RSS-Based Cooperative Localization in Wireless Sensor Networks via Second-Order Cone Relaxation

IEEE Access

Yongqing Wu¹  Hui Wang²  Wenfei Hu²  Youming Li²  Shengming Chang² 

[1] Chinese Academy of Science, Institute of Acoustics, Beijing, China;Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China;

关键词: Wireless sensor networks (WSNs);    cooperative localization;    received signal strength (RSS);    second-order cone programming (SOCP);    weighted least squares (WLS);   

DOI  :  10.1109/ACCESS.2018.2871600

来源: DOAJ

【 摘 要 】

In this paper, we consider the received signal strength-based cooperative localization problem in both known and unknown transmit power of target nodes. For the case of known transmit power, we treat the transmit power as a constant and derive a novel non-convex weighted least squares estimator which can be transformed into a second-order cone programming (SOCP) problem for reaching an efficient solution. For the case of unknown transmit power, we treat the transmit power as an additional unknown parameter and propose a hybrid maximum likelihood-SOCP algorithm to alternatively estimate the target node locations and transmit power. Simulation results confirm the effectiveness of the proposed methods in all considered settings.

【 授权许可】

Unknown