Journal of System Simulation
Abstract
Abstract: Location awareness is very important in mobile sensor networks. The existing methods mainly focus on the improvement based on the MCL (Monte Carlo Localization), few of them study the anchor path planning. However, anchors random movement usually causes the waste of energy and resource. Aiming at this deficiency, this paper adopts the grid benefit criterion and achieves anchors adaptive movement. Threshold instead of traversal method is used to reduce the amount of calculation and positioning time. In order to solve the anchors aggregation problem during adaptive movement, we divide the target area into four subareas and constrain part of the anchors moving in the subarea. By this method we improve the amount of localized unknown nodes obviously.
Recommended Citation
Fei, Zhou and Liu, Wennan
(2019)
"Anchor Adaptive Movement Algorithm for Mobile Nodes Localization,"
Journal of System Simulation: Vol. 30:
Iss.
5, Article 34.
DOI: 10.16182/j.issn1004731x.joss.201805034
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss5/34
First Page
1885
Revised Date
2016-08-24
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201805034
Last Page
1892
CLC
TP212.9
Recommended Citation
Zhou Fei, Liu Wennan. Anchor Adaptive Movement Algorithm for Mobile Nodes Localization[J]. Journal of System Simulation, 2018, 30(5): 1885-1892.
DOI
10.16182/j.issn1004731x.joss.201805034
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