Energy-Aware Adaptive Weighted Grid Clustering Algorithm for Renewable Wireless Sensor Networks
Nelofar Aslam,
Kewen Xia,
Muhammad Tafseer Haider and
Muhammad Usman Hadi
Additional contact information
Nelofar Aslam: School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China
Kewen Xia: School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China
Muhammad Tafseer Haider: Department of Computer Science and Engineering, University of Engineering and Technology (UET), Lahore 54890, Pakistan
Muhammad Usman Hadi: Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, 40136 Bologna, Italy
Future Internet, 2017, vol. 9, issue 4, 1-21
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.
Keywords: wireless sensor networks (WSNs); wireless portable charging device (WPCD); energy consumption; vacation time; wireless power transfer; grid clustering routing protocol; cluster head (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1999-5903/9/4/54/pdf (application/pdf)
https://www.mdpi.com/1999-5903/9/4/54/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:9:y:2017:i:4:p:54-:d:112988
Access Statistics for this article
Future Internet is currently edited by Ms. Grace You
More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().