A multidimensional scaling localisation algorithm based on bacterial foraging optimisation
by Qing-Shan Zhao; Guo-Yan Meng; Hu Yu-Lan
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 6, No. 1, 2013

Abstract: To make up for the shortage of the dwMDS(G) algorithm on the positioning accuracy and convergence performance, this paper proposes a multidimensional scaling localisation algorithm based bacterial foraging optimisation. Firstly, MDS (Multidimensional scaling) algorithm is used to obtain the unknown nodes initial coordinates. Secondly, BFO (bacterial foraging optimisation) algorithm is adopted to obtain the unknown nodes final coordinates by optimising the local cost function. Experimental results show that the localisation accuracy, convergence and robustness of the proposed algorithm are better than that of the existing dwMDS(G) algorithm.

Online publication date: Sat, 11-Oct-2014

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