Joint Optimization of Anchor Deployment and Power Allocation in Wireless Network Localization

被引：6
|
作者：
Ma, Zhaohui [1 ]
Liu, Fan [2 ]
Qiao, Haidong [1 ]
Liu, Songzhuo [1 ]
Lv, Xin [1 ]
机构：
[1] Beijing Inst Technol, Beijing Key Lab Millimeter Wave & Terahertz Tech, Sch Informat & Elect, Beijing 100081, Peoples R China
[2] UCL, Dept Elect & Elect Engn, London WC1E 7JE, England
来源：
IEEE COMMUNICATIONS LETTERS | 2020年 / 24卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Resource management; Optimization; Measurement; Wireless networks; Programming; Particle swarm optimization; Numerical simulation; Indoor positioning; anchor deployment; power allocation; squared position error bound (SPEB); second-order cone programming (SOCP); binary particle swarm optimization (BPSO);
D O I：
10.1109/LCOMM.2020.2973092
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this letter, we propose an optimization based method for joint anchor deployment and power allocation for achieving high-accuracy localization in the wireless network, where we aim at minimizing the localization error bound under a given sensor number and a fixed power budget. By exploiting squared position error bound as the localization metric, the problem is formulated into a mixed boolean second order cone programming, and is then solved by binary particle swarm optimization. Finally, the proposed algorithm is validated by numerical simulations.
引用
收藏
页码：1086 / 1089
页数：4
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