Journal of System Simulation
Abstract
Abstract: Improvement strategies are provided in view of the fact that the original DV-Hop (Distance, Vector-Hop) method has great error in distance estimation due to the network anisotropy in practical applications and the sensitivity of its location derivation algorithm to the range error. In the distance estimation step, a strategy of computing path similarity parameter is proposed to find out the most similar beacon-beacon path to beacon-node path; in the position calculation step, a modified PSO (Particle Swarm Optimization) algorithm is added after the initial position of an unknown node being derived using Lateration algorithm. Simulation shows that compared with the original method and other representative improved algorithms, our method can obtain higher distance estimation accuracy, improve the robustness to range error, and effectively improve enhance the average localization accuracy of the unknown nodes in the network.
Recommended Citation
Shi, Qinqin; Qiang, Xu; and Zhang, Jianping
(2019)
"Improved DV-Hop Localization Scheme Based on the Best Path Matching Strategy,"
Journal of System Simulation: Vol. 31:
Iss.
2, Article 18.
DOI: 10.16182/j.issn1004731x.joss.17-0099
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss2/18
First Page
316
Revised Date
2017-06-01
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.17-0099
Last Page
324
CLC
TP393
Recommended Citation
Shi Qinqin, Xu Qiang, Zhang Jianping. Improved DV-Hop Localization Scheme Based on the Best Path Matching Strategy[J]. Journal of System Simulation, 2019, 31(2): 316-324.
DOI
10.16182/j.issn1004731x.joss.17-0099
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