Abstract
The resource efficiency and dependability are the most basic requirements for a trust model in any wireless sensor network. However, owing to high cost and low reliability, the existing trust models for wireless sensor networks can not satisfy these requirements. To take into account the issues, a lightweight and dependable trust model for clustered wireless sensor network is proposed in this paper, in which the fuzzy degree of nearness is adopted to evaluate the reliability of the recommended trust values from the third party nodes. Moreover, the definition of a self-adapted weighted method for trust aggregation at CH level surpasses the limitations of the subjective definition of weights in traditional weighted method. Theoretical analysis and simulation results show, compared with other typical trust models, the proposed scheme requires less memory and communication overhead and has good fault tolerance and robustness, which can effectively guarantee the security of wireless sensor network.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Khalid, O., Khan, S.U., Madani, S.A., et al.: Comparative study of trust and reputation systems for wireless sensor networks. Secur. Commun. Netw. 6, 669–688 (2013)
Kant, K.: Systematic design of trust management systems for wireless sensor networks: a review. In: 4th IEEE International Conference on Advanced Computing and Communication Technologies (ACCT), pp. 208–215 (2014)
Ishmanov, F., Malik, A.S., Kim, S.W., et al.: Trust management system in wireless sensor networks: design considerations and research challenges. Trans. Emerg. Telecommun. Technol. 26, 107–130 (2015)
Ganeriwal, S., Balzano, L.K., Srivastava, M.B.: Reputation-based framework for high integrity sensor networks. ACM Trans. Sensor Netw. (TOSN) 4, 15 (2008)
Yao, L., Wang, D., Liang, X., et al.: Research on multi-level fuzzy trust model for wireless sensor networks. Chin. J. Sci. Instru. 35, 1606–1613 (2014)
Duan, J., Gao, D., Yang, D., et al.: An energy-aware trust derivation scheme with game theoretic approach in wireless sensor networks for IoT applications. IEEE Internet Things J. 1, 58–69 (2014)
Zhang, M., Xu, C., Guan, J., et al.: A novel bio-inspired trusted routing protocol for mobile wireless sensor networks. KSII Trans. Internet Inf. Syst. (TIIS). 8, 74–90 (2014)
Boukerche, A., Xu, L., EL-Khatib, K.: Trust-based Security for wireless Ad Hoc and sensor networks. Comput. Commun. 30, 2413–2427 (2007)
Shaikh, R.A., Jameel, H., d’Auriol, B.J., et al.: Group-based trust management scheme for clustered wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 20, 1698–1712 (2009)
Bao, F., Chen, R., Chang, M.J., et al.: Hierarchical trust management for wireless sensor networks and its applications to rrust-based routing and intrusion detection. IEEE Trans. Netw. Serv. Manage. 9, 169–183 (2012)
Li, X., Zhou, F., Du, J.: LDTS: a lightweight and dependable trust system for clustered wireless sensor networks. IEEE Trans. Inf. Forensics Secur. 8, 924–935 (2013)
Younis, O., Fahmy, S.: HEED: a hybrid, energy-efficient, distributed clustering approach for ad-hoc sensor networks. IEEE Trans. Mob. Comput. 3, 366–379 (2004)
Wei, D., Jin, Y., Vural, S., et al.: An energy-efficient clustering solution for wireless sensor networks. IEEE Trans. Wireless Commun. 10, 3973–3983 (2011)
Javaid, N., Qureshi, T.N., Khan, A.H., et al.: EDDEEC: enhanced developed distributed energy-efficient clustering for heterogeneous wireless sensor networks. Procedia Comput. Sci. 19, 914–919 (2013)
Han, G., Jiang, J., Shu, L., et al.: Management and applications of trust in wireless sensor networks: a survey. J. Comput. Syst. Sci. 80, 602–617 (2014)
Yang, J., Gong, F.: Consistent and reliable fusion method of multi-sensor based on degree of nearness. Chin. J. Sens. Actuators 23, 984–988 (2010)
Acknowledgement
The paper is supported by the Nature Science Foundation of Jiangsu Province (No. BK20131107).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Shao, N., Zhou, Z., Sun, Z. (2015). A Lightweight and Dependable Trust Model for Clustered Wireless Sensor Networks. In: Huang, Z., Sun, X., Luo, J., Wang, J. (eds) Cloud Computing and Security. ICCCS 2015. Lecture Notes in Computer Science(), vol 9483. Springer, Cham. https://doi.org/10.1007/978-3-319-27051-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-27051-7_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-27050-0
Online ISBN: 978-3-319-27051-7
eBook Packages: Computer ScienceComputer Science (R0)