Abstract
In this paper, clustering issue of sensor network is addressed. These types of network is a large wireless network, consisting of tiny, low cost sensors which senses phenomenal data, such as light, temperature, pressure, sound, etc. The sensors are small hardware devices, which sense using their sensing unit and measure physical conditions of the area being monitored. There are number of applications in which a hierarchical based network is highly demanded and key concept of such network is clustering. We have proposed clustering heuristic on the basis of ranks and weights assignment based protocol. This approach considers not only residual energy but also node’s degree and distance of nodes with base station. The node which has higher weight will be chosen as a cluster head. The objective of this approach is to have balance distribution of clusters, enhance lifetime and better efficiency than traditional protocols. The same approach is also applied for multi hop clustering. Results show the efficacy of proposed approach in terms of energy consumption of the sensor nodes and longevity of the network.
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Jain, G., Biradar, S.R., Chaurasia, B.K. (2015). Cluster Head Selection Heuristic Using Weight and Rank in WSN. In: Gavrilova, M., Tan, C., Saeed, K., Chaki, N., Shaikh, S. (eds) Transactions on Computational Science XXV. Lecture Notes in Computer Science(), vol 9030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47074-9_8
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DOI: https://doi.org/10.1007/978-3-662-47074-9_8
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