Cross-layer multi channel MAC protocol for interference mitigation
01 Dec 2016-Vol. 2016, pp 1-6
TL;DR: A cross-layer multi-channel MAC (CMCMAC) protocol for interference mitigation between ZigBee and WiFi operating in common 2.4GHz frequency band is developed to avoid the interference between the channels.
Abstract: In a smart grid environment, wireless sensor networks (WSNs) perform a significant role in supervising and taking control decisions based on the data transferred from source to destination. The work in this paper is aimed to develop a cross-layer multi-channel MAC (CMCMAC) protocol for interference mitigation between ZigBee and WiFi operating in common 2.4GHz frequency band. In this protocol, to avoid the interference between the channels, the future interference is predicted using the hidden Markov model, based on the prediction a channel with the minimum interference is selected for data transmission to enhance the network performance. The results obtained show the enriched network performance.
Citations
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TL;DR: An algorithm, Forward Error Correction (CMCMAC-FEC) encoding technique for improving the performance of CMCMAC in order to enhance reliability in communication of the data by ZigBee nodes to the specified destination under the influence of WiFi environment is proposed.
7 citations
07 Sep 2021
TL;DR: In this paper, the performance of energy-efficient algorithms like LEACH, PEGASIS, SEP, DDEEC, EESAA, IAATPC and EESCA are compared.
Abstract: Modern trends in advanced data communications lead to many improvements in the wireless sensor network (WSN) deployment. Sensing the data from the different environments is necessary to monitor and control the applications. It needs to organize a sufficient number of sensor nodes. In WSN, the small-sized sensor node is working with a very small battery with limited energy. Replacing the battery or recharging the battery is not feasible. So, the energy-efficient operation of WSN is the key factor. Many researchers have proposed WSN protocols for enhancing the lifetime and optimize the energy of WSN. In this paper, the performance of energy-efficient Algorithms like LEACH, PEGASIS, SEP, DDEEC, EESAA, IAATPC and EESCA are compared. Based on the simulation carried in MATLAB, the stability period of EESCA is enhanced by approximately 45%, 50% and network lifetime 44%, 65% as compared to LEACH and PEGASIS protocols respectively.
1 citations
08 Dec 2022
TL;DR: In this article , the authors proposed an energy-efficient algorithm for cluster formation and CH selection in heterogeneous WSNs, which takes into account the energy degeneracy threshold value for all different kinds of nodes in a WSN network.
Abstract: Advancements in sensors and actuator technology incorporated with data communication are enhancing the standards of control and automation areas for different applications. The Home area network (HAN) is based on IEEE 802.15.4 is considered for applications like Advanced metering infrastructure in Smart grid applications. In this paper, Wireless Sensor Network is considered for HAN. The sensor data is communicated to the sink via Cluster heads (CH). The work proposed in this paper is identifying a proper CH, among the available cluster nodes. Based on the above we are proposing a novel algorithm Energy-Efficient Algorithm for Cluster formation and Cluster Head selection (EEA-CFCHS) for heterogeneous WSN. The proposed methodology takes into account the energy degeneracy threshold value for all different kinds of nodes in a WSN network. Each CH and cluster nodes proceed to the following round based on the threshold value. Each round ends with a calculation of the CH residual energy. The network begins building a new cluster and electing a new CH, if the amount of energy left is less than the threshold value. The energy consumption is lowered as a result, and the stability period is greatly increased. In this algorithm, the simulation in MATLAB shows how to improve the network's lifetime. When compared to the ESRA and P-SEP protocols, the EEA-CFCHS for WSN improves the stability period by 42 %, 72% the network lifespan by 62%, and the network lifetime by 73.16%.
08 Dec 2022
TL;DR: In this paper , the authors proposed an energy-efficient algorithm for cluster formation and CH selection in heterogeneous WSNs, which takes into account the energy degeneracy threshold value for all different kinds of nodes in a WSN network.
Abstract: Advancements in sensors and actuator technology incorporated with data communication are enhancing the standards of control and automation areas for different applications. The Home area network (HAN) is based on IEEE 802.15.4 is considered for applications like Advanced metering infrastructure in Smart grid applications. In this paper, Wireless Sensor Network is considered for HAN. The sensor data is communicated to the sink via Cluster heads (CH). The work proposed in this paper is identifying a proper CH, among the available cluster nodes. Based on the above we are proposing a novel algorithm Energy-Efficient Algorithm for Cluster formation and Cluster Head selection (EEA-CFCHS) for heterogeneous WSN. The proposed methodology takes into account the energy degeneracy threshold value for all different kinds of nodes in a WSN network. Each CH and cluster nodes proceed to the following round based on the threshold value. Each round ends with a calculation of the CH residual energy. The network begins building a new cluster and electing a new CH, if the amount of energy left is less than the threshold value. The energy consumption is lowered as a result, and the stability period is greatly increased. In this algorithm, the simulation in MATLAB shows how to improve the network's lifetime. When compared to the ESRA and P-SEP protocols, the EEA-CFCHS for WSN improves the stability period by 42 %, 72% the network lifespan by 62%, and the network lifetime by 73.16%.
References
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07 Nov 2002
TL;DR: S-MAC uses three novel techniques to reduce energy consumption and support self-configuration, and applies message passing to reduce contention latency for sensor-network applications that require store-and-forward processing as data move through the network.
Abstract: This paper proposes S-MAC, a medium-access control (MAC) protocol designed for wireless sensor networks Wireless sensor networks use battery-operated computing and sensing devices A network of these devices will collaborate for a common application such as environmental monitoring We expect sensor networks to be deployed in an ad hoc fashion, with individual nodes remaining largely inactive for long periods of time, but then becoming suddenly active when something is detected These characteristics of sensor networks and applications motivate a MAC that is different from traditional wireless MACs such as IEEE 80211 in almost every way: energy conservation and self-configuration are primary goals, while per-node fairness and latency are less important S-MAC uses three novel techniques to reduce energy consumption and support self-configuration To reduce energy consumption in listening to an idle channel, nodes periodically sleep Neighboring nodes form virtual clusters to auto-synchronize on sleep schedules Inspired by PAMAS, S-MAC also sets the radio to sleep during transmissions of other nodes Unlike PAMAS, it only uses in-channel signaling Finally, S-MAC applies message passing to reduce contention latency for sensor-network applications that require store-and-forward processing as data move through the network We evaluate our implementation of S-MAC over a sample sensor node, the Mote, developed at University of California, Berkeley The experiment results show that, on a source node, an 80211-like MAC consumes 2-6 times more energy than S-MAC for traffic load with messages sent every 1-10 s
5,117 citations
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TL;DR: A comprehensive experimental study on the statistical characterization of the wireless channel in different electric-power-system environments, including a 500-kV substation, an industrial power control room, and an underground network transformer vault is presented.
Abstract: The collaborative and low-cost nature of wireless sensor networks (WSNs) brings significant advantages over traditional communication technologies used in today's electric power systems. Recently, WSNs have been widely recognized as a promising technology that can enhance various aspects of today's electric power systems, including generation, delivery, and utilization, making them a vital component of the next-generation electric power system, the smart grid. However, harsh and complex electric-power-system environments pose great challenges in the reliability of WSN communications in smart-grid applications. This paper starts with an overview of the application of WSNs for electric power systems along with their opportunities and challenges and opens up future work in many unexploited research areas in diverse smart-grid applications. Then, it presents a comprehensive experimental study on the statistical characterization of the wireless channel in different electric-power-system environments, including a 500-kV substation, an industrial power control room, and an underground network transformer vault. Field tests have been performed on IEEE 802.15.4-compliant wireless sensor nodes in real-world power delivery and distribution systems to measure background noise, channel characteristics, and attenuation in the 2.4-GHz frequency band. Overall, the empirical measurements and experimental results provide valuable insights about IEEE 802.15.4-compliant sensor network platforms and guide design decisions and tradeoffs for WSN-based smart-grid applications.
1,255 citations
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...[3] reviewed about the monitoring for smart grid based on WSN applications using ZigBee communication accessible at minor cost and less power for carrying out efficient data communication from a source node to the destination....
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TL;DR: A CM2M communications architecture for the smart grid is presented, for which an energy-efficiency driven spectrum discovery scheme is presented and significant energy saving and the reliability in supporting data transmissions in thesmart grid are demonstrated.
Abstract: Based upon cognitive radio technology, we propose a new Machine-to-Machine (M2M) communications paradigm, namely Cognitive M2M (CM2M) communication. We first motivate the use of cognitive radio technology in M2M communications from different point of views, including technical, applications, industry support, and standardization perspectives. Then, our CM2M network architecture and cognitive machine model are presented and the CM2M systems coexistence in TV white spaces is discussed. After that, a CM2M communications architecture for the smart grid is presented, for which we also propose an energy-efficiency driven spectrum discovery scheme. Numerical results demonstrate significant energy saving and the reliability in supporting data transmissions in the smart grid.
398 citations
"Cross-layer multi channel MAC proto..." refers background in this paper
...[6] explained the necessity of enhancing the QoS parameters for improving the reliability and network performance operating at different conditions....
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TL;DR: A novel conceptual design for an application of wireless sensor technology for assessing the structural health of transmission lines and their implementation to improve the observability and reliability of power systems is proposed.
Abstract: Wireless sensor networks are becoming the technology of choice for sensing applications mostly due to their ease of installation and associated lower costs. This paper proposes a novel conceptual design for an application of wireless sensor technology for assessing the structural health of transmission lines and their implementation to improve the observability and reliability of power systems. A two-layer sensor network model is presented for overcoming the communication range limitations of smart sensors, and two operational modes for enhanced energy efficiency are introduced. Simulations integrating the output of the sensor network with an energy-management system were conducted, obtaining improvement in the security of the power system
158 citations
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...[2] introduced transmission lines health monitoring system against the occurrence of faults based on the WSN....
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TL;DR: A mathematical model for the non-beacon enabled mode of the IEEE 802.15.4 Multiple access control (MAC) protocol, composed of nodes which transmit data to a sink through direct links, shows that a tradeoff between energy efficiency and reliability is needed.
Abstract: In this paper, an analytical model for the non beacon-enabled mode of the IEEE 802.15.4 medium access control (MAC) protocol is provided. A wireless sensor network (WSN) composed of nodes, which transmit data to a sink through direct links, is considered. Upon reception of a query from the sink, the nodes transmit their packets by using the carrier-sense multiple access with collision-avoidance algorithm defined by IEEE 802.15.4. Our mathematical model allows the evaluation of the statistical distribution of the traffic generated by the nodes. In particular, the probability that a node succeeds when accessing the channel, and that the final sink receives a packet coming from whatever node, is derived. The results show how the distribution of traffic changes when different loads are offered to the network. Moreover, the model allows the evaluation of the optimum size a packet should have so that the success probability for its transmission is maximized. The results are validated through simulations. The model differs from those previously published by other authors in the literature as it precisely follows the MAC procedure defined by the standard in the context of the WSN scenario described.
150 citations
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