B. Baranidharan ¹, S. Srividhya ², B. Santhi ¹

Affiliations
1 Department of Computer Science Engineering, SASTRA University, IN
2 Advanced Computing, SASTRA University, IN

Abstract

Energy efficient modeling is a major issue in the wireless sensor network. The main solution for energy efficient routing is by means of clustering. This paper proposes an unequal clustering approach in the networks for even energy distribution. It also reduces the overall energy consumption which in turn improves the network lifetime. The simulation is carried out in MATLABR2010a. The energy needed for entire operations for one round using the proposed method is lesser than that of LEACH, an equal clustering methodology.

Keywords

Clustering, Energy Efficient, Unequal Clustering

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S. Srividhya ¹, V. Ganapathy ¹, V. Rajaram ²

Affiliations
1 Department of Information Technology, Faculty of Engineering and Technology, SRM University, Kattankulathur - 603203, IN
2 Department of Information Technology, Sri Venkateswara College of Engineering, Sriperumbuthur – 602117, Tamil Nadu, IN

Abstract

Objectives: Sensor nodes in Wireless Sensor Networks are battery powered and non rechargeable, and hence in most of the real time applications energy consumption is a major problem. The lifetime of the network also depends upon the energy consumption model which may affect the entire performance of the networks. The main aim of the proposed Hierarchical Unequal Clustering Fuzzy Algorithm (HUCFA) is to reduce the energy consumption of over all networks. Methods/Statistical Analysis: Clustering is an important technique used for energy efficient data communication in WSN. Fuzzy logic is applied in the proposed algorithm to choose the cluster head, which enhances the energy efficiency. To choose a better cluster head, the characteristics of the nodes are taken as input for fuzzy inference system. Based on the fuzzy rules, best nodes are selected as cluster heads. Fuzzy Logic Toolbox in Matlab R2010a is utilized for the simulation. Findings: Total Energy Consumption of the network (TEC) in HUCFA is 7.05% less when compared to LEACH. Standard deviation of energy distribution among all the clusters in the HUCFA is 10.46% less than that of LEACH protocol and 0.79% less than Hierarchical Unequal Clustering Algorithm. Application/Improvements: The proposed HUCFA using Fuzzy Logic is found to be better and more energy efficient for the applications involving low powered sensor nodes which is proved through simulation results.

Keywords

Clustering, Energy Efficieny, Fuzzy, Sensor.

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