Development of Energy Efficient Clustering Protocol in Wireless Sensor Network Using Neuro-Fuzzy Approach.

E. Golden Julie,S. Tamil Selvi

doi:10.1155/2016/5063261

Abstract

Wireless sensor networks (WSNs) consist of sensor nodes with limited processing capability and limited nonrechargeable battery power. Energy consumption in WSN is a significant issue in networks for improving network lifetime. It is essential to develop an energy aware clustering protocol in WSN to reduce energy consumption for increasing network lifetime. In this paper, a neuro-fuzzy energy aware clustering scheme (NFEACS) is proposed to form optimum and energy aware clusters. NFEACS consists of two parts: fuzzy subsystem and neural network system that achieved energy efficiency in forming clusters and cluster heads in WSN. NFEACS used neural network that provides effective training set related to energy and received signal strength of all nodes to estimate the expected energy for tentative cluster heads. Sensor nodes with higher energy are trained with center location of base station to select energy aware cluster heads. Fuzzy rule is used in fuzzy logic part that inputs to form clusters. NFEACS is designed for WSN handling mobility of node. The proposed scheme NFEACS is compared with related clustering schemes, cluster-head election mechanism using fuzzy logic, and energy aware fuzzy unequal clustering. The experiment results show that NFEACS performs better than the other related schemes.

Highlights

Wireless sensor networks (WSN) consist of number of sensor nodes with low energy and limited processing capability
Artificial neural network (ANN) [2], energy efficient hierarchical unequal clustering [3], continuous time recurrent neural network [4], probabilistic neural network [5], neurofuzzy approach [6], and intrusion detection systems based on artificial intelligence technique [7] are classified effectively in WSN
Neuro-fuzzy approach was used in neuro-fuzzy energy aware clustering scheme (NFEACS) to get energy aware clusters and cluster heads

Summary

Introduction

Wireless sensor networks (WSN) consist of number of sensor nodes with low energy and limited processing capability. It is essential to consider energy efficiency for developing cluster based routing schemes in WSN. Energy aware unequal clustering fuzzy (EAUCF) scheme [9] used fuzzy logic to select the cluster heads that considered the residual energy and the distance to the base station of the sensor nodes. The Scientific World Journal behavior of node by intrusion detection system with fuzzy logic technique and identified the attacks such as black hole attack and gray-hole attack. A neuro-fuzzy energy aware clustering scheme (NFEACS) is proposed to form clusters and cluster heads. In order to make energy efficiency, the proposed approach uses the mobility factor and residual energy of the sensor nodes to form clusters.

Related Works

Proposed Neuro-Fuzzy Energy Aware Clustering Scheme

Simulation Results

Conclusion