An Enhanced Hierarchical Clustering Approach for Mobile Sensor Networks Using Fuzzy Inference Systems

作者：Lee Jin Shyan^*; Teng Chih Lin

来源：IEEE Internet of Things Journal, 2017, 4(4): 1095-1103.

DOI：10.1109/JIOT.2017.2711248

• Cluster head (CH) selection
• fuzzy inference systems (FISs)
• hierarchical clustering
• mobility
• sensor networks

Energy conservation plays a crucial role in sensor network design. Hierarchical clustering design is one of the approaches to save energy of the sensor networks. However, for mobile sensor networks (MSNs), packet loss that occurs due to the mobility of sensor nodes is also an important issue. In this paper, an improved low-energy adaptive clustering hierarchy protocol for MSNs has been proposed to not only prolong the network lifetime, but also reduce the packet loss using fuzzy inference systems. Simulation results indicate that the proposed approach is more effective than the other existing ones in terms of the network lifetime, energy consumption, packet delivery ratio, and cluster deviation. Therefore, the technique presented in this paper could further be adapted to investigate highly MSNs.

• 出版日期2017-8