Coverage based irregular sensing model in wireless sensor networks

Coverage is a fundamental problem of WSN, which reflects the performance of sensing in wireless sensor network. The high density network is made up of low-power tiny sensors. At the guarantee of area coverage, how to prolong the lifetime of network is a problem needs solving. And the method of choosing part of sensors to perform the sense task is adopted for full area coverage to achieve the object, and the other sensors are set into the sleepy state. For the irregular sensing model, the method of choosing neighbor sensors for enlarge the area of coverage is proposed in this paper. And the space resource of wireless sensor network is utilized optimally. Then the sensing, data obtaining and processing tasks are performed. At the end the simulation is performed and the overview of development is discussed.