An Energy-Aware Method for Selecting Cluster Heads in Wireless Sensor Networks

Applied Sciences

M.J. Ebadi¹  Mehdi Salimi²  Atefeh Rahiminasab³  Peyman Tirandazi³  Ali Ahmadian⁴ 

[1] DICEAM Department, Mediterranean University of Reggio Calabria Via Graziella Feo di Vito, 89060 Reggio Calabria, Italy;Department of Mathematics & Statistics, McMaster University, Hamilton, ON L8S 4K1, Canada;Institute for Mathematical Research, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia;School of Mathematical Sciences, Kean University (Wenzhou Campus), Wenzhou 325060, China;

关键词: wireless sensor networks;    reduction of energy consumption;    cluster head nodes;    data aggregation;    lifetime;   

DOI  :  10.3390/app10217886

来源: DOAJ

【 摘 要 】

Wireless sensor networks (WSNs) include several sensor nodes that have limited capabilities. The most critical restriction in WSNs is energy resources. Moreover, since each sensor node’s energy resources cannot be recharged or replaced, it is inevitable to propose various methods for managing the energy resources. Furthermore, this procedure increases the network lifetime. In wireless sensor networks, the cluster head has a significant impact on system global scalability, energy efficiency, and lifetime. Furthermore, the cluster head is most important in combining, aggregating, and transferring data that are received from other cluster nodes. One of the substantial challenges in a cluster-based network is to choose a suitable cluster head. In this paper, to select an appropriate cluster head, we first model this problem by using multi-factor decision-making according to the four factors, including energy, mobility, distance to centre, and the length of data queues. Then, we use the Cluster Splitting Process (CSP) algorithm and the Analytical Hierarchy Process (AHP) method in order to provide a new method to solve this problem. These four factors are examined in our proposed approach, and our method is compared with the Base station Controlled Dynamic Clustering Protocol (BCDCP) algorithm. The simulation results show the proposed method in improving the network lifetime has better performance than the base station controlled dynamic clustering protocol algorithm. In our proposed method, the energy reduction is almost $5\%$ more than the BCDCP method, and the packet loss rate in our proposed method is almost $25\%$ lower than in the BCDCP method.

【 授权许可】

Unknown