Connectivity Based DV-Hop Localization for Internet of Things

被引:43
作者
Gui, Linqing [1 ,2 ]
Xiao, Fu [1 ,3 ]
Zhou, Yang [4 ]
Shu, Feng [4 ]
Val, Thierry [5 ]
机构
[1] Nanjing Univ Posts & Telecommun, Coll Comp, Nanjing 210049, Peoples R China
[2] Nanjing Univ Sci & Technol, Nanjing 210049, Peoples R China
[3] Nanjing Univ Posts & Telecommun, Jiangsu High Technol Res Key Lab Wireless Sensor, Nanjing 210049, Peoples R China
[4] Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing 210049, Peoples R China
[5] Univ Toulouse, CNRS IRIT, F-31703 Toulouse, France
基金
中国国家自然科学基金;
关键词
Optimization; Internet of Things; Linear programming; Computational complexity; Simulation; Spread spectrum communication; DV-Hop; localization; range-free; ALGORITHM; OPTIMIZATION;
D O I
10.1109/TVT.2020.2998093
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Due to the cost-effective advantage, range-free localization schemes are attractive for low-cost Internet of Things applications. As a distinguishing range-free scheme, DV-Hop localization can localize those unknown nodes which have less than 3 or even no neighbor anchors. However, the localization results by existing DV-Hop based algorithm are found to be inconsistent with the real connectivity between nodes. The inconsistency inspires us to propose two algorithms to improve localization accuracy. First a Centralized Connectivity-based DV-Hop (CCDV-Hop) algorithm is proposed to optimize the accuracy of DV-Hop localization. Establishing an optimization problem which takes the real connectivity between any two nodes as the constraints, the proposed algorithm can make the localization results conform to the real connectivity. Then an algorithm with lower complexity is proposed, namely Distributed Connectivity-based DV-Hop (DCDV-Hop) algorithm, which can obtain near-optimal localization performance in distributed networks. Without including the connectivity of all nodes, the constraints in the proposed DCDV-Hop algorithm only consider the real connectivity within two hops. Simulation results show that despite higher complexity, the proposed algorithms can achieve much better accuracy than other DV-Hop based methods.
引用
收藏
页码:8949 / 8958
页数:10
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