Title: DV-hop localisation algorithm with DDICS

Authors: Feixiang Li; Zhihua Cui; Bin Sun

Addresses: Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan, Shanxi, 030024, China ' Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan, Shanxi, 030024, China ' Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Taiyuan, Shanxi, 030024, China

Abstract: Dimension by dimension improvement-based cuckoo search algorithm (DDICS) is a recent proposed variant of cuckoo search algorithm. The experimental results illustrate DDICS is superior to several other evolutionary algorithms when solving un-constraint numerical benchmarks. In this paper, we employ it to improve the performance of distance vector-hop method (DV-hop). The simulation results show it achieves the best performance when compared with two other DV-hop algorithms.

Keywords: dimension by dimension improvement; cuckoo search; DDICS; DV-hop location; distance vector; average position error; localisation algorithms; simulation.

DOI: 10.1504/IJCSM.2016.077857

International Journal of Computing Science and Mathematics, 2016 Vol.7 No.3, pp.254 - 262

Received: 10 Feb 2016
Accepted: 14 Mar 2016
Published online: 17 Jul 2016 *

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