Sequential pre-filter assisted cooperative scheme for localization in wireless sensor networks

Wei Wei; Liu Zhang

doi:10.1117/12.2689521

10 August 2023 Sequential pre-filter assisted cooperative scheme for localization in wireless sensor networks

Wei Wei, Liu Zhang

Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127480U (2023) https://doi.org/10.1117/12.2689521
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China

Abstract

In the applications of wireless sensor networks (WSNs), it is important to locate an object of interest. However, the intensive measurement noise that contaminates the observations from each sensor node, may impair the localization performance. The widely studied adaptive and cooperative schemes combat the noise via reliable cooperation and adaption strategies with the neighborhoods. However, they underestimate the smooth correlations of the object’s movements, thereby remaining space for improvement. In this paper, we focus on improving the existing cooperative schemes by prefiltering its contaminated observations on each node. By exploiting the smooth correlations of the object’s mobility, we design a sequential pre-filter, which is capable of using the previously estimated information as a priori to overcome the intensive noise. As such, it helps to derive a less-noisy observation on each node, and therefore improves the localization accuracy of the cooperative schemes. Numerical simulations demonstrate the effect of the proposed sequential pre-filter, which can indeed better the cooperative schemes and gain a more promising localization performance.

Citation Download Citation

Wei Wei and Liu Zhang "Sequential pre-filter assisted cooperative scheme for localization in wireless sensor networks", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127480U (10 August 2023); https://doi.org/10.1117/12.2689521

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KEYWORDS

Sensor networks

Particles

Contamination

Received signal strength

Numerical simulations

Sensors

Design and modelling

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