Abstract
The essence of localization in wireless sensor networks is the estimation of locations of unknown nodes for proper steering of data to the base station. The DV-Hop and Centroid based range free localization algorithms are widely explored algorithms. But the basic and improved versions of these algorithms still bear a large localization error. First, we simulated the basic forms of these two algorithms, and then, the performance measure the localization error is calculated. Further the swarm based soft computing technique particle swarm optimization (PSO) is applied on these algorithms and the effects of change in communication range, anchor ratio, number of nodes, and network size on localization error is studied. It may be established that the positioning error in both of the algorithms reduces by utilizing the PSO.
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Gupta, V., Singh, B. (2022). Investigation of Localization Error in Range Free Centroid and DV-Hop Based Localization Algorithms and Optimization Using PSO. In: Das, K.N., Das, D., Ray, A.K., Suganthan, P.N. (eds) Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-6893-7_62
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