Classification of Nature-Inspired Methodologies for the Coverage hole challenge in wireless sensor networks: A Review
Todays modern technical study is heavily influenced by nature-inspired metaheuristic optimization models, which are effective of producing superior outcomes than traditional approaches. Due to their wide range of functions, wireless sensor networks (WSNs) have grown in popularity. The coverage problem is a critical problem in the deployment of sensing devices, as it may reduce the network lifetime. As a result, a complete assessment of methodologies based on metaheuristic is being discussed here in order to optimize the lifetime of sensor network. This review paper here provides the thorough study of persisting nature inspired routing algorithms. It considers the metaheuristic as the root and the parameters such as energy consumption, network lifespan as the core objective. In sensor networks, maintaining coverage of the target area is essential in order to do any task. Unfortunately, owing to energy restrictions, a few sensor nodes fail during network operation, potentially breaking coverage of the targeted region. This is termed to be coverage hole or coverage gap issue. Thus, the paper shows survey of publications to address the coverage problem produced.