An Energy-Efficient Reliable Trust-Based Data Aggregation Protocol for Wireless Sensor Networks

Security data aggregation plays an important role in reducing the amount of data transmission and prolonging the life of wireless sensor networks (WSN). When the security of the aggregation nodes is threatened, the networks can generate many aggregated data errors, leading to trouble in a security measure. In this paper, we propose an energy-efficient reliable trust-based data aggregation protocol for WSN called the ERTDA protocol. Based on the observations of the nodal behavior, the ERTDA protocol calculates, monitors and evaluates the trust values of the nodes; it also detects and excludes the compromised nodes in a timely manner. The simulation results illustrate that the ERTDA protocol can effectively improve the accuracy of the aggregation, reduce the nodal mortality rate, reduce the nodal energy consumption, improve the reliability of the data transmission and extend the life of the networks.

[1]  Yun Liu,et al.  Improved Reliable Trust-Based and Energy-Efficient Data Aggregation for Wireless Sensor Networks , 2013, Int. J. Distributed Sens. Networks.

[2]  S. Ozdemir,et al.  Functional Reputation Based Data Aggregation for Wireless Sensor Networks , 2008, 2008 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications.

[3]  A. Perrig,et al.  The Sybil attack in sensor networks: analysis & defenses , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

[4]  原田 秀逸 私の computer 環境 , 1998 .

[5]  Stephen Hailes,et al.  Supporting trust in virtual communities , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[6]  Audun Jøsang,et al.  AIS Electronic Library (AISeL) , 2017 .

[7]  Mukesh Singhal,et al.  Security in wireless sensor networks , 2008, Wirel. Commun. Mob. Comput..

[8]  D. Collard,et al.  Trust : making and breaking cooperative relations , 1989 .

[9]  Mani B. Srivastava,et al.  Reputation-based framework for high integrity sensor networks , 2008, TOSN.

[10]  Audun Jøsang,et al.  A survey of trust and reputation systems for online service provision , 2007, Decis. Support Syst..

[11]  P. Dasgupta Trust as a commodity , 1988 .

[12]  Deborah Estrin,et al.  The impact of data aggregation in wireless sensor networks , 2002, Proceedings 22nd International Conference on Distributed Computing Systems Workshops.

[13]  Kay Römer,et al.  Programming Paradigms and Middleware for Sensor Networks , 2004 .

[14]  David A. Wagner,et al.  Secure routing in wireless sensor networks: attacks and countermeasures , 2003, Ad Hoc Networks.

[15]  Suat Özdemir,et al.  Functional reputation based reliable data aggregation and transmission for wireless sensor networks , 2008, Comput. Commun..

[16]  Suat Özdemir Functional Reputation Based Data Aggregation for Wireless Sensor Networks , 2008, WiMob.

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

[18]  P. Kumarawadu,et al.  Secure Routing in Sensor Networks , 2007, 2007 Canadian Conference on Electrical and Computer Engineering.

[19]  Elaine Shi,et al.  The Sybil attack in sensor networks: analysis & defenses , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.

[20]  Lik Mui,et al.  A Computational Model of Trust and Reputation for E-businesses , 2002 .