Abstract
Sensor network’s safety measures are built on an unrealistic trusted environment, because proposed trust models for WSNs are unsuited for resource supplies and have high computation overhead. This paper proposes a lightweight and realistic trust model for clustered WSNs (LTM). This model has been designed on the dynamic nature of actual trust building mechanism to meet the resource constraint of tiny sensor nodes. A trust metrics priority to emphasize on the important tasks of a sensor node is introduced here. A dynamic trust updating algorithm that ensures brisk drop and sluggish rise of trust is also proposed. Additionally, a self-adaptive weighted method is defined for trust aggregation, to avoid misjudgment of aggregated trust calculation. The proposed trust model also provides better resilience against vulnerabilities. We have tested the feasibility of our trust model with MATLAB.
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References
Li, X., Zhou, F., Du, J.: LDTS: A Lightweight and Dependable Trust-System for Clustered Wireless Sensor Networks. IEEE Transactions on Information Forensics and Security 8(6), 924–935 (2013)
Shaikh, R.A., Jameel, H., d’Auriol, B.J., Lee, H., Lee, S.: Group-based Trust Man-agement Scheme for Clustered Wireless Sensor Networks. IEEE Transactions on Parallel Distributed. Systems 20(11), 1698–1712 (2009)
Heinzelman, W.B., Chandrakasan, A.P., Balakrishnan, H.: An Application- Specific Protocol Architecture for Wireless Micro sensor Networks. IEEE Transaction on Wireless Communication 1(4), 660–670 (2002)
Kumar, D., Aseri, T.C., Patel, R.B.: EEHC: Energy Efficient Heterogeneous Clustered Scheme for wireless Sensor Networks. Computer Communications 32(4), 662–667 (2009)
Jin, Y., Vural, S., Moessner, K., Tafazolli, R.: An Energy-Efficient Clustering Solution for Wireless Sensor Networks. IEEE Transaction on Wireless Communication 10(11), 3973–3983 (2011)
Sun, Y., Han, Z., Liu, K.J.R.: Defense of Trust Management Vulnerabilities in Dis-tributed Networks. IEEE Communication Magazine 46(2), 112–119 (2009)
Yu, H., Shen, Z., Miao, C., Leung, C., Niyato, D.: A Survey of Trust and Reputation Management Systems in Wireless Communications. Proc. IEEE 98(10), 1752–1754 (2010)
Bao, F., Chen, I., Chang, M., Cho, J.: Hierarchical Trust Management for Wireless Sen-sor Networks and its Applications to trust-based Routing and Intrusion Detection. IEEE Transaction on Network Service Management 9(2), 169–183 (2012)
Zhan, G., Shi, W., Deng, J.: Design and Implementation of TARF: A Trust-Aware Routing Framework for WSNs. IEEE Transaction on Depend 9(2), 184–197 (2012)
Aivaloglou, E., Gritzalis, S.: Hybrid trust and reputation management for sensor networks. Wireless Network 16(5), 1493–1510 (2010)
Sahoo, R.R., Singh, M., Sahoo, B.M., Majumder, K., Ray, S.-H., Sarkar, S.K.: A Lightweight Trust Based Secure and Energy Ef-ficient Clustering in Wireless Sensor Network: Honey Bee Mating Intelligence Approach. Procedia Technology, 27–28 (September 2013)
Sahoo, R.R., Sardar, A.R., Singh, M., Ray, S., Sarkar, S.K.: Trust Based Secure and Energy Efficient Clustering in Wireless Sensor Network: A Bee Mating Approach. In: Maji, P., Ghosh, A., Murty, M.N., Ghosh, K., Pal, S.K. (eds.) PReMI 2013. LNCS, vol. 8251, pp. 100–107. Springer, Heidelberg (2013)
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Singh, M., Sardar, A.R., Sahoo, R.R., Majumder, K., Ray, S., Sarkar, S.K. (2015). Lightweight Trust Model for Clustered WSN. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-319-12012-6_85
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DOI: https://doi.org/10.1007/978-3-319-12012-6_85
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12011-9
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