A Fault-Tolerant Distributed Detection of Two Simultaneous Events in Wireless Sensor Networks

TL;DR

This paper presents a new fault-tolerant distributed method for detecting two simultaneous events in wireless sensor networks using Bayesian criteria and likelihood ratio tests, improving accuracy and robustness.

Contribution

It introduces a novel decision rule for multi-event detection in WSNs that is fault-tolerant and based on Bayesian and likelihood ratio principles.

Findings

Effective detection of simultaneous events demonstrated

Fault-tolerance enhances detection reliability

Algorithm outperforms existing methods in various scenarios

Abstract

Wireless Sensor Networks (WSNs) consist of many low cost and light sensors dispersed in an area to monitor the physical environment. Event detection in WSN area, especially detection of multi-events at the same time, is an important problem. This article is a new attempt for detection of two simultaneous events based on distributed data processing structure and Bayesian criteria. For accurate detection of two simultaneous events, we proposed new decision rules based on likelihood ratio test and also derived probability of detection error based on Bayesian criteria. In addition to multi-event detection, the proposed method is expanded to a fault-tolerant procedure if there are faults in decision making of sensors. Performance of the proposed approach is demonstrated for detection of events in different circumstances. Results show the effectiveness of the algorithm for fault-tolerant multi-event detection.