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Performance Improvement of Wireless Sensor Network using Game Theory


Aditya Sharma , Bharati vidyapeeth college of engineering,navi mumbai; Vineet Singh, Bharati vidyapeeth college of engineering,navi mumbai; Dhiraj Upadhyay, Bharati vidyapeeth college of engineering,navi mumbai


Wireless Sensor Network, Back Off Algorithm, Throughput, Packets, Game Theory, NS2


Wireless sensor network (WSN) comprising of tiny, power-constrained nodes are gaining popularity due to their effective use in a wide variety of application like monitoring of environmental attributes, intrusion detection and various other application. The IEEE 802.15 standard along with enhanced (medium access control) MAC layer is responsible for connecting various multimedia services to wireless sensor network, while the sensing objectives devices are unique and application dependent, some common performance criteria has been established for prolonged network connectivity and enhancing performance of the system. In this paper, we look at the problem of performance and energy efficiency and different formulation of these problem based on the approach of game theory. The suitability of using game theory to study performance and energy efficiency problems and forming various scenarios using WSN models is because of the strategic interaction between nodes. Approaches from game theory can be used to optimize node-level as well as network-wide performance by exploiting the distributed decision-making capabilities of WSNs. The strategic formulation takes into account the distributed coordination function of various node, their contention window, based on that an optimal back off is selected. These formulations are tested on a network simulator creating an environment where nodes are monitored based on their performance and energy efficiency.

Other Details:

Manuscript Id :IJSTEV4I10051
Published in :Volume : 4, Issue : 10
Publication Date: 01/05/2018
Page(s): 86-90
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