Covering Algorithm Based On Energy-Balance In Wireless Sensor Networks

Wireless sensor networks is the first of the three supporting technology of Things ofInternet, which is considered one of important technical methods to change the future in thenew century，and also it is a series of new technologies that have integrated the emergingdisciplines with traditional disciplines in the field of information science. Currently,wireless sensor networks has showed its development prospects in various fields, receivedextensive attention from academia, the business community, as well as the Governments,and has become one of the most important technical means that contained scientific valueand practical value in the field of military defense, environmental monitoring, agriculturaland industrial control and management, modern bio-medical, smart home, and many otherareas.The coverage problem is the primary issue in the configuration of the wireless sensornetwork and also a crucial issue in the study. Coverage algorithm and model in wirelesssensor networks research has a very important significance and role in the development andapplication. The algorithm will directly affects the communicating performance andlifetime of the network. At present, most of the wireless sensor networks take large-scalerandom deployment, which prone to overlapping coverage in dense nodes, resulting in alarge number of redundant nodes, causing the node and the waste of network resources,increasing network costs. Howere, it likely to cause monitoring loopholes, collecting lessthan the information needed in the node sparse.Therefore, taking a high-performance, adaptive, low-complexity node coveragecontrol algorithm to achieve the accurate deployment of sensor nodes is crucial. This willnot only extend the lifetime of the sensor network, reduce the cost of the network, but alsoimprove the performance of the sensor network and make the sensor network widely usedto further possible. So, the coverage technology of the wireless sensor network has a veryimportant research value.This article has a detailed overview about the basic concepts, architecture, features,applications, and the challenges of wireless sensor networks. The wireless sensor networkdifferent architectures are contrasted and the author compare the characteristics of wirelesssensor networks and wireless multimedia sensor networks. A systematic introduction to theconcept and role of wireless sensor networks is represented and the classification of theexisting coverage control and deployment is compared. Because making use of sensornetworks perceptual model to characterize the sensing range of the node, perceptual model directly determine their perception of the scope and quality of service, so we analysiscommon three perceptual models.In this paper, a virtual force coverage enhancement optimization algorithm based onnode residual energy is proposal. Through the virtual force between the nodes in thenetwork and between the node and the target region mobiling node positions,the nodes canbe distributed reasonable and uniform at last. Thereby we can improve the performance ofthe network coverage and with a minimum of sensor nodes to maximize the coverage area,reduce the blind spot monitoring wireless sensor networks, reduce the cost of the network.Meanwhile, put forward the idea of the combined sensor nodes, merge multiple multimediasensor nodes, make their perception of the scope to meet basic0-1model to simplify theproblem, so that the proposed algorithm can be applied to the same wireless multimediasensor networks. Finally, this article analysis the feasibility and efficiency of the algorithmthrough the multi-angle comparison experimental data.