Title: Fuzzy-based fault-tolerant low-energy adaptive clustering hierarchy routing protocol for wireless sensor network
Authors: Maya Shelke; Getenet Tefera; Akshay Malhotra; Parikshit Mahalle
Department of Computer Science and Information Technology, Symbiosis Institute of Technology, Pune, Maharashtra, India
Department of Computer Science, Symbiosis Institute of Technology, Pune, Maharashtra, India
Department of Electronics and Telecommunications, Symbiosis Institute of Technology, Pune, Maharashtra, India
Department of Computer Science, Smt. Kashibai Navale COE, Pune, Maharashtra, India
Abstract: Wireless sensor networks employ a number of sensor nodes (motes) that have limitations of battery-power, sensing, computation, and wireless communication capabilities. The design of an efficient routing protocol to be used by these motes has a very significant impact on the overall lifetime of the network. Clustering motes and structuring them hierarchically provides better data aggregation and scalability while also considering the energy constraints. We present an enhanced version of Low Energy Adaptive Clustering Hierarchy (LEACH) routing protocol called Fuzzy Based Fault Tolerant-LEACH (FTLEACH), which considers remaining battery-power, centrality of cluster head and node density during routing. The routing process involves clustering of motes, assigning of cluster head, replica cluster head and identifying faulty motes. Our results show that the enhanced approach provides better performance than the existing LEACH protocol in terms of first node fails, and half node alive and it exhibits better stability, and lower delay and maximises network lifetime.
Keywords: wireless sensor networks; WSNs; fuzzy logic; replica cluster head; faulty nodes; FTLEACH; fault tolerant LEACH; low-energy adaptive clustering hierarchy; fault tolerance; routing protocols; network lifetime; energy efficiency; energy consumption.
Int. J. of Wireless and Mobile Computing, 2016 Vol.11, No.2, pp.117 - 123
Submission date: 01 Mar 2016
Date of acceptance: 01 Sep 2016
Available online: 02 Nov 2016