Energy-Aware Adaptive Weighted Grid Clustering Algorithm for Renewable Wireless Sensor Networks

Wireless sensor networks (WSNs), built from many battery-operated sensor nodes are distributed in the environment for monitoring and data acquisition. Subsequent to the deployment of sensor nodes, the most challenging and daunting task is to enhance the energy resources for the lifetime performance...

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Vydáno v:	Future internet Ročník 9; číslo 4; s. 54
Hlavní autoři:	Aslam, Nelofar, Xia, Kewen, Haider, Muhammad, Hadi, Muhammad
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.12.2017
Témata:	Adaptive algorithms Batteries cluster head Clustering Clusters Computer simulation Cycle time Energy conservation Energy consumption Energy management Energy sources Environmental monitoring grid clustering routing protocol Internet Portable equipment Power consumption Remote sensors Residual energy Sensors Shortest-path problems vacation time Wireless communications wireless portable charging device (WPCD) wireless power transfer Wireless power transmission Wireless sensor networks wireless sensor networks (WSNs)
ISSN:	1999-5903, 1999-5903
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Abstract	Wireless sensor networks (WSNs), built from many battery-operated sensor nodes are distributed in the environment for monitoring and data acquisition. Subsequent to the deployment of sensor nodes, the most challenging and daunting task is to enhance the energy resources for the lifetime performance of the entire WSN. In this study, we have attempted an approach based on the shortest path algorithm and grid clustering to save and renew power in a way that minimizes energy consumption and prolongs the overall network lifetime of WSNs. Initially, a wireless portable charging device (WPCD) is assumed which periodically travels on our proposed routing path among the nodes of the WSN to decrease their charge cycle time and recharge them with the help of wireless power transfer (WPT). Further, a scheduling scheme is proposed which creates clusters of WSNs. These clusters elect a cluster head among them based on the residual energy, buffer size, and distance of the head from each node of the cluster. The cluster head performs all data routing duties for all its member nodes to conserve the energy supposed to be consumed by member nodes. Furthermore, we compare our technique with the available literature by simulation, and the results showed a significant increase in the vacation time of the nodes of WSNs.
AbstractList	Wireless sensor networks (WSNs), built from many battery-operated sensor nodes are distributed in the environment for monitoring and data acquisition. Subsequent to the deployment of sensor nodes, the most challenging and daunting task is to enhance the energy resources for the lifetime performance of the entire WSN. In this study, we have attempted an approach based on the shortest path algorithm and grid clustering to save and renew power in a way that minimizes energy consumption and prolongs the overall network lifetime of WSNs. Initially, a wireless portable charging device (WPCD) is assumed which periodically travels on our proposed routing path among the nodes of the WSN to decrease their charge cycle time and recharge them with the help of wireless power transfer (WPT). Further, a scheduling scheme is proposed which creates clusters of WSNs. These clusters elect a cluster head among them based on the residual energy, buffer size, and distance of the head from each node of the cluster. The cluster head performs all data routing duties for all its member nodes to conserve the energy supposed to be consumed by member nodes. Furthermore, we compare our technique with the available literature by simulation, and the results showed a significant increase in the vacation time of the nodes of WSNs.
Author	Haider, Muhammad Xia, Kewen Aslam, Nelofar Hadi, Muhammad
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SubjectTerms	Adaptive algorithms Batteries cluster head Clustering Clusters Computer simulation Cycle time Energy conservation Energy consumption Energy management Energy sources Environmental monitoring grid clustering routing protocol Internet Portable equipment Power consumption Remote sensors Residual energy Sensors Shortest-path problems vacation time Wireless communications wireless portable charging device (WPCD) wireless power transfer Wireless power transmission Wireless sensor networks wireless sensor networks (WSNs)
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Title	Energy-Aware Adaptive Weighted Grid Clustering Algorithm for Renewable Wireless Sensor Networks
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