Detecting Coverage Holes in Wireless Sensor Networks Using Connected Component Labeling and Force-Directed Algorithms

TL;DR

This paper introduces FD-CCL, a coordinate-free method combining Connected Component Labeling and Force-Directed algorithms to accurately and efficiently detect coverage holes in Wireless Sensor Networks without relying on physical node information.

Contribution

The paper presents a novel FD-CCL method that improves coverage hole detection accuracy and speed without needing node coordinates or sensing ranges.

Findings

FD-CCL outperforms traditional methods in detection accuracy.

FD-CCL reduces processing time compared to existing techniques.

Simulation confirms FD-CCL's effectiveness in real WSN scenarios.

Abstract

Contour detection in Wireless Sensor Networks (WSNs) is crucial for tasks like energy saving and network optimization, especially in security and surveillance applications. Coverage holes, where data transmission is not achievable, are a significant issue caused by factors such as energy depletion and physical damage. Traditional methods for detecting these holes often suffer from inaccuracy, low processing speed, and high energy consumption, relying heavily on physical information like node coordinates and sensing range. To address these challenges, we propose a novel, coordinate-free coverage hole detection method using Connected Component Labeling (CCL) and Force-Directed (FD) algorithms, termed FD-CCL. This method does not require node coordinates or sensing range information. We also investigate Suzuki's Contour Tracing (CT) algorithm and compare its performance with CCL on various FD graphs. Our experiments demonstrate the effectiveness of FD-CCL in terms of processing time and accuracy. Simulation results confirm the superiority of FD-CCL in detecting and locating coverage holes in WSNs.