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Energy-Efficient Cluster-Based Aggregation Protocol for Heterogeneous Wireless Sensor Networks

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 243))

Abstract

The main goal of the data aggregation protocol is to gather and aggregate data in a wireless sensor network (WSN) in an energy-efficient manner. Prolonging the network lifetime depends on the efficient management of sensor nodes energy resource by minimizing the number of transmissions through aggregating similar data from nearby region. The clustering technique and aggregating the correlated data greatly minimize the energy consumed in collecting and disseminating the data. Reducing the energy consumption of the nodes to prolong the network lifetime is considered a critical challenge while designing protocol for WSN. In this work, we propose a novel Energy-Efficient Cluster-Based Aggregation Protocol (EECAP) for heterogeneous WSN. The main focus in this proposed work is to achieve energy efficiency by proper selection of nodes for cluster heads by considering residual energy of a node. We present experimental results by calculating the lifetime of network using various parameters such as average residual energy of nodes, number of dead nodes after each round, and death of first and last nodes in the network. The results are compared with Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol and Stable Election Protocol (SEP). The EECAP performs better in both homogeneous and heterogamous WSNs.

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Correspondence to Prakashgoud R. Patil .

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© 2014 Springer India

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Patil, P.R., Kulkarni, U.P. (2014). Energy-Efficient Cluster-Based Aggregation Protocol for Heterogeneous Wireless Sensor Networks. In: Mohapatra, D.P., Patnaik, S. (eds) Intelligent Computing, Networking, and Informatics. Advances in Intelligent Systems and Computing, vol 243. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1665-0_13

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  • DOI: https://doi.org/10.1007/978-81-322-1665-0_13

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1664-3

  • Online ISBN: 978-81-322-1665-0

  • eBook Packages: EngineeringEngineering (R0)

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