Author(s)

Zhu Guanliang, Chen Huamei

Corresponding Author

Zhu Guanliang

Abstract

Sensor nodes are randomly distributed in the monitoring area. Because of their self-organization, they can form a system network without any infrastructure and are responsible for collecting the parameter information of the target area in real time. The advantage of plane routing is simple and easy to expand, but it lacks the optimal management of communication resources and has a slow response to the dynamic changes of the network. In this paper, WSN (Wireless Sensor Networks) regional layout and routing protocol optimization are studied. An optimization method of WSN node layout based on adaptive GA(genetic algorithm) and an optimization algorithm of multipath QoS guaranteed WSN routing protocol based on optimized ant colony are proposed. Adaptive GA is used to solve the optimization problem of WSN coverage in order to achieve the maximum network coverage. The routing protocol optimization algorithm selects several optimal paths from the source node to the base station through the pre-calculation of the base station, and then sends ants from the source node through these paths for routing detection, and the source node transmits normal data to the base station in a multi-path manner according to relevant information. The research results show that the network coverage of adaptive GA reaches 96.003%. Multi-path QoS guaranteed WSN routing protocol based on optimized ant colony controls the energy consumption at a low level, and sacrifices less energy in exchange for the improvement of the overall communication quality.

Keywords

WSN; Regional layout; Routing protocol optimization