An Energy-Aware and Load-balancing Routing scheme for Wireless Sensor Networks

Mahdi, Omar Adil and Al-Mayouf, Yusor Rafid Bahar and Ghazi, Ahmed Basil and Mohammed, Mazin Abed and Wahab, Ainuddin Wahid Abdul and Idris, Mohd Yamani Idna (2018) An Energy-Aware and Load-balancing Routing scheme for Wireless Sensor Networks. Indonesian Journal of Electrical Engineering and Computer Science, 12 (3). pp. 1312-1319. ISSN 2502-4752, DOI https://doi.org/10.11591/ijeecs.v12.i3.pp1312-1319.

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Official URL: https://doi.org/10.11591/ijeecs.v12.i3.pp1312-1319

Abstract

Energy and memory limitations are considerable constraints of sensor nodes in wireless sensor networks (WSNs). The limited energy supplied to network nodes causes WSNs to face crucial functional limitations. Therefore, the problem of limited energy resource on sensor nodes can only be addressed by using them efficiently. In this research work, an energy-balancing routing scheme for in-network data aggregation is presented. This scheme is referred to as Energy-aware and load-Balancing Routing scheme for Data Aggregation (hereinafter referred to as EBR-DA). The EBR-DA aims to provide an energy efficient multiple-hop routing to the destination on the basis of the quality of the links between the source and destination. In view of this goal, a link cost function is introduced to assess the quality of the links by considering the new multi-criteria node weight metric, in which energy and load balancing are considered. The node weight is considered in constructing and updating the routing tree to achieve dynamic behavior for event-driven WSNs. The proposed EBR-DA was evaluated and validated by simulation, and the results were compared with those of InFRA and DRINA by using performance metrics for dense static networks.

Item Type: Article
Funders: UNSPECIFIED
Uncontrolled Keywords: Data aggregation; Energy efficiency; Load balancing; Routing protocol; Wireless sensor network
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 28 May 2019 05:15
Last Modified: 28 May 2019 05:15
URI: http://eprints.um.edu.my/id/eprint/21369

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