Performance Analysis of an Fuzzy Logic Based LEACH Protocol

Abstract

Industrial Internet of Things turns existing machinery into smart devices by using wireless sensor nodes for gathering information and connecting to the cloud. These wireless sensor nodes are with limited computing capability, low bandwidth and limited power. Thus, designing a good routing protocol that ensures minimum energy consumption is getting more important. Variants of low energy adaptive clustering hierarchy (LEACH) protocol were proposed due to the popularity of LEACH protocol. In this paper, analysis is performed on the fuzzy logic controller that had been used extensively in many fuzzy logic controller based LEACH protocols. We focus mainly on comparing one of the fuzzy logic controller based LEACH protocol with the original LEACH protocol. Experimental results show that the fuzzy logic based LEACH protocol that selects the cluster head by comparing the generated fuzzy output and pre-defined threshold is inferior to the original LEACH protocol in term of the lifespan of the deployed wireless sensor network. It is found that the generated fuzzy output is not uniformly distributed and thus the strategy to select cluster head based on comparing the generated fuzzy output with the pre-defined threshold value is not promising to extend the lifespan of the deployed wireless sensor network.