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E2TS: Energy Efficient Time Synchronization Technique in Large Scale Wireless Sensor Network

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Artificial Intelligence Perspectives and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 347))

Abstract

Time Synchronization is one of the critical successful factor for performing optimal data dissemination process in wireless sensor network. The literature archives shows that there are two types of research attempts e.g. i) first types are very standard and considered as benchmarks, and ii) second types of research work are enhancement work of prior types. However, the levels of enhancement have not witnessed any robust benchmarks in time synchronization principle most recently. The proposed investigation have identified that there are few studies that have evaluated the impact of time synchronization algorithms on energy efficiency. Hence, we present a novel algorithm E2TS-Energy Efficient Time Synchronization that lay emphasis on modelling a control message for performing time synchronization using node-to-node interaction by minimizing the transmission latency and tuning up the difference between the local clocks. With low storage complexity, E2TS also ensures that energy required for performing time synchronization is very minimal. Designed in Matlab, the outcome of E2TS is compared with available benchmarks to find more energy efficient with considerably less error occurrence with increasing number of hops. Hence, the E2TS hold suitable to perform time synchronization for large wireless sensor network.

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Nagarathna, K., Mallapur, J.D. (2015). E2TS: Energy Efficient Time Synchronization Technique in Large Scale Wireless Sensor Network. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Prokopova, Z., Silhavy, P. (eds) Artificial Intelligence Perspectives and Applications. Advances in Intelligent Systems and Computing, vol 347. Springer, Cham. https://doi.org/10.1007/978-3-319-18476-0_23

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  • DOI: https://doi.org/10.1007/978-3-319-18476-0_23

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18475-3

  • Online ISBN: 978-3-319-18476-0

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