Clustered wireless sensor network cluster head election model based on evolutionary game mechanism

Abstract

The invention relates to a clustered wireless sensor network cluster head election model based on an evolutionary game trust mechanism. The cluster head election model comprises three system models, namely, a wireless sensor network model, a JDL (Joint Director of Laboratories) model, and an evolutionary game model. According to the clustered wireless sensor network cluster head election model based on an evolutionary game trust mechanism provided by the invention, an improved JDL model and an evolutionary game algorithm are adopted, the dynamic characteristic of network communication and the time-effectiveness of trust are fully considered, an optimal cluster head is elected on the premise of considering trust factors such as communication, energy and data, and moreover, the computation overhead is optimized, and the energy of nodes is saved.

Description

technical field [0001] The invention belongs to the field of wireless sensor networks and relates to mathematical modeling, in particular to a cluster head election model for cluster wireless sensor networks based on an evolutionary game mechanism. Background technique [0002] Due to the limited computing power, power supply energy and communication capabilities of sensor nodes in wireless sensor networks, as well as the characteristics of large network scale and self-organization, it is a big challenge to realize the effective use of network energy and enhance its security. Due to the vulnerability of nodes and the variability of network topology, the election of cluster heads continues. When a node with low performance and low reliability becomes the cluster head, it will affect the quality of service of the network. The reliability of the cluster head becomes the key to determine whether the network can operate normally, so designing a highly reliable cluster head electi...

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Problems solved by technology

William. Guo et al. Research on Trust Energy Balance Method for Cluster Head Selection in Wireless Sensor Networks [J]. Network, 2012, 7(10). A cluster head election model based on energy and trust balance was proposed, and based on a single consideration The energy-based cluster head election model is compared with the trust-based cluster head election model, but factors such as communication and data are not considered

Wang Weilong et al. A cluster head election algorithm for wireless sensor networks based on trust mechanism [J]. Computer Applications, 2012, 32(10): 2696-2699. Proposed a cluster head election algorithm combining energy and trust A node with a high degree of trust is elected as the cluster head, but factors such as data consistency in the presence of malicious nodes are not considered

Ma Suqiu et al. Research on Cluster Head Selection for Wireless Sensor Networks Based on Trust and Residual Energy[J]. Wireless Networks and Sensors, 2015,25:147-164. Proposed a cluster head election algorithm based on trust and residual energy, which introduced Based on the cloud evaluation model, combined with the calculation of historical energy consumption, the trust value and remaining energy are evaluated to select the cluster head node. This algorithm still has the problem of ignoring the consistency of data.

Zhou Lipeng, Kamili. Mu Yiding. A cluster head selection algorithm that takes into account security and residual energy in wireless sensor networks [J]. Computer Engineering and Applications, 2012,48(3):88-90. Proposed a trust-based Mechanism-based distributed cluster head election optimization algorithm, which takes into account two factors, the trust degree of the node and the remaining energy of the node, but there are still problems such as ignoring the communication and data of the network

Zhang Dongxu, Qin Zhi. Cluster head selection algorithm considering multiple factors in wireless sensor network[J]. Journal of Chengdu Institute of Information Engineering, 2015,4,30(2):160-165. Considering the security and energy of the network, proposed A cluster head election algorithm that takes into account communication, energy and data trust factors is proposed. This algorithm can identify malicious nodes in the network and select cluster head nodes with high reliability. However, due to the dynamic nature of the network and the Computational overhead in the network leads to significant energy consumption

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