Abstract
3D coverage is not only closer to the actual application environment, but also a research hotspot of sensor networks in recent years. For this reason, a node optimization coverage method under link model in passive monitoring system of three-dimensional wireless sensor network is proposed in this article. According to wireless link-aware area, the link coverage model in three-dimensional wireless sensor network is constructed, and the cube-based network coverage is used to represent the quality of service of the network. This model takes advantage of the principle that the presence of human beings can change the transmission channel of the link. On this basis, the intruder is detected by the data packets transmitted between the wireless links, and then the coverage area is monitored by monitoring the received signal strength of the wireless signal. Based on this new link awareness model, the problem of optimal coverage deployment of the receiving node is solved, that is, how to deploy the receiving node to achieve the optimal coverage of the monitoring area when the location of the sending node is given. In the process of optimal coverage, the traditional genetic algorithm and particle swarm optimization algorithm are introduced and improved. Based on the genetic algorithm, the particle swarm optimization algorithm which integrates the idea of simulated annealing is regarded as an important operator of the genetic algorithm, which can converge to the optimal solution quickly. The simulation results show that the proposed method can improve the network coverage, converge quickly, and reduce the network energy consumption. In addition, we set up a real experimental environment for coverage verification, and the experimental results verify the feasibility of the proposed method.
Highlights
Wireless sensor network (WSN) is a self-organizing network composed of a large number of microsensor nodes deployed in the monitoring area
The principle is that the existence of human beings will change the transmission channel of the link; monitoring the received signal strength indication (RSSI) of the wireless signal can sense whether people appear around the link
Set up a real experimental environment for coverage verification, by comparing the RSSI fluctuation range and standard deviation to monitor the coverage area, the experimental results verify the feasibility of the method
Summary
Wireless sensor network (WSN) is a self-organizing network composed of a large number of microsensor nodes deployed in the monitoring area. The research in the field of passive location provides a new perceptual coverage model for the research of coverage control in sensor networks.[2,3,4] Passive location system can detect and locate the existence of people around us through the wireless signal propagation of multiple wireless links. The main contributions of this article are as follows: We construct the link coverage model in threedimensional wireless sensor network (3D-WSN), extend the traditional plane coverage to spatial coverage, and extend the traditional disk awareness model to a more practical link model Based on this new link awareness model, we combine and improve the traditional genetic algorithm (GA) and particle swarm optimization (PSO) algorithm to explore the optimal coverage problem of receiving nodes. We present the method design and the design details of the GA/self-adaptive particle swarm optimization (SAPSO) in section ‘‘GA/SAPSO algorithm design.’’ Experimental setups, evaluations, comparisons, results, and discussions are reported in section ‘‘Experimental results and discussion.’’ we conclude the work in section ‘‘Conclusion.’’
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
