Abstract
In this paper, we propose a load balancing clustering approach for grid-based deterministic deployment in Wireless Sensor Networks (WSN). A hybrid deployment is considered where deterministic deployment is performed at the edges of the grid and random deployment is performed in the whole network. Heterogeneity in terms of energy is provided to the nodes at the edges. These nodes will be more powerful than normal nodes and will act as Cluster Heads (CHs). Uneven clustering is performed in the network. Using uneven clustering and heterogeneity, the network lifetime of the hybrid deployment in grid-based network can be improved when large number of nodes are deployed. The network operates for 800 s more in case of 200 nodes.
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Kaur, S., Mir, R.N. (2020). A Hybrid Deployment Approach for Grid-Based Wireless Sensor Network. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 1077. Springer, Singapore. https://doi.org/10.1007/978-981-15-0936-0_27
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DOI: https://doi.org/10.1007/978-981-15-0936-0_27
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