Global Conference on Nanomedicine, Nanobiology, Nanotechnology & Pharmacology
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Accepted Abstracts

Optimization of Heterogeneous Sensor Networks with Distributed energy efficient clustering via Game theroy Algorithms

Deepak Choudhary*, Sanjay Kumar Singh, Jai Shankar Kesari
ABES Engg. College Ghaziabad, India

Citation:  Choudhary D, Singh SK, Kesari JS (2019) Optimization of Heterogeneous Sensor Networks with Distributed energy efficient clustering via Game theroy Algorithms. SciTech Nanosciences-Pharma 2019. Tokyo: Japan

Received: August 27, 2019         Accepted: August 29, 2019         Published: August 29, 2019

Abstract

Wireless sensor network is considered as the most applicable standards for the monitoring system. Optimization that relates to wireless sensor network planning, design, deployment, and operation has to consider many parameters so that there is no conflict among the sensor especially in heterogenous network with various platforms. In such network, energy consumption determines the system stability. Clustering mechanism in a wireless sensor network can also simplify network management process. Distributed energy efficient clustering (DEEC) is used as clustering protocol. This protocol work based on residual energy. This protocol is robust enough, but in a certain condition it has a pit of weakness. Game theory is being proposed as optimization algorithm of the clustering process. It is used to adjust the probability of node to become cluster head based on residual energy to prolong cluster lifetime.