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Article type: Research Article
Authors: Liu, Yana | Geng, Pengb | Yang, Jieb; * | Chen, Ruib
Affiliations: [a] Department of Mathematics and Physics, Nanjing Institute of Technology, Nanjing 211167, Jiangsu, China | [b] School of Communication Engineering, Nanjing Institute of Technology, Nanjing 211167, Jiangsu, China
Correspondence: [*] Corresponding author: Jie Yang, School of Communication Engineering, Nanjing Institute of Technology, Nanjing 211167, Jiangsu, China. E-mail: [email protected].
Abstract: It is difficult to recharge or replace the batteries in wireless sensor networks. So taking corresponding measures to reduce energy consumption to prolong lifetime without affecting the communication coverage is one of the most important challenges. At present, many researchers use the concept of backbone network to achieve this goal. Nodes which are not in backbone network can go to sleep state for topological simplification and energy conservation. By using the time-based and energy-based topology maintenance, this paper analyzes and compares four backbone-based topology construction protocols, namely A3, A3Cov, EECDS and CDS Rule K. Simulation results show that the time-based-A3 and energy-based-A3 perform better than other protocols in terms of lifetime and communication coverage. Then a hybrid topology control technology based on A3 (hybrid-based-A3) is presented for wireless sensor networks. During the topology construction phase, the importance weight is added into the A3 algorithm. During the topology maintenance phase, we mix time-based and energy-based methods. Based on the “Active Nodes from Sink” and “Communication Coverage” metrics, the performance comparison of time-based-A3, energy-based-A3, and hybrid-based-A3 topology control algorithms are simulated on Java platform. The results show that the hybrid-based-A3 algorithm performances better than time-based-A3 and energy-based-A3.
Keywords: Wireless sensor networks, backbone network, topology control, lifetime, communication coverage
DOI: 10.3233/JCM-180885
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 19, no. 1, pp. 179-195, 2019
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