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

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 whic...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2018, Vol.6, p.54097-54105
Main Authors: Chang, Shengming, Li, Youming, Wang, Hui, Hu, Wenfei, Wu, Yongqing
Format: Article
Language:English
Subjects:
Algorithms
cooperative localization
Hybrid power systems
Localization
Loss measurement
Maximum likelihood estimation
Programming
received signal strength (RSS)
second-order cone programming (SOCP)
Signal strength
Symmetric matrices
weighted least squares (WLS)
Wireless sensor networks
Wireless sensor networks (WSNs)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2871600