Data Fusion Method for Wireless Sensor Networks Based on Double Fusion Node Ant Colony Optimization

Abstract

The invention provides a wireless sensor network data fusion method based on double-fusion node ant colony optimization and relates to optimization of a routing path and optimization of selecting of cluster heads of a clustering structure of a wireless sensor network. An equal probability method is used for selecting network cluster heads, non-uniform auxiliary cluster heads are selected through differences of the distance between a node and a base station, an ant colony optimization algorithm is used for conducting route optimization on the cluster heads, directly communicated with the base station, in the network, then the ant colony optimization algorithm is again used for conducting the route optimization on the cluster heads, directly communicated with the base station, in the network so that not all the cluster heads in the network can be directly communicated with the base station, and the cluster heads are communicated with the base station through an optimization path selected through the ant colony optimization algorithm. The wireless sensor network data fusion method well solves the hotspot problems of the far end and the near end which are apart from the base station in the wireless sensor network, can reduce communication energy consumption of the network and prolongs the survival time of the network.

Description

technical field [0001] The invention relates to a data fusion method in a wireless sensor network, in particular to an algorithm for selecting a fusion node and optimizing a routing path in a clustering fusion algorithm. Background technique [0002] A wireless sensor network is composed of a large number of sensor nodes densely distributed in an area, and the communication between nodes is carried out through wireless transmission. Due to the limited resources of the node itself, such as computing, storage, and especially the limited energy of the node, how to make the most of the limited energy of the wireless sensor network for work has become a research hotspot, and data fusion technology is the solution to this problem One of the key technologies. [0003] At present, the research on data fusion technology of wireless sensor network mainly focuses on two aspects, one is a security fusion algorithm to solve data confidentiality and data integrity, and the other is a rou...

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Problems solved by technology

However, the traditional ant colony algorithm used in the above algorithm can only find the optimal solution of the problem after a large number of iterative calculations of ants. The pathfinding process of a large number of ants will consume a lot of energy, so in WSN, it is only suitable for planar networks. structure, and in a hierarchical network, due to the need for periodic re-clustering, each clustering requires a new path optimization process. If a large number of iterative calculations are required for each path optimization, then the WSN Energy consumption is undoubtedly huge

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