Study on network dormancy mechanism based on low duty cycle

Abstract

Wireless sensor network (WSN) is a wireless communication self-organizing network composed of multiple sensor nodes, which can be used to obtain the information of the monitored objects in the target area. However, due to the characteristics of the nodes that make up the wireless sensor network, the network has the characteristics of large scale, low energy consumption, limited computing and storage capacity. These characteristics play a decisive role in the application of wireless sensors. In this paper, a weight algorithm based on the adaptive sleep mechanism in wireless sensor networks is proposed to improve the network performance. The algorithm mainly aims at the adjustment of the weight, and then to evaluate the importance of the data. By applying the weight algorithm, the original algorithm based on the sleep scheduling mechanism is improved. The performance of the whole network is significantly improved compared with the network optimized by LEACH algorithm and GAF algorithm. The important data can be transmitted to the sink node as soon as possible, which effectively improves the link quality. The energy consumption of the nodes in the network is balanced through the adaptive sleep scheduling algorithm without location information, which improves the network performance and prolongs the network lifetime as much as possible. The simulation results show that the proposed network can perform better than the fully connected network in most cases. In the application and promotion of wireless sensors, there are more in-depth research and wider applications.