Abstract
In the world of the Internet of things, the data generated is huge, data travels through WSNs, and there are many heuristic algorithms for data processing. Wireless sensor nodes are small devices ranging from macro to nano in size which are deployed to acquire data in any wireless sensor network. Any WSN architecture constitutes a large number of nodes for sensing, along with a sink node, positioned closely or far away from the sensing area. The miniaturization of sensor nodes usually restricts the resources available to sensors in terms of energy, storage abilities, and power consumption. In this work a heterogeneous network is considered, for which the performance analysis with energy consumed and network lifetime as its metrics. This work proposes a circularly clustered energy-efficient algorithm in comparison with the classic Low-Energy Adaptive Clustering Hierarchy (LEACH) which is one of the predominant existing methods for cluster-based aggregation of data packets. In this work, the network is divided into circular patterns for data transmission from a source to the base station/sink. This enhances the performance of metrics considered effectively.
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Bhaskar, L., Yamuna Devi, C.R. (2023). Performance Analysis of Classic LEACH Versus CC-LEACH. In: Shukla, P.K., Singh, K.P., Tripathi, A.K., Engelbrecht, A. (eds) Computer Vision and Robotics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-7892-0_7
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DOI: https://doi.org/10.1007/978-981-19-7892-0_7
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