Title: Improved location algorithm based on DV-hop for the indoor internet of things

Authors: Qian Cai; Chengtian Ouyang; Yiwang Huang

Addresses: School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi Province, China ' School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi Province, China ' School of Data Science, Tongren University, Tongren, China

Abstract: Information perception is the basic function of the internet of things and the basic means by which an IoT information system is capable of comprehensive perception. In this paper, the DV-Hop localisation algorithm is improved by modifying the average jump distance and weighting factor to improve the information localisation and perception accuracy of the internet of things. The simulation results show that the algorithm meets the requirements of the information sense of the internet.

Keywords: internet of things; DV-Hop; information perception; weighting factor; average jump distance.

DOI: 10.1504/IJWMC.2018.096008

International Journal of Wireless and Mobile Computing, 2018 Vol.15 No.3, pp.251 - 257

Received: 03 Jul 2018
Accepted: 07 Aug 2018
Published online: 06 Nov 2018 *

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