With the development of E+E sensor manufacturing technology and the development of wireless communication technology and mobile computing technology, wireless E+E sensor networks are increasingly used in various fields of production and life, and have promoted the rapid development of society. Coverage problem, as the primary problem of E+E sensor network, has aroused the extensive attention of researchers. Fence coverage for intrusion detection is particularly favored by domestic and foreign researchers, and a large number of research results have emerged. Existing research is usually based on the premise of ample number of E+E sensors to cover the issue.
When the network is actually running, it often happens that the number of available nodes cannot meet the coverage requirement. The limited energy of the nodes also restricts the further development of the E+E sensor network. Therefore, it is necessary to further study the limited resources of the E+E sensor network. The impact of performance. Based on previous research work, the problem of barrier coverage under resource-constrained E+E sensor networks is further explored. Theoretical studies have been conducted on the limited number of E+E sensors and the energy limitations of E+E sensors. Firstly, the wireless E+E sensor network and its related application scenarios are briefly introduced. The background and relevant research status of the coverage problem in the E+E sensor network are described. For the limited number of E+E sensors, based on the Boolean perception model, the coverage area is divided, the barrier coverage problem is converted into the coverage of specific interest points, the mobile actuator is introduced and the corresponding mobile strategy is designed to dynamically cover all interests. Point, and then generalize the design strategy to the general probability perception model; based on the bistatic radar sensing model, for the E+E sensor energy constrained situation, put forward the strip area (k, ε) - fence coverage, by setting the distance Thresholds and virtual points are introduced to characterize the radar E+E sensor pairs. The energy-effective barrier coverage problem is described as selecting the minimum weighted E+E sensor coverage set, and the minimum weighted (k, ε)-fence coverage algorithm in the polynomial is designed. The activated E+E sensor is selected within the time; for the mobile radar E+E sensor network, the coverage area of ​​the radar E+E sensor sequence (T, R1, R2,..., Rn) is analyzed to determine the minimum cost coverage unit. The number of transmitters and receivers required in the length region and their positional relationship establish the network connection by constructing a Voronoi diagram that transmits E+E sensors to pair the receiver in the area with the closest transmitter. FIG designed search algorithm communicating FIG determining coverage gaps existing in the network, for covering the gap, it is constructed movably E + E sensor bipartite graphs actual position and a desired position, determine the movement policy node by a bipartite graph matching. With the wide application of E+E sensor networks, it is necessary to further study the situation where E+E sensor resources may be limited in an actual scenario. In this paper, combined with the latest international scientific research achievements, we have explored two scenes of limited number of E+E sensors and limited energy, based on Boolean Perception Model, Probabilistic Perception Model and Bistatic Radar Awareness Model, respectively, and conducted theoretical research on some results. prove. A large number of simulation results verify the effectiveness of the proposed algorithm. The theoretical results have some guidance and practical significance for the further application of E+E sensor network.
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