Paper Info
Title
A Grid-Based Localization Algorithm for Wireless Sensor Networks Using Connectivity and RSS Rank.
Abstract
To improve localization accuracy and reduce system costs, a new range-free localization algorithm for wireless sensor networks using connectivity and received signal strength (RSS) rank is proposed. An unknown node is first localized in an initial residence area according to the connectivity constraints. Then, the residence area is refined using the RSS rank vector. The RSS rank vector of an unknown node is formed from the ranks of the RSS values obtained from neighboring anchors. The estimated location of the unknown node is the centroid of the refined residence area. The proposed localization algorithm uses a grid scan approach to avoid the complex geometric computations. This algorithm is improved by using an adaptive strategy to determine the grid size. The performance of these methods is examined via analysis and simulation. The results obtained verify that the proposed approaches provide better localization accuracy than competing algorithms in the literature.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2804381
IEEE ACCESS
Keywords
Field
DocType
Wireless sensor networks,localization,received signal strength,connectivity
Approximation algorithm,Algorithm design,Computer science,Algorithm,Signal strength,Wireless sensor network,RSS,Grid,Centroid,Computation
Journal
Volume
ISSN
Citations 
6
2169-3536
2
PageRank 
References 
Authors
0.37
0
4
Name
Order
Citations
PageRank
Zengfeng Wang1162.34
Hao Zhang215123.73
Ting-ting Lu3274.96
T. Aaron Gulliver4864143.47