Research On Coverage Control In Wireless Sensor Network

A cluster of sensor nodes can self-organize themselves to form a network, which is calledWireless Sensor Network (WSN). The goal of the WSN is to collect and monitor environmentaldata, which get extensive applications in multiple realms, including industry, mobile robots,disaster recovery, military operation area, etc. As one of the key technologies in WSN, coveragecontrol technology plays a key role on the performance of network monitoring. Moreover, theefficient usage of node’s energy is very important, especially for sensing monitoring, intactinformation obtaining and redundancy reducing. Since node energy is limited, new applicationrequirements emerge, there are great challenges to coverage control technique for WSN.According to the requirements of coverage control technology, we discussed the deficienciesof current work, such as coverage rate, energy consumption, and network load balancing. Theorganization of this paper is as follows:1. Introduction to the background, basic concepts and current development of WSN. Currentcoverage control algorithms in WSN are studied and analyzed. Starting from node perceptualmodel, mainstream coverage perceptual models and results are also analyzed.2. Taking into consideration the trajectory concept of moving objects, a node schedulingalgorithm based on fuzzy-track strategy is proposed. The azimuth and speed of moving objects aretaken as the basis for the calculation of object trajectory, the amount of deviation is obtainedthrough fuzzy mathematical analysis. Based on this, in combination with the PEAS nodescheduling algorithm, a new cluster-head election scheme is proposed. According to the predictedtrack of node trajectory, we modify the policy of node schedule. This algorithm shows someimprovement in terms of network monitoring, energy consumption, and detection problems.3. Considering the defects of GAF algorithm in cluster-head selection, energy consumption,(a)we refine the target areas, dynamically convert the mesh with cellular node as its center;(b) toreduce the "hot zone" phenomenon, based on the dynamic cluster and node degree strategy, we promote a new node scheduling algorithm. The algorithm not only reduces the average nodesenergy consumption, but also improves the load capacity of the network.4. Based on the characteristics of directional monitoring sensor and virtual force, a newcoverage control algorithm is presented. This algorithm is as follows:(a) according to the physicalmodel, a virtual force model is established;(b) the mass centers are driven by the virtual forces tocirculate, so as to get the mass centers distributed uniformly;(c) convert the problem of nodescheduling to a effective distribution of mass center, so as to reduce the network overlapping areaand blind zone.