Weight Driven Cluster Head Rotation for Wireless Sensor Networks

Eshaftri, Mohamed A.; Al-Dubai, Ahmed Y.; Romdhani, Imed; Essa, Alsnousi

Abstract

Energy efficiency is one of the major issues in Wireless Sensor Networks (WSNs), due to the limited power and processing capabilities of the Sensor Nodes (SNs). The clustering techniques proved to be the effective solution to improve the energy efficiency and prolong the network lifetime. However, in the data transmission task, the Cluster Heads (CHs) consume more energy than the ordinary Cluster Members (CMs). Moreover, more energy and time are wasted through the cluster selection in every round.
To address these issues, we propose a new protocol called Weight Driven Cluster Head Rotation for Wireless Sensor Network (WDCR). The WDCR introduces a new weight-driven rotation method to balance the energy consumption among nodes within a cluster, along with unequal clustering algorithm to balance the energy consumption among clusters. Simulation experiments show that WDCR significantly reduces the energy dissipation of sensor node, and improves the network lifetime compared to the existing cluster protocols.

Citation

Eshaftri, M. A., Al-Dubai, A. Y., Romdhani, I., & Essa, A. (2016, November). Weight Driven Cluster Head Rotation for Wireless Sensor Networks. Presented at Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media - MoMM '16, Singapore

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media - MoMM '16
• Start Date: Nov 28, 2016
• End Date: Nov 30, 2016
• Acceptance Date: Oct 3, 2016
• Online Publication Date: Nov 28, 2016
• Publication Date: Nov 28, 2016
• Deposit Date: Oct 10, 2016
• Publisher: Association for Computing Machinery (ACM)
• Pages: 327-331
• Book Title: Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media MoMM'16
• ISBN: 9781450348065
• DOI: https://doi.org/10.1145/3007120.3007170
• Keywords: Wireless Sensor Networks, Internet of Things,
• Public URL: http://researchrepository.napier.ac.uk/Output/402310