Heterogeneous cognitive wireless sensor network clustering routing method

Abstract

A heterogeneous cognitive wireless sensor network clustering routing method relates to the technical field of wireless sensor networks, solves the problems of high energy consumption, short network life cycle, spectrum resource shortage and hardware condition limitation of a wireless sensor network, and comprises the following steps: randomly deploying cognitive nodes and common nodes; judging whether the residual energy of the cognitive node is greater than Emax, if so, forming a cluster head, otherwise, judging whether the residual energy of the cognitive node is less than Emin, if not, exiting, otherwise, randomly selecting a number between [0, 1], comparing the number with the cluster head selection probability, if so, exiting, and otherwise, forming the cluster head; and the non-cluster head node selecting the cluster head to enter the cluster according to the energy magnification times under the free transmission mode and the multipath transmission mode, the distance from the non-cluster head node to the base station and the distance from the non-cluster head node to the cluster head, and determining the cluster head selection probability according to the number of spare channels and the marginal degree. According to the invention, the network energy consumption is reduced, the network life cycle is prolonged, the frequency spectrum shortage is relieved, and the problem of high hardware requirement is avoided.

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...

AI Technical Summary

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

Images