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Improving Network Lifetime of SEECH Clustering Algorithm Using Mobile Sinks and Rendezvous Nodes

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Abstract

Wireless sensor networks (WSNs) are composed of many wireless sensors that gather observations from their nearby region and handover to base station. Since the batteries of sensor nodes are non-replaceable/non-rechargeable, therefore enhancing their lifetime is the primary consideration. Many methods have been presented in the literature in order to reduce the battery consumption of nodes. Clustering algorithms are proved to very effective for doing this task. Scalable energy efficient clustering hierarchy (SEECH) algorithm is found very effective for providing uniform cluster head throughout the network. Mobile sink (MS) is also presented in the literature as a way for reducing energy consumption and rendezvous nodes (RN) to collect data for the MS. The presented algorithm combines SEECH clustering algorithm, multiple mobile sinks (MMS) and rendezvous points (RP) for performing the operation in energy-efficient way. Simulation results show that the proposed algorithm is more efficient than SEECH in terms of lifetime, while tested on large regions.

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Correspondence to Vicky Kumar .

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Kumar, V., Kumar, A., Sharma, G. (2019). Improving Network Lifetime of SEECH Clustering Algorithm Using Mobile Sinks and Rendezvous Nodes. In: Bhargava, D., Vyas, S. (eds) Pervasive Computing: A Networking Perspective and Future Directions. Springer, Singapore. https://doi.org/10.1007/978-981-13-3462-7_6

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  • DOI: https://doi.org/10.1007/978-981-13-3462-7_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3461-0

  • Online ISBN: 978-981-13-3462-7

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