Wireless Sensor Network Data Collection Strategy Based on Mobile Sink

Wireless sensor network (WSN) is a network with limited energy. The traditional WSN data collection strategy is based on static base stations. Other nodes near the Sink node bear a large load in data transmission, and their energy consumption is faster, which is more likely to cause energy holes. This paper introduces the WSN network model with mobile Sink and the energy consumption model, and explains the RP(Residency Point) selection strategy based on the energy centroid. A path planning algorithm with low delay is proposed. The experimental simulation shows that the RP selection algorithm based on K-Means energy centroid can obtain the ideal CH(Cluster Head) distribution, and the number of clusters can adapt to the dynamic changes of the network, and can well balance the energy consumption of the network. The mobile Sink data transmission strategy based on low latency optimization optimizes the path of the mobile Sink to reduce network delay.