Wireless sensor network clustering method based on Sink trust value evaluation

Abstract

The invention discloses a wireless sensor network clustering method based on Sink trust value evaluation. The problem that a wireless sensor network in the prior art is insufficient in safety control and energy consumption balance refining and high in network node resource requirement is mainly solved. The wireless sensor network clustering method comprises the steps that 1 node statistic and interaction situation of neighbor nodes are obtained; 2 Sink nodes evaluate trust values of all nodes according to the interaction situation sent by the modes; 3 the Sink nodes select new clustering heads according to the trust value evaluation; 4 the residual non-cluster-head nodes select clusters according to communication expenditure. The wireless sensor network clustering method comprehensively considers clustering network safety and simple demand, improves the overall energy balance of a network, prolongs the life cycle of the network, improves the safety of the network and reduces network node cost.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a clustering method of a wireless sensor network, which can be used to improve the security of the wireless sensor network with sink nodes. Background technique [0002] As an indispensable part of the Internet of Things, wireless sensor nodes form a wireless sensor network with the characteristics of rapid deployment, strong invulnerability, and no need for human supervision. These nodes often need to be deployed in harsh environments, and the security of nodes is easy. Threats, such as node destruction, information theft, ID masquerade, information modification, etc., can easily have a serious impact on wireless sensor networks. Therefore, the routing design of wireless sensor network must consider the security of the network. In addition, since the resources that sensor nodes can carry are limited, energy saving and protocol simplicity must be another important go...

AI Technical Summary

Problems solved by technology

[0017] 1) The control of the overall energy consumption level of the network is not refined enough, resulting in the inability to select the optimal cluster head node in the divided grid

[0018] 2) There is no control over the uniform distribution of cluster heads and the security of the network, resulting in a decrease in the quality

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