IDSA: Intelligent Distributed Sensor Activation Algorithm For Target Tracking With Wireless Sensor Network

TL;DR

This paper introduces IDSA, an energy-efficient distributed sensor activation algorithm for target tracking in wireless sensor networks, utilizing location prediction to minimize sensor activation and conserve energy.

Contribution

The paper presents a novel sensor activation protocol that predicts target location using computational intelligence, reducing energy use compared to existing methods.

Findings

Outperforms Naive and DSA methods in energy efficiency

Activates fewer sensors for target tracking

Reduces overall energy consumption in WSNs

Abstract

One important application of the Wireless Sensor Network(WSN) is target tracking, the aim of this application is converging to an event or object in an area. In this paper, we propose an energy-efficient distributed sensor activation protocol based on predicted location technique, called Intelligent Distributed Sensor Activation Algorithm (IDSA). The proposed algorithm predicts the location of target in the next time interval, by analyzing current location and movement history of the target, this prediction is done by computational intelligence. The fewest essential number of sensor nodes within the predicted location will be activated to cover the target. The results show that the proposed method outperforms the existing methods such as Na\"ive and DSA in terms of energy consumption and the number of nodes that was involved in tracking the target.