The Error Propagation Analysis of the Received Signal Strength-Based Simultaneous Localization and Tracking in Wireless Sensor Networks

• Published in: IEEE transactions on information theory 2017-06, Vol.63 (6), p.3983-4007
• Main Authors: Zhou, Bingpeng, Chen, Qingchun, Xiao, Pei
• Format: Article
• Language: English
• Subjects: Algorithm design and analysis; Calibration; Computer simulation; Convergence; Cramer-Rao bounds; Density measurement; Error analysis; Error detection; Error propagation; Localization; Lower bounds; Measurement uncertainty; Mobile communication; Nodes; Ohm's Law; Propagation; random measurement accuracy; Remote sensors; Sensors; Signal strength; simultaneous localization and tracking; Target tracking; Tracking; Tracking errors; Wireless sensor networks; WSNs
• ISSN: 0018-9448; 1557-9654
• DOI: 10.1109/TIT.2017.2693180

Simultaneous localization and tracking (SLAT) in wireless sensor networks (WSNs) involves tracking the mobile target while calibrating the nearby sensor node locations. In practice, localization error propagation (EP) phenomenon will arise, due to the existence of the latest tracking error, target mobility, measurement error, and reference node location errors. In this case, the SLAT performance limits are crucial for the SLAT algorithm design and WSN deployment, and the study of localization EP principle is desirable. In this paper, we focus on the EP issues for the received signal strength-based SLAT scheme, where the measurement accuracy is assumed to be spatial-temporal-domain doubly random due to the target mobility, environment dynamics, and different surroundings at different reference nodes. First, the Cramer-Rao lower bound (CRLB) is derived to unveil both the target tracking EP and the node location calibration EP. In both cases, the EP principles turn out to be in a consistent form of the Ohm's Law in circuit theory. Second, the asymptotic CRLB analysis is then presented to reveal that both EP principles scale with the inverse of sensor node density. Meanwhile, it is shown that, the tracking and calibration accuracy only depends on the expectation of the measurement precision. Third, the convergence conditions, the convergence properties, and the balance state of the target tracking EP and the location calibration EP are examined to shed light on the EP characteristics of the SLAT scheme Finally, numerical simulations are presented to corroborate the EP analysis.