Improving Reliability and Endurance Using End-to-End Trust in Distributed Low-Power Sensor Networks

Wireless Sensor Networks are characterised by a large amount of participating nodes. Considering attackers and malicious elements within such a network poses challenges for the network protocols in operation. Based on concepts from the Organic Computing domain, this paper introduces a novel approach to introduce reliability measures and establish End-to-End trust in WSNs. We evaluate our concepts using simulation by adding nodes which try to attack the system. The results show that these malicious nodes can be quickly isolated with low additional effort.

[1]  Maximiliano Bottazzi,et al.  DT-WBAN: Disruption tolerant wireless body area networks in healthcare applications , 2013, 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

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

[3]  Fredrik Österlind,et al.  A Sensor Network Simulator for the Contiki OS , 2006 .

[4]  L. Wolf,et al.  Architecture and evaluation of INGA an inexpensive node for general applications , 2012, 2012 IEEE Sensors.

[5]  Jan M. Rabaey,et al.  Low power distributed MAC for ad hoc sensor radio networks , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[6]  Thomas Noël,et al.  T-AAD: Lightweight traffic auto-adaptations for low-power MAC protocols , 2014, 2014 13th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET).

[7]  Jörg Hähner,et al.  Observation and Control of Organic Systems , 2011, Organic Computing.

[8]  Rino Falcone,et al.  Trust Theory: A Socio-Cognitive and Computational Model , 2010 .

[9]  Philip Levis,et al.  RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks , 2012, RFC.

[10]  Weisong Shi,et al.  Design and Implementation of TARF: A Trust-Aware Routing Framework for WSNs , 2012, IEEE Transactions on Dependable and Secure Computing.

[11]  Mihai T. Lazarescu,et al.  Design of a WSN Platform for Long-Term Environmental Monitoring for IoT Applications , 2013, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[12]  Pascal Thubert,et al.  Objective Function Zero for the Routing Protocol for Low-Power and Lossy Networks (RPL) , 2012, RFC.

[13]  Adam Dunkels,et al.  Contiki - a lightweight and flexible operating system for tiny networked sensors , 2004, 29th Annual IEEE International Conference on Local Computer Networks.

[14]  Jorge Sá Silva,et al.  The GINSENG system for wireless monitoring and control: Design and deployment experiences , 2013, TOSN.

[15]  Lars C. Wolf,et al.  A demonstrator of the GINSENG-approach to performance and closed loop control in WSNs , 2012, 2012 Ninth International Conference on Networked Sensing (INSS).

[16]  Philip Levis,et al.  The Minimum Rank with Hysteresis Objective Function , 2012, RFC.

[17]  Douglas S. J. De Couto,et al.  High-throughput routing for multi-hop wireless networks , 2004 .

[18]  Julita Vassileva,et al.  Trust-Based Community Formation in Peer-to-Peer File Sharing Networks , 2004, IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).

[19]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[20]  Philippe Jacquet,et al.  Optimized Link State Routing Protocol (OLSR) , 2003, RFC.