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A Comparative Analysis of LEACH, TEEN, SEP and DEEC in Hierarchical Clustering Algorithm for WSN Sensors

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Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 33))

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Abstract

Remote sensor system (RSS) is a framework formed with an extensive number of minimal effort micro-sensors. Number of messages can be sent to the base station (BS) by using this system. RSS includes ease hubs with affected battery power, additionally the battery swap isn’t easy for WSN with thousands of physically inserted hubs, which suggests vitality productive steering convention to supply a long-labor of affection time. To accomplish the point, we require not just minimizing absolute vitality utilization additionally to adjust WSN load. Scientists have proposed numerous conventions, for example, LEACH, TEEN, SEP, DEEC. The elective Cluster Heads (CHs) communicate the base Station (BS) through beta elective nodes, by exploitation multi-hopping. We tend to logically divide the network into two elements, on the idea of the residual energy of nodes. The normal nodes with high initial and residual energy are going to be extremely probable to be CHs than the nodes with minor energy. The algorithms applied in a situation where initial energies of nodes are different from each other are called as mixed clustering schemes. It is difficult to implement an energy aware mixed clustering algorithm due to the complex energy design of the network.

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Correspondence to Anitha Amaithi Rajan .

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Rajan, A.A., Swaminathan, A., Brundha, Pajila, B. (2020). A Comparative Analysis of LEACH, TEEN, SEP and DEEC in Hierarchical Clustering Algorithm for WSN Sensors. In: Balaji, S., Rocha, Á., Chung, YN. (eds) Intelligent Communication Technologies and Virtual Mobile Networks. ICICV 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 33. Springer, Cham. https://doi.org/10.1007/978-3-030-28364-3_39

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  • DOI: https://doi.org/10.1007/978-3-030-28364-3_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28363-6

  • Online ISBN: 978-3-030-28364-3

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