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GDFEC Protocol for Heterogeneous Wireless Sensor Network

  • S. Swapna Kumar
  • S. Vishwas
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 31)

Abstract

Wireless sensor networks (WSNs) in recent years shown abrupt growth in technological applications. The main research goals of WSN in the area of heterogeneity are to achieve various matrix performances such as high energy efficiency, lifetime and packet delivery nodes. Most proposed clustering algorithms do not consider the situation causes hot spot problems in multi-hop WSNs. To achieve such network the two soft computing techniques applied to energy efficient clustered heterogeneous sensor node network. In this paper proposed the implementation of the real time energy efficient clustering using a Genetic Dual Fuzzy Entropy Clustering (GDFEC) algorithm. Various matrixes of simulation carried out using MATLAB to study the performance under setup conditions. This creates a standardized power distribution among disseminated cluster nodes in the heterogeneous network. The protocol realization carried out on software simulation by different empirical test. The empirical analysis of GDFEC protocol compared with different traditional protocol to evaluate the level of resultant matrix. The protocol evaluation studies have shown that GDFEC protocol able to improve the network performance matrix under the heterogeneous distribution of network nodes.

Keywords

Black hole Clustering Entropy-based algorithms Fuzzy clustering Genetic Wireless sensor networks 

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Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.Department of Electronics and Communication EngineeringVidya Academy of Science and TechnologyThrissurIndia
  2. 2.Department of Computer Science and EngineeringKVG College of EngineeringSulliaIndia

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