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Security Enabled Cluster Head Selection for Wireless Sensor Network Using Improved Firefly Optimization

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 614))

Abstract

An energy efficient algorithm with security is necessary to extend the existence of the Wireless Sensor Network (WSN). Since sensing, data processing and data transmission by sensor nodes requires more energy, the sensor node become dead due to the presence of rechargeable batteries. In this paper, a security constraint cluster head selection methodology is implemented using Firefly with Dual Update Process (FFDUP) algorithm to reach the objectives such as minimization of energy, delay and distance and maximization of security. Then the analysis based on the network sustainability, manner of cluster head distribution, security awareness and trade-off occurred from the proposed FFDUP algorithm is determined and validated by comparing with conventional algorithms such as Artificial Bee Colony (ABC), FABC, Firefly (FF) and Artificial Bee Colony- Dynamic Scout Bee (ABC-DS). The analytical results proved that the proposed algorithm for the cluster head selection provides superior performance when compared with existing algorithm.

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Correspondence to Achyut Shankar .

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Shankar, A., Jaisankar, N. (2018). Security Enabled Cluster Head Selection for Wireless Sensor Network Using Improved Firefly Optimization. In: Abraham, A., Cherukuri, A., Madureira, A., Muda, A. (eds) Proceedings of the Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016). SoCPaR 2016. Advances in Intelligent Systems and Computing, vol 614. Springer, Cham. https://doi.org/10.1007/978-3-319-60618-7_18

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  • DOI: https://doi.org/10.1007/978-3-319-60618-7_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60617-0

  • Online ISBN: 978-3-319-60618-7

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