Wireless Sensor Network usingTabu Searching Algorithm and Fuzzy Inference System
Avinash Rai1, Mridula Sharma2
1Dr. Avinash Rai, Assistant Professor, Department of Electronics & Communication, University Institute of Technology Bhopal.
2Mridula Sharma, M. Tech. Scholar, Department of Electronics & Communication, University Institute of Technology Bhopal.
Manuscript received on 03 March 2019 | Revised Manuscript received on 11 March 2019 | Manuscript published on 30 July 2019 | PP: 151-154 | Volume-8 Issue-2, July 2019 | Retrieval Number: A1332058119/19©BEIESP | DOI: 10.35940/ijrte.A1332.078219
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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 ongoing mechanical headways in remote and installed innovations have made the assembling of little and minimal effort sensors actually and financially practical. Sensor hubs being little in size, they are intended to have just restricted detecting, registering and remote correspondence abilities. These sensors measure surrounding conditions in the condition encompassing them and afterward change these estimations into signals that can be handled to uncover a few attributes about marvels situated in the region around these sensors. In this paper tabu searching algorithm (TSA) based fuzzy inference system (FIS) to reduce energy consumption and increase packet delivery ratio (PDR). The proposed algorithm is implemented MATALB software and simulated all parameter.
Keywords: WSN, TSA, FIS, PDR
Scope of the Article: Fuzzy Logics