Radio sensor network data convergence path planning method based on the intelligent agent

Abstract

The intelligent agent based wireless sensor network data aggregation path optimization method comprises: in wireless sensor network environment, generating the primary agent initial route, and allocating executive agent; deciding the route by executive agent; reporting to system; collecting and updating system information by the primary agent; re-calculating an optimized route; collecting data and state message by the executive agent. This invention belongs to instructive strategy, saves energy consumption on the aggregation node, and improves network performance.

Description

technical field [0001] The invention is a technical scheme for realizing the optimization of the data aggregation path in the network by adopting the cooperative information processing technology of the intelligent agent in the wireless sensor network environment. The technology belongs to the application field of network information distributed computing. Background technique [0002] The rapid development and maturity of low-power radio communication technology, embedded computing technology, micro sensor technology and integrated circuit technology have made a large number of low-cost micro sensors self-organized into wireless sensor networks through wireless links. Wireless sensor networks have the characteristics of self-organization, self-adaptability and high fault tolerance, and have very broad application prospects in many important fields such as military affairs, industry and agriculture, biomedicine, and environmental monitoring. Due to the large number of senso...

AI Technical Summary

Problems solved by technology

Due to the large number of sensor nodes and random distribution, the data obtained by adjacent sensors monitoring the same event has similarity, and the sensor nodes have limited energy,

Images