Application-Oriented Clustering Routing Method for Wireless Sensor Networks

Abstract

The invention discloses a wireless sensor network routing method based on semantic task decomposition. The wireless sensor network routing method based on semantic task decomposition comprises the following steps: step one, SINK transmits the received task information to all nodes in the network; step two, the nodes in the network perform semantic analysis on the received task information and the capability information of adjacent nodes, and then transmit the nodes and node information relevant to the task to adjacent nodes; step three, the nodes are clustered, and initial cluster heads are chosen; step fourth, the initial cluster heads transmit the task capability and service quality information which can be completed by the clusters to the SINK; step five, the SINK completes the task decomposition and task allocation, and each cluster optimizes the cluster head so as to establish the route. The routing method is used for reducing the transinformation by the semantic analysis of the task, and the network routing is optimized by utilizing particle swarm optimization; compared with existing wireless sensor network routing method, the wireless sensor network routing method based on semantic task decomposition has the advantages of good expandability, long network lifetime, short task time delay and the like.

Description

technical field [0001] The invention belongs to the field of communication technology, in particular to a wireless sensor network routing method based on semantic task decomposition, which solves the problem of limited energy of the wireless sensor network and is suitable for application-oriented wireless sensor networks. This method reduces the amount of information transmission through the semantic analysis of tasks, and uses particle swarm optimization to optimize network routing. Compared with existing wireless sensor network routing methods, it can reduce network energy consumption while completing tasks, and can be used to improve wireless sensor networks. Network scalability and prolonging the network's lifetime. Background technique [0002] Wireless sensor network is a new technology emerging at home and abroad in recent years, and it has become a very important research topic in the fields of electronics, communication, and computer because of its wide application ...

AI Technical Summary

Problems solved by technology

These "hot spots" consume energy relatively quickly, and if the "hot spots" are left to work continuously, these nodes will fail prematurely

In this way, although the overall residual energy level of the network is still high, it may cause the remaining part of the network to fail to continue to work, so it is necessary to dynamically adjust the routing of the network

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