Energy-aware adaptive weighted grid clustering algorithm for renewablewireless sensor networks

Nelofar Aslam, Kewen Xia, Muhammad Tafseer Haider, Muhammad Usman Hadi

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)
2 Downloads (Pure)

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.

Original languageEnglish
Article number54
Number of pages21
JournalFuture Internet
Volume9
Issue number4
DOIs
Publication statusPublished - 23 Sep 2017

Keywords

  • Cluster head
  • Energy consumption
  • Grid clustering routing protocol
  • Vacation time
  • Wireless portable charging device (WPCD)
  • Wireless power transfer
  • Wireless sensor networks (WSNs)

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