Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks

Ali, Alsnousi E; Al-Dubai, Ahmed; Romdhani, Imed; Eshaftri, Mohamed

Abstract

In Wireless Sensor Networks, clustering sensor nodes into disjoint groups is widely used to achieve load balance and increase network lifetime. In particular, traditional unequal clustering approaches where small clusters located close to the base station suffer from rapid energy depletion compared to others. To overcome the traffic load problem of near base station clusters, we propose a new two level unequal cluster lightweight approach based on a threshold defined by the base station and using nodes’s residual energy and the distance from base station. Moreover, we developed a new re-clustering technique where Cluster heads rotate locally in each cluster on a per level basis. Simulation results shows that the proposed mechanism outperforms its counterpart algorithms.

Citation

Ali, A. E., Al-Dubai, A., Romdhani, I., & Eshaftri, M. (2018, June). Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks. Presented at The 16th IEEE International Conference on Smart City (IEEE SmartCity-2018), Exeter

• Presentation Conference Type: Conference Paper (published)
• Conference Name: The 16th IEEE International Conference on Smart City (IEEE SmartCity-2018)
• Start Date: Jun 28, 2018
• End Date: Jun 30, 2018
• Publication Date: 2018
• Deposit Date: Apr 24, 2018
• Publicly Available Date: Apr 24, 2018
• Peer Reviewed: Peer Reviewed
• Pages: 1330-1335
• DOI: https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00221
• Keywords: Internet of Things, Wireless Sensor Networks
• Public URL: http://researchrepository.napier.ac.uk/Output/1164167
• Publisher URL: https://www.computer.org/csdl/proceedings-article/hpcc-smartcity-dss/2018/661400b330/183rAekUfXZ
• Contract Date: Apr 24, 2018