Abstract
Efficient power management is vital for increasing the life of wireless sensor networks (WSN). the main reason is that the radio transmission consumes energy approximately three times comparing to other operations. Thus, techniques such as data aggregation have been widely used in WSN to preserve energy. Despite its appealing and powerful features, data aggregation requires a high level of security as tampering with aggregating data can be suspected due to small bit errors. We propose a comprehensive trust management approach to deal with the potential dishonest and faulty motes in sensor networks. Unlike other trust management approaches, we take into account multiple properties in leveraging between positive trust and behavior uncertainty so as to yield the projection of trust which represents truster's confidence in the trustee node to have the capability to complete the task. We comprehensively evaluate and compare trust management schemes in the sensing environment using TOSSim simulator. the results have shown that the proposed scheme is memory efficient and provides fairly accurate results allowing sensors to appropriately adjust themselves and manage to carry out their missions during normal and extreme environment. © 2011 IEEE.
Recommended Citation
N. Poolsappasit and S. Madria, "A Secure Data Aggregation based Trust Management Approach for Dealing with Untrustworthy Motes in Sensor Network," Proceedings of the International Conference on Parallel Processing, pp. 138 - 147, article no. 6047182, Institute of Electrical and Electronics Engineers, Nov 2011.
The definitive version is available at https://doi.org/10.1109/ICPP.2011.16
Department(s)
Computer Science
Keywords and Phrases
Data aggregation; Sensor network; Trust management
International Standard Book Number (ISBN)
978-076954510-3
International Standard Serial Number (ISSN)
0190-3918
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
07 Nov 2011