A Novel Approach For Performance Enhancement By Detection Of Coverage Hole

Abstract

This paper proposes a novel method for detecting coverage holes in wireless sensor networks (WSNs). Coverage holes can occur when there is a lack of sensor nodes in an area, leading to gaps in coverage and a reduction in the network's overall performance. The proposed method utilizes a combination of distance estimation and clustering algorithms to identify areas with insufficient coverage. The distance estimation algorithm calculates the distance between adjacent nodes based on received signal strength (RSS), while the clustering algorithm groups nodes based on their proximity. The method then identifies clusters with a low density of nodes as potential coverage holes. To verify the existence of a coverage hole, the method uses a neighbor discovery algorithm to check if there are neighboring nodes in the identified area. The proposed method was evaluated through simulations using a WSN deployment with 100 nodes randomly distributed in a 100x100 meter area. The results showed that the method can accurately detect coverage holes with a high detection rate and low false positive rate. Overall, the proposed method offers a promising solution for detecting coverage holes in WSNs, which can improve the network's overall performance and reliability.