Deployment Strategies for Mobile Wireless Sensor Networks (MWSNs)
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Abstract
Wireless Sensor Networks (WSNs) generally are deployed in hostile and remote areas randomly. The major challenge in such ill-disposed areas is to find a tradeoff between desired and contrary requirements for the lifetime, coverage and cost with limited available resources. For utilizing the resources effectively, in recent years the mobile sensor nodes are deployed. Mobile nodes are able to relocate themselves on optimized locations within the region of interest. But in such distributed environment, coordinating the movement of nodes and relocating them on optimized locations by utilizing minimum energy is challenging. In recent years, many techniques have been proposed and evaluated. In this paper, we manly classify the existing approaches in four categories on the basis of mathematical approaches used to solve the deployment problem like Genetic Algorithms (GAs), Computational Geometry, Artificial Potential Field (APF), and Particle Swarm Optimization (PSO). We also explain some models and metrics for evaluating the performance of deployed networks and give an extensive comparison based on such performance matrices.
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