Clustering Routing Method for Heterogeneous Cognitive Wireless Sensor Networks

Abstract

The clustering routing method for heterogeneous cognitive wireless sensor networks relates to the technical field of wireless sensor networks, and solves the problems of high energy consumption, short network life cycle, shortage of spectrum resources and hardware constraints in wireless sensor networks, including random deployment of cognitive nodes and ordinary nodes; judge whether the remaining energy of cognitive nodes is greater than E max , if it is greater than E min , if it is less than , exit, otherwise, randomly select a number between [0, 1], compare the number with the probability of being elected as a cluster head, if it is less than, exit, otherwise, it becomes a cluster head; non-cluster head nodes according to the free transmission mode and the energy amplification factor in the multipath transmission mode, its distance to the base station and its distance to the cluster head to select the cluster head to join the cluster, and the probability of the cluster head being selected is determined according to the number of vacant channels and the edge degree. The invention reduces the energy consumption of the network, prolongs the life cycle of the network, relieves the spectrum shortage and avoids the problem of high hardware demand.

Description

technical field [0001] The invention relates to the technical field of wireless sensor networks, in particular to a clustering routing method for heterogeneous cognitive wireless sensor networks. Background technique [0002] Wireless sensor network (WSN) is an ad hoc network system composed of many small, cheap, low-energy miniature multifunctional sensor nodes randomly deployed in an area. The nodes are usually powered by batteries, and the nodes in the network cooperate with each other. Perceive and collect information, and then send it to users after integration and processing. So far, scholars at home and abroad have designed many wireless sensor network algorithms for different application environments. Among them, the clustering routing algorithm has become an important research topic due to its advantages in energy efficiency and network scalability. [0003] In the wireless sensor network routing algorithm designed, the most important factor to consider is Spectru...

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Problems solved by technology

[0006] In order to solve the problems of high energy consumption of wireless sensor networks, short network life cycle, shortage of spectrum resources and limited hardware conditions, the present invention provides a clustering routing method for heterogeneous cognitive wireless sensor networks

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