A Novel Algorithm for Barrier Coverage Based on Hybrid Wireless Sensor Nodes

Abstract

Barrier coverage is one of the research hot spots of wireless sensor network coverage control. In order to fix the defects and deficiencies of the network, which is composed of all isomorphic nodes in the barrier coverage, Voronoi diagram is introduced to divide the entire deployment area. According to the principle of the least square method, a mixed network deployment mechanism consisting of static nodes and dynamic nodes is established with static nodes working as the reference barrier line. By monitoring whether there is a barrier covering the blind spot in the deployed area, the monitoring area can be effectively covered by determining whether dynamic nodes need limited movement to redeploy the monitored area. And puts forward mixed node barrier covered in this algorithm, algorithm Voronoi diagram was used for continuous path problem domain discretization, and from different dimensions to compare coverage performance of each algorithm, the simulation experiments show that the algorithm improves the quality of monitoring area coverage, under the same conditions as other algorithms, a mobile node distance and low energy consumption, less expected to cover requirements and goals are met.

Accuracy Assessment and Cross-Validation of LPWAN Propagation Models in Urban Scenarios

“…First, the BS locations serve as the input of the Voronoi diagram. It provides partitioning of the plane into regions containing one generating point, and each point in a given region is closer to this generating point than to any other [26]. The resulting tessellated areas for each technology are depicted in Fig.…”

Coverage Enhance in Boundary Deployed Camera Sensor Networks for Airport Surface Surveillance

“…There are many excellent studies about the coverage problem in omniangle sensor networks. For instances, Wang et al use Voronoi diagram to divide a ROI, and propose a method to determine the dynamic nodes with the limited movement for barrier covering the blind spot in the deployed area [7]. Li et al propose a tree-based method to indicate the locations, sizes and shapes of coverage holes and then provide a healing method for improving the coverage [8].…”