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Multi agent dynamic weight based cluster trust estimation for hierarchical wireless sensor networks

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Abstract

The clustering scheme in Hierarchical Wireless Sensor Network (HWSN) reduces the delay, energy consumption, high scalability, and reduces network traffic but during transmission of data packets from source and destination may vulnerable to various malicious attacks. Therefore, we propose the Multi Agent Weight based Clustering—Dynamic Trust Estimation Scheme (MWC-DTE) for trusted transmission with minimum energy consumption. Initially, the Weight Based Clustering algorithm (WBCA) is used for Cluster Head (CH) selection. The WBCA is based on network system attributes such as communication power, node battery, ideal node degree and mobility. Then, the Dynamic Trust Estimation Scheme is used to evaluate the dynamic trust. This proposed scheme consists of four modules: Direct Trust (DTM), Indirect Trust (IDTM), Integrated Trust (IT), and update trust module. First, the DT calculation is based on three attributes data trust, energy trust and communication trust. Secondly, the IDT is calculated by the Third Party (TP) recommendation. Then, the IT value is evaluated by the combined DT and IDT weight value. At last, we update the dynamic weighted value. The experimental result of this proposed model shows better performance during multiple malicious attacks in terms of energy efficiency, delay, execution time, and network lifetime.

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  1. Department of Computer Science, Mansarovar Global University, Sehore, MP, 466001, India

    Rahul Das & Mona Dwivedi

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  1. Rahul Das
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  2. Mona Dwivedi
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All the authors have participated in writing the manuscript and have revised the final version. All authors read and approved the final manuscript.

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Correspondence to Rahul Das.

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Das, R., Dwivedi, M. Multi agent dynamic weight based cluster trust estimation for hierarchical wireless sensor networks. Peer-to-Peer Netw. Appl. 15, 1505–1520 (2022). https://doi.org/10.1007/s12083-022-01293-9

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  • DOI: https://doi.org/10.1007/s12083-022-01293-9

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