An Evaluation on Game Theory Problem of RSSI Localization Technique in Wireless Sensor Networks
S.M. Chithra1, S.Sridevi2, S. Satheesh3, V.Vinoba4
1S.M. Chithra, Associate Professor of Mathematics, R.M.K. College of Engineering and Technology Chennai.
2S. Sridevi, Assistant Professor of Mathematics, Queens College of Arts & Science (W), Thanjavur.
3S. Satheesh, Assistant Professor of Mathematics, T.J.S. Engineering College, Chennai.
4V.Vinoba, HOD &Assistant Professor of Mathematics, K.N. Government Arts College for Women, Thanjavur.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 1064-1071 | Volume-8 Issue-12, October 2019. | Retrieval Number: L40051081219/2019©BEIESP | DOI: 10.35940/ijitee.L4005.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The most interesting and challenging research areas in WSNs are routing protocol based on RSSI localization technique in wireless sensor networks. Get-up-and-go safeguarding is the most important experiment for WSNs and make the most of the energy efficiently during routing is an essential requirement and is a demanding task for all other research areas in WSNs. Enhancing the lifespan of the network be contingent on game theory based on RSSI localization technique in wireless sensor networks are the foremost purposes in Machiavellian WSNs since the course-plotting up for theory based on RSSI sensor nodes are battery operated and cannot be replenished or recharged frequently. Here game theory based on RSSI localization for increasing the Wireless Sensor Network life-time using Ant Colony Optimization metaheuristics.
Keywords: Game theory, RSSI, Wireless Sensor Network
Scope of the Article: Wireless Sensor Network