Efficient inhomogeneous clustering routing method of wireless sensor network

Abstract

The embodiment of the invention provides an efficient inhomogeneous clustering routing method of a wireless sensor network, which is suitable for a large-scale wireless sensor network with a layered structure. Sensor nodes form candidate cluster head nodes in a certain proportion, the candidate cluster head nodes acquire local information and estimate local information by applying a fuzzy logic method to form probability of the final cluster head node and the radius of the cluster corresponding to the final cluster head node, and an optimal cluster head is selected through local competence for carrying out construction of inhomogeneous clusters. A multi-hop mode is adopted in inter-cluster data transmission, multi-hop data transmission characteristics are considered, and the efficient inter-cluster route is established in the cluster head nodes by adopting an adaptive maximum-minimum ant colony optimization strategy. According to the routing method, energy utilization efficiency of the nodes can be increased, energy consumption of the nodes is balanced, and life cycle of the network is prolonged.

Description

technical field [0001] The invention relates to the field of wireless sensor networks, and in particular combines fuzzy logic and self-adaptive maximum-minimum ant colony optimization strategy and refers to non-uniform clustering and inter-cluster multi-hop communication of wireless sensor networks. Background technique [0002] Wireless sensor network (wireless sensor network, WSN) is composed of a large number of cheap micro sensor nodes deployed in the monitoring area, a multi-hop self-organizing network system composed of wireless communication, the purpose of which is to cooperatively sense, collect and Process the information of the perceived objects in the network coverage area and send it to the observer. Wireless sensor network (WSN) has the characteristics of large-scale dense deployment, limited node resources, small wireless bandwidth, and dynamic topology changes. It can be widely used in education, military, medical, transportation and other fields. At present,...

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Problems solved by technology

[0007] The purpose of the present invention is to address the deficiencies of the prior art, in order to solve the problem of unbalanced energy consumption in the wireless sensor network, use the fuzzy logic system for the selection of the optimal cluster head and the estimation of the cluster size, and finally form clusters of different sizes, And use the adaptive maximum-minimum ant colony optimization strategy to construct inter-cluster routing, improve the utilization rate of energy in the network, balance the energy consumption of nodes, and extend the life cycle of the network

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