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Performance Analysis Of Era Using Fuzzy Logic In Wireless Sensor Network

Authors: Kamalpreet Kaur; Harjit Pal Singh; Vikas Khullar;

Performance Analysis Of Era Using Fuzzy Logic In Wireless Sensor Network

Abstract

{"references": ["Aamir Shaikh and Siraj Pathan. \"Research on Wireless Sensor Network Technology\" International Journal of Information and Education Technology, Vol. 2, No. 5, pp: 476-479, October 2012.", "Hoda Taheri, Peyman Neamatollahi, Mahmoud Naghibzadeh, Mohammad-Hossein Yaghmaee, \"Improving on HEED Protocol of Wireless Sensor Networks using Non-Probabilistic Approach and Fuzzy Logic (HEED-NPF),\" 5th International Symposium on Telecommunications (IEEE), pp: 193-198, 2010.", "Baghouri Mostafa, Chakkor Saad and Hajraoui Abderrahmane, \"Fuzzy Logic Approach to Improving Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks,\" Journal of Theoretical and Applied Information Technology, Vol. 53 No. 3, pp: 334-339, July 2013.", "Vibha Nehra, Raju Pal, Ajay K Sharma, \"Fuzzy-Based leader Selection for topology controlled PEGASIS protocol for lifetime enhancement in wireless sensor network\", International journal of computers and technology, Vol.4 No. 3, pp: 755-764, March-April,2013.", "SachinGajjar, Mohanchur Sarkar, Kankar Dasgupta, \"Cluster Head Selection Protocol using Fuzzy Logic for Wireless Sensor Networks,\" International Journal of Computer Applications (IEEE), Vol. 97, No. 7, pp:38-43, July 2014.", "Tarachand Amgoth, Prasanta K. Jana, \"Energy-aware routing algorithm for Wireless sensor networks\", Computer and Electrical Engineering, pp: 1-11, 2014.", "Kaebeh Yaeghoobi S. B., M. K. Soni, SS Tyagi, \"Performance Analysis of Energy-Efficient Clustering Protocols to Maximize Wireless Sensor Networks Lifetime\", International Conference on Software Computing Techniques and Implementations, pp: 170-176, 2015.", "Neha Sahu, Surendra Dubey, Tarun Dhar Diwan, \"Energy Efficient Communication Routing Protocols in Wireless Sensor Network Services\", International Research Journal of Engineering and Technology (IRJET), pp: 1013-1019, 2015.", "Padmalya Nayak, D. Anurag, \"A Fuzzy Logic based clustering Algorithm for WSN to extend the Network lifetime\", IEEE sensors journal, Vol.16 No.1, pp: 137-144, 2015.\n[10]\tPriya, Manoj Kumar, Harjit Pal Singh, \"Compression based Energy aware routing algorithm for WSN\", International Journal of Advanced Research in Computer Engineering & Technology, Vol. 4 No. 9, pp. 3648-3653, 2015.\n[11]\tQussama Ben Belghith, Lasaad Sbita, \"Extending the Network Lifetime of Wireless Sensor Networks Using Fuzzy Logic\", 12th International Multi-Conference on Systems, Signals & Devices, pp: 1-5, 2015.\n[12]\tShengyang Chen, Zhenhui Yuan, Gabriel-Miro Muntean, \"An Energy-Aware Routing Algorithm for Quality-Oriented Wireless Video Delivery\", IEEE Transactions on Broadcasting, pp: 1-14, 2015.\n[13]\tPriyanka R. More, Prof. Dr. Swati. V. Sankpal, \"Energy Aware Routing using Energy Efficient Routing Protocol in Wireless Ad hoc Network\", International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) , pp: 1258-1261, 2016.\n[14]\tS. A. Sahaaya Arul Mary, Jasmine Beulah Gnanadurai, \"Enhanced Zone Stable Election Protocol based on Fuzzy Logic for Cluster Head Election in Wireless Sensor Networks\", International Journal of Fuzzy Systems, Springer, vol.18,No.2, pp:270-283, April 2016."]}

In Wireless Sensor Network (WSN), the main limitation is generally inimitable energy consumption during processing of the sensor nodes. Cluster head (CH) election is one of the main issues that can reduce the energy consumption. Therefore, discovering energy saving routing protocol is the focused area for research. In this paper, fuzzy-based energy aware routing protocol is presented, which enhances the stability and network lifetime of the network. Fuzzy logic ensures the well-organized selection of CH by taking four linguistic variables that are concentration, energy, centrality, and distance to base station (BS). The results show that the proposed protocol shows better results in requisites of stability and throughput of the network.

Keywords

fuzzy logic, network model, ERA, WSN.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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