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Fuzzy Based Analysis of Energy Efficient Protocols in Heterogeneous Wireless Sensor Networks

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Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 44))

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Abstract

Recent technological advances in wireless sensor network (WSN) lead to many new applications where energy awareness consideration is essential. There are some constrained to use wireless sensor network like energy, environmental effect like temperature, pressure, sound. To overcome these issues many new protocols are developed where energy awareness consideration is important. Most of the work reputed deals with modification, design, development of new routing protocols; which works for different applications of wireless network architectures. This paper analyzes the energy efficient operation in wireless sensor nodes. For this purpose, Low Energy Adaptive Clustering Hierarchy (LEACH), Hierarchical Cluster based Routing (HCR), Stable Election Protocol (SEP) and Gateway Cluster Head Election–Fuzzy Logic (GCHE-FL) protocols were analyze and compare. Clustering algorithm has been used because it reduces the energy of the sensor network. In the present work, Fuzzy logic with three input parameters and single output parameter; is used in cluster head election and protocol gateway heterogeneous wireless sensor network. It has been observed that in GCHE-FL the sensor node being alive for much more time as compare to LEACH, SEP, HCR.

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Correspondence to Rajeev Arya .

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Arya, R., Sharma, S.C. (2016). Fuzzy Based Analysis of Energy Efficient Protocols in Heterogeneous Wireless Sensor Networks. In: Nagar, A., Mohapatra, D., Chaki, N. (eds) Proceedings of 3rd International Conference on Advanced Computing, Networking and Informatics. Smart Innovation, Systems and Technologies, vol 44. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2529-4_23

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  • DOI: https://doi.org/10.1007/978-81-322-2529-4_23

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2528-7

  • Online ISBN: 978-81-322-2529-4

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