Sensor webs consisting of nodes with limited battery power and wireless communication are deployed to collect useful information from a variety of environments. One fundamental issue in sensor networks is the coverage...
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Sensor webs consisting of nodes with limited battery power and wireless communication are deployed to collect useful information from a variety of environments. One fundamental issue in sensor networks is the coverage problem, which reflects how well a sensor network is monitored or tracked by sensors. In this paper, a new 3-dimensional model is proposed to adapt to the practicality, which distinguishes it from other general existing models. Not only the issue of sensor characteristic, terrain and preferential coverage of grid points are modeled but also the perceive limit is taken into account in this 3-dimensional model and the feasibility is tested by simulations. Specially, we assume there are three types of obstacles in the 3-dimensional sensor field, Non-grid obstacles (NGO), Grid obstacles with sufficient height (GOS), and Grid obstacles with insufficient height (GOI). And here, we propose an algorithm for the efficient coverage in a 3-dimensional sensor field. After finding the grid point which is covered least effectively, we find out not one but a number of nodes, which are eager to be improved. So these weaker nodes will be meliorated via algorithm INTEGER_LOCAL_COV, which has been compared with the primary algorithms via simulations and been shown to exhibit excellent performance.
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