A Voronoi Diagram-based Approach for Analyzing Area Coverage of Various Node Deployment Schemes in Wsns

With recent advances in electronics and wireless communication technologies, the Wireless Sensor Networks (WSNs) are being used in wide range of applications of military, ecological, health related areas. Due to their resource constraints such as, sensor node’s size, memory, and processing capabilities, the scale of deployment of WSNs requires careful decisions with respect to various performance measures. In the last few years, there has been a tremendous interest on development of large-scale wireless sensor networks as a basic issue to be addressed as it can influence the performance metrics of WSNs such as, coverage, connectivity, resilience and scalability requirements. Many deployment schemes have been proposed for wireless sensor networks. In this paper, we survey six deployment models random, rectangular-grid, square-grid, triangular-grid, hexagonal-grid, and hybrid deployments schemes and analyze their implications on network area coverage in WSNs. More generally, under some deployment assumptions on an irregular geographical map for a defense monitoring, we show the analytical and simulation-based results of a WSN made up of mica2 motes using the deployment knowledge to motivate the use of these emerging paradigms in order to achieve higher network area coverage. To apply deployment schemes on irregular geographical target area, we propose to include the concept of voronoi diagram based approach in WSNs, to provide a way of dividing an irregular geographical area into a number of regular regions. We have been configured the sensor node parameters such as sensing, temperature, energy capabilities using mannasim based on NS-2.34.