same has led to the destruction of various lifeforms and their natural habitats. Animal tracking is key to conservation and protection of the beings itself as well as their habitats. It is mankind’s responsibility to right what he has wronged. LoRa, a wireless technology, is of communicating over long distances while sipping efficiently on power. However, the vastness of the savannas and the deserts and the densities of the forests are out of bounds for existing conventional wireless communication technologies. Tracking via satellite would turn out to be expensive and infeasible in many scenarios. Tracking over the cellular network in such expansive remote regions would be quixotic and impractical. This work proposes a novel design of a mesh network formed by LoRa based animal collars or tags, for tracking location and monitoring other factors via sensors over very wide areas. Furthermore, the work proposes different models to choose from, based on the expanse of the area desired to be covered and it’s geographical conditions.

Performance Analysis of WMNs by WMN-PSOHC-DGA Simulation System Considering Linearly Decreasing Inertia Weight and Linearly Decreasing Vmax Replacement Methods

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) and Hill Climbing (HC) based hybrid simulation system, called WMN-PSOHC, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. Then, we implemented a hybrid simulation system based on PSOHC and distributed GA (DGA), called WMN-PSOHC-DGA. In this paper, we analyze the performance of WMNs using WMN-PSOHC-DGA simulation system considering Linearly Decreasing Inertia Weight Method (LDIWM) and Linearly Decreasing Vmax Method (LDVM). Simulation results show that a good performance is achieved for LDIWM compared with the case of LDVM.

Efficient certificate revocation management schemes for IoT-based advanced metering infrastructures in smart cities

Abstract: Advanced Metering Infrastructure (AMI), which refers to the communication network for the collection of power data from smart meters in a Smart Grid, is expected to be used in the service of many Smart City applications such as gas and water data collection or electric vehicle charging. As the communication within the AMI needs to be secure to protect user’s power data, key management becomes a challenge due to its overhead and limited resources on smart meters. While using public-keys eliminate some of the overhead of key management as opposed to symmetric-key management, there are still challenges regarding the management of certificates that store and certify the public-keys. In particular, distribution and storage of certificate revocation list (CRL) is major a challenge due to cost of distribution and storage in AMI networks which is envisioned to utilize wireless mesh networks. Motivated by the need of keeping the CRL distribution and storage cost effective and scalable, in this paper, we present a distributed CRL management scheme by utilizing distributed hash trees (DHTs) that have been heavily employed in peer-to-peer (P2P) networks. The basic idea is to share the burden of storage of CRLs among all the smart meters by exploiting the convenient wireless communication capability of the smart meters among each other. Using DHTs not only reduces the space requirements for CRLs but also makes the CRL updates more convenient. We implemented DHT-based CRL structure both on ns-3 and testbed using IEEE 802.11s mesh standard as a model for AMI and demonstrated its superior performance with respect to traditional methods of CRL management through extensive simulations.

Performance Analysis of WMNs by WMN-PSOHC-DGA Simulation System Considering Random Inertia Weight and Linearly Decreasing Vmax Router Replacement Methods

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) and Hill Climbing (HC) based hybrid simulation system, called WMN-PSOHC, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. Then, we implemented a hybrid simulation system based on PSOHC and distributed GA (DGA), called WMN-PSOHC-DGA. In this paper, we analyze the performance of WMNs using WMN-PSOHC-DGA simulation system considering Random Inertia Weight Method (RIWM) and Linearly Decreasing Vmax Method (LDVM). Simulation results show that a good performance is achived for RIWM compared with the case of LDVM.

Performance Analysis of WMNs by WMN-PSODGA Simulation System Considering Load Balancing and Client Uniform Distribution

Abstract: Wireless Mesh Networks (WMNs) are becoming an important networking infrastructure because it has 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. Then, we implemented a hybrid simulation system based on PSO and distributed GA (DGA), called WMN-PSODGA. In this paper, we consider the load balancing problem. Different from our previous work, we add in the fitness function a new parameter called NCMCpR (Number of Covered Mesh Clients per Router). The simulation results show that better optimization is achieved by considering load balancing.

An Electromagnetism-like mechanism algorithm for the router node placement in wireless mesh networks

Abstract: In this paper, we consider the problem of mesh router placement in a wireless mesh network (WMN). The latter is an emerging networking technology consisting of three kinds of nodes: mesh clients, mesh routers and gateways. Mesh routers form a backbone to forward data between client nodes and the external network. Therefore, the optimization of mesh routers positions strongly influences the performance of the WMN. Since this issue has already been proved as being computationally NP-hard to solve, the use of non-exact methods (such as heuristics and metaheuristics) is indispensable. In this sense, our current work consists to apply and adapt the electromagnetism-like mechanism (EM) metaheuristic to solve the router node placement issue. The idea is to consider a population of solutions encoded as particles subject to attractions and repulsions as in electromagnetic systems. Finally, we have evaluated our proposed approach by simulating different scenarios under various settings. The obtained results indicate that the proposed EM algorithm outperforms the existing particle swarm intelligence algorithm and genetic algorithm in defining near optimal positions for mesh routers with regard to coverage and connectivity.

A Link-Based Variable Probability Learning Approach for Partially Overlapping Channels Assignment on Multi-Radio Multi-Channel Wireless Mesh Information-Centric IoT Networks

Abstract: The performance of the wireless mesh information-centric Internet of Thing (IC-IoT) networks can be greatly enhanced by adopting multi-radio multi-channel (MRMC) and partially overlapping channels (POCs). However, the network interference and channel assignment in IC-IoT networks become more complicated while using both MRMC and POCs. In this paper, a logical link-based partially overlapping channels interference model is analyzed to mitigate the inter-channel interference, and a channel selection scheme is formulated as a potential game. Moreover, a variable probability learning algorithm is proposed by selecting a channel in the strategy space based on its probability. The channel usage probability can be changed by its link utility. The channel with a larger link utility is then with a bigger probability in the strategy space. The simulation results show that our proposed algorithm can achieve high system throughput with fast network convergence.

QoS multicast routing for wireless mesh network based on a modified binary bat algorithm

Abstract: The quality of service multicast routing problem is a very important research issue for transmission in wireless mesh networks. It is known to be NP-complete problem, so many heuristic algorithms have been employed for solving the multicast routing problem. This paper proposes a modified binary bat algorithm applied to solve the QoS multicast routing problem for wireless mesh network which satisfies the requirements of multiple QoS constraints such as delay, delay jitter, bandwidth and packet loss rate to get low-cost multicasting tree. The binary bat algorithm has been modified by introducing the inertia weight w in the velocity update equation, and then the chaotic map, uniform distribution and gaussian distribution are used for choosing the right value of w. The aim of these modifications is to improve the effectiveness and robustness of the binary bat algorithm. The simulation results reveal the successfulness, effectiveness and efficiency of the proposed algorithms compared with other algorithms such as genetic algorithm, particle swarm optimization, quantum-behaved particle swarm optimization algorithm, bacteria foraging-particle swarm optimization, bi-velocity discrete particle swarm optimization and binary bat algorithm.

Performance Evaluation of WMNs by WMN-PSOHC System Considering Random Inertia Weight and Linearly Decreasing Vmax 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 Hill Climbing (HC) for solving node placement problem in WMNs, called WMN-HC. Then, we implemented a hybrid simulation system based on PSO and HC, called WMN-PSOHC. In this paper, we analyse the performance of WMNs by using WMN-PSOHC considering Random Inertia Weight Method (RIWM) and Linearly Decreasing Vmax Method (LDVM). Simulation results show that a good performance is achieved for RIWM compared with LDVM.

WMN-PSOSA: an intelligent hybrid simulation system for WMNs and its performance evaluations

Abstract: Networks of today are going through a rapid evolution. Recently, many new networks, especially wireless networks, are appearing. The wireless mesh networks (WMNs) are wireless networks having mesh topology. They have many advantages, such as high robustness and easiness for maintenance. However, WMNs have some problems that need to be solved. One important problem for WMNs is the node placement problem, which is an NP-hard problem. In this work, we propose and implement an intelligent hybrid simulation system based on particle swarm optimisation (PSO) and simulated annealing (SA) for node placement problem in WMNs, called WMN-PSOSA. We evaluate the performance of WMN-PSOSA system considering different distributions of mesh clients such as Weibull, chi-square, and uniform distributions. The simulation results show that the WMN-PSOSA performs better for Weibull distribution compared with the case of chi-square and uniform distributions.

A Comparison Study of Constriction and Linearly Decreasing Vmax Replacement Methods for Wireless Mesh Networks by WMN-PSOHC-DGA Simulation System

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) and Hill Climbing (HC) based hybrid simulation system, called WMN-PSOHC, and a simulation system based on Genetic Algorithm (GA), called WMN-GA, for solving node placement problem in WMNs. Then, we implemented a hybrid simulation system based on PSOHC and distributed GA (DGA), called WMN-PSOHC-DGA. In this paper, we analyze the performance of WMNs using WMN-PSOHC-DGA simulation system considering Constriction Method (CM) and Linearly Decreasing Vmax Method (LDVM). Simulation results show that a good performance is achieved for CM compared with the case of LDVM.

An Overview of Wireless Mesh Networks

Abstract: Wireless mesh networks (WMNs) are communication networks which comprise radio nodes in which nodes are arranged in a mesh topology. Mesh topology is an interconnection of all nodes connected with all other nodes in the network. The network includes devices like nodes, clients, routers, gateways, etc. As the nodes are fully connected, mesh networks are usually less mobile as rerouting is less difficult in predicting the reroute results in delay in data transmission. Mesh clients can be of any wireless devices like cell phones, laptops, etc. The gateways which act as forwarding nodes may not be connected with the Internet. As different devices come under a single network, it is also referred as mesh cloud. WMN is self-healable. It works better with various different networks which include cellular networks and IEEE 802.11, 802.15, and 802.16 as well. WMN is flexible to work with more than one protocol. This chapter gives architecture, layer functionalities, and applications.

High Reliability, Low Latency and Cost Effective Network Planning for Industrial Wireless Mesh Networks

Abstract: In this paper, we study high reliability, low latency and cost effective network planning for industrial wireless mesh networks. Based on the requirements of routing reliability, minimum end-to-end delay and reduced deployment cost in wireless mesh networks, such as WirelessHART network, we propose three network planning approaches following the principles of the shortest hops, the least routers and balance of the shortest hops and the least routers, respectively. We then implement the proposed algorithms respectively to generate the network deployment for a given factory layout. Simulation results show that there exists a performance trade-off between these three algorithms. The proposed algorithms have also been implemented and validated in an NS-2 WirelessHART network simulator.

An Overview of Machine Learning Approaches in Wireless Mesh Networks

Abstract: Wireless mesh networks (WMNs) have been extensively studied for nearly two decades as one of the most promising candidates expected to power the high-bandwidth, high-coverage wireless networks of the future. However, consumer demand for such networks has only recently caught up, rendering efforts at optimizing WMNs to support high capacities and offer high QoS, while being secure and fault-tolerant, more important than ever. To this end, a recent trend has been the application of machine learning (ML) to solve various design and management tasks related to WMNs. In this work, key ML techniques are discussed and past efforts applying them in WMNs are analyzed, while noting some existing issues and suggesting potential solutions. Directions are provided on how ML could advance future research. Recent developments in the field are also examined.

A hybrid genetic artificial neural network (G-ANN) algorithm for optimization of energy component in a wireless mesh network toward green computing

Abstract: Wireless mesh networks are a special class of wireless networks that are implemented as a collection of radio nodes in a mesh pattern or topology. Unlike MANETs, the mobility of nodes is very less in the topology. Quality of service is an essential metric in the performance of mesh networks which are attributed to several parameters including optimal routing through shortest path, ability for other nodes to communicate even if a particular node in the mesh fails, minimization of packet loss and time delay, computational complexity and cost, energy. This research paper is focused toward minimization of energy taken as the objective function and a five-stage neural network is used and trained after optimizing with a genetic algorithm. The experiments have been conducted in NS2 and Qualnet environment with a varying number of mesh routers and energy computed. The performance of energy savings has been compared against conventional routing techniques like AODV and a bee colony optimization technique presented in the literature. An energy savings of 51% have been reported in the paper justifying the superiority of the hybrid G-ANN algorithm.

Performance Evaluation of ESP8266 Mesh Networks

Abstract: Existing WiFi mesh networks are usually implemented on high-end or PC grade platforms. However, the open source community has been recently developing a unique mesh network library targeted for the low-cost and resource limited ESP8266 platform. The so called painlessMesh library enables two or more ESP8266 modules to self-configure and to form a WiFi mesh network. This might open up new potential for the ESP8266 to be used in wider application areas. The library is in an early development stage and not much is known about its performance. Therefore, this paper aims to evaluate to what extent the ESP8266 painlessMesh network can perform, in terms of one-way delay and data rate. Measurements showed that a 2-node network has a delay of 2.49 ms. A network consisting of higher number of nodes tends to have an increased network delay even for the same hop distance. Meanwhile, data rate measurements showed that for the case of 10-byte payload a node can receive up to 461 messages/sec. Whereas for payload of 4400 bytes, the node can receive up to 28 messages/sec. Furthermore, it can be reported that payload greater than 4400 bytes starts causing incomplete and erroneous messages.

Emergency aware congestion control for smart grid neighborhood area networks

Abstract: The evolution of traditional electricity distribution infrastructures towards Smart Grid networks has generated the need to carry out new research. There are many fields that have attracted the attention of researchers, among which is the improvement of the performance of the so-called Neighborhood Area Networks (NAN). In this sense, and given the critical nature of some of the data transmitted by these networks, maintaining an adequate quality of service (QoS) is absolutely necessary. In emergency situations, this need becomes even more evident. This article presents a congestion control mechanism, whose parameters are modified according to the network state of emergency. The mechanism also applies a multi-channel allocation technique, together with a differentiation in the QoS offered to the different data flows according to their relevance. These proposals have been evaluated in the context of a wireless mesh networks (WMN) made up by a set of smart meter devices, where various smart grids (SG) applications are sending their data traffics. Each SG application must meet its unique quality of service (QoS) requirements, such as reliability and delay. To evaluate the proposals, some NAN scenarios have been built by using the ns-3 simulator and its 802.11s basic model, which was modified to implement the proposed techniques. Compared with the basic Hybrid Wireless Mesh Protocol (HWMP), Emergency Aware Congestion Control proposal (EA-HWMP), shows significant improvements in terms of packet delivery ratio, network throughput and transit time.

Design of a Disaster Information System using Mobile Cloud Wireless Mesh with Delay Tolerant Network

Abstract: There is a constant need to develop platforms and systems for communication and information sharing when infrastructure is unavailable or when available communication systems are weak. This stems from the recognition of the importance of disaster preparedness and risk reduction management especially in the context of a disaster-prone country like the Philippines. This paper presents a Mobile Cloud System for relay of intelligent information when infrastructure is either weak or down. This proposed system is designed to have high mobility and multi-platform integration capabilities which best fits the disaster scenario. The system implements Wireless Mesh Network (WMN), Delay Tolerant (DTN) and Mobile cloud caching capabilities. Mobile Cloud nodes are pre-positioned in a classroom environment which are most likely used as evacuation centers during disasters. Hence, in peace time they serve as nodes for education but become an information system for disaster management during a disaster scenario. Mobile Cloud nodes are cached with key information and data as well as key web applications that are necessary for disaster-preparedness and risk reduction. Key web applications cached on the nodes include decision support applications i.e. messaging, tracking, streaming and alerting. Mobile Cloud clients in the form of mobile devices i.e. mobile phones, tablets and laptops can communicate amongst each other thru their access of the key web applications hosted on the Mobile Cloud System.

Multi-objective routing aware of mixed IoT traffic for low-cost wireless Backhauls

Abstract: The futuristic wireless networks expects to provide adequate support for distinct kind of applications, their diverse requirements, and scenarios for future Internet systems, such as Internet of Things based on multimedia and sensor data, while figuring out low cost solutions to offload the mobile communication core. In this context, Low-cost Wireless Backhauls (LWBs) can be useful, since they are based on cheap WLAN technologies, such as Wireless Mesh Networks that provide capacity for future IoT applications based on mixed traffic. The routing is a fundamental process to provide communication in these multi-hop networks and multi-objective routing optimization algorithms based on Integer Linear Programming (ILP) models have been studied in the literature to address this problem, but there is a lack of solutions for mixed traffic. For this reason, we propose a novel ILP multi-objective approach, called Multi-objective routing Aware of miXed traffIc (MAXI), which employs three weighted objectives to guide the routing in WMNs with different applications and requirements. In addition, we provide a comparative analysis with other relevant approaches of routing using NS-3 to evaluation based on simulation, that takes into account different types and levels of interference (e.g. co-channel interference and external interference) focused on mixed IoT traffic for elderly healthcare scenario. Finally, we demonstrate the effectiveness of the proposed approach to support the requirements of each application through the appropriate combination of objective functions, mainly in dense scenarios with high level of interference.