An Extended Energy Consumption Analysis of Reputation-based Trust Management Schemes of Wireless Sensor Networks

Energy consumption is one of the most important parameters for evaluation of a scheme proposed for wireless sensor networks (WSNs) because of their resource constraint nature. Comprehensive comparative analysis of proposed reputation-based trust management schemes of WSNs from this perspective is currently not available in the literature. In this paper, we have presented a theoretical and simulation based energy consumption analysis and evaluation of three state-of-the-art reputation-based trust management schemes of WSNs. Results show that the GTMS scheme consume less energy as compared with the RFSN and PLUS schemes.

[1]  Lu Bai,et al.  Energy balance in cooperative Wireless Sensor Network , 2008, 2008 14th European Wireless Conference.

[2]  Xiaoming Lu,et al.  Non-uniform Entropy Compression for Uniform Energy Distribution in Wireless Sensor Networks , 2008, 2008 Second International Conference on Sensor Technologies and Applications (sensorcomm 2008).

[3]  John S. Baras,et al.  On trust models and trust evaluation metrics for ad hoc networks , 2006, IEEE Journal on Selected Areas in Communications.

[4]  Mostafa H. Ammar,et al.  A reputation system for peer-to-peer networks , 2003, NOSSDAV '03.

[5]  Azzedine Boukerche,et al.  Trust-based security for wireless ad hoc and sensor networks , 2007, Comput. Commun..

[6]  Paul Resnick,et al.  Reputation Systems: Facilitating Trust in Internet Interactions , 2000 .

[7]  Mani B. Srivastava,et al.  Reputation-based framework for high integrity sensor networks , 2004, SASN '04.

[8]  David Ingram,et al.  An Evidence Based Architecture for Efficient, Attack-Resistant Computational Trust Dissemination in Peer-to-Peer Networks , 2005, iTrust.

[9]  Jean-Yves Le Boudec,et al.  Self-policing mobile ad hoc networks by reputation systems , 2005, IEEE Communications Magazine.

[10]  J. Walters,et al.  Chapter 17 Wireless Sensor Network Security : A Survey , 2006 .

[11]  Sajid Hussain,et al.  An Energy Efficient Spanning Tree Based Multi-Hop Routing in Wireless Sensor Networks , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[12]  Morris Sloman,et al.  A survey of trust in internet applications , 2000, IEEE Communications Surveys & Tutorials.

[13]  Heejo Lee,et al.  Group-Based Trust Management Scheme for Clustered Wireless Sensor Networks , 2009, IEEE Transactions on Parallel and Distributed Systems.

[14]  Y. Tipsuwan,et al.  A Power Efficient Algorithm for Data Gathering from Wireless Water Meter Networks , 2006, 2006 4th IEEE International Conference on Industrial Informatics.

[15]  Ki Jun Han,et al.  A power efficient routing protocol based on balanced tree in wireless sensor networks , 2005, First International Conference on Distributed Frameworks for Multimedia Applications.

[16]  Zhu Han,et al.  Information theoretic framework of trust modeling and evaluation for ad hoc networks , 2006, IEEE Journal on Selected Areas in Communications.

[17]  Ibrahim Korpeoglu,et al.  Power efficient data gathering and aggregation in wireless sensor networks , 2003, SGMD.

[18]  S. Buchegger,et al.  A Robust Reputation System for Peer-to-Peer and Mobile Ad-hoc Networks , 2004 .

[19]  Yoonmee Doh,et al.  PLUS: Parameterized and Localized trUst management Scheme for sensor networks security , 2006, 2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[20]  Ling Liu,et al.  PeerTrust: supporting reputation-based trust for peer-to-peer electronic communities , 2004, IEEE Transactions on Knowledge and Data Engineering.