Data Suppression Algorithms for Surveillance Applications of Wireless Sensor and Actor Networks

TL;DR

This paper presents data suppression algorithms for wireless sensor and actor networks that significantly reduce communication costs while maintaining effective target elimination in surveillance tasks.

Contribution

It introduces novel spatiotemporal and decision-aware suppression algorithms that improve communication efficiency in WSANs for surveillance applications.

Findings

Significant reduction in communication costs achieved.

Improved system performance with suppression algorithms.

Effective target capture in shortest possible time.

Abstract

This paper introduces algorithms for surveillance applications of wireless sensor and actor networks (WSANs) that reduce communication cost by suppressing unnecessary data transfers. The objective of the considered WSAN system is to capture and eliminate distributed targets in the shortest possible time. Computational experiments were performed to evaluate effectiveness of the proposed algorithms. The experimental results show that a considerable reduction of the communication costs together with a performance improvement of the WSAN system can be obtained by using the communication algorithms that are based on spatiotemporal and decision aware suppression methods.