FCCTF: Fairness Congestion Control for a disTrustful wireless sensor network using Fuzzy logic

One of the most important challenges in a densely wireless sensor network (WSN) with potential congestions and packet loss is dissemination of distrusted packets. In this paper we present FCCTF: Fairness Congestion Control for a disTrustful WSN using Fuzzy logic. FCCTF increases each node capability for detecting and isolating malicious nodes in order to improve packet delivery while some important packets endanger dropping due to overflowing. Indeed, FCCTF attempts to improve our previous scheme Fuzzy based trust estimation for Congestion Control in WSNs (FCC) [1]. Simulation results show that FCCTF improves packet delivery up to 18.5% more and it reduces the related packet drop of legitimate nodes 20% less than FCC.

[1]  Subhash Challa,et al.  GTRSSN: Gaussian Trust and Reputation System for Sensor Networks , 2008, SCSS.

[2]  Deborah Estrin,et al.  Directed diffusion for wireless sensor networking , 2003, TNET.

[3]  John Heidemann,et al.  RMST: reliable data transport in sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[4]  Deborah Estrin,et al.  Advances in network simulation , 2000, Computer.

[5]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[6]  Saad Ahmed Munir,et al.  Fuzzy Logic Based Congestion Estimation for QoS in Wireless Sensor Network , 2007, 2007 IEEE Wireless Communications and Networking Conference.

[7]  Chieh-Yih Wan,et al.  CODA: congestion detection and avoidance in sensor networks , 2003, SenSys '03.

[8]  J. Martin Leo Manickam,et al.  Fuzzy Based Trusted Ad Hoc On-demand Distance Vector Routing Protocol for MANET , 2007, Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2007).

[9]  J. Mendel.  Fuzzy logic systems for engineering: a tutorial , 1995, Proc. IEEE.

[10]  Yoonmee Doh,et al.  PLUS: parameterised localised trust management-based security framework for sensor networks , 2008, Int. J. Sens. Networks.

[11]  Zhang Yanyong,et al.  TARA: Topology-Aware Resource Adaptation to Alleviate Congestion in Sensor Networks , 2007 .

[12]  H. Balakrishnan,et al.  Mitigating congestion in wireless sensor networks , 2004, SenSys '04.

[13]  Chieh-Yih Wan,et al.  Pump-slowly, fetch-quickly (PSFQ): a reliable transport protocol for sensor networks , 2005, IEEE Journal on Selected Areas in Communications.

[14]  Avesta Sasan,et al.  Fuzzy Based Trust Estimation for Congestion Control in Wireless Sensor Networks , 2009, 2009 International Conference on Intelligent Networking and Collaborative Systems.

[15]  Tae Ho Cho,et al.  Fuzzy Logic Anomaly Detection Scheme for Directed Diffusion Based Sensor Networks , 2006, FSKD.

[16]  Choong Seon Hong,et al.  Reliable Event Detection and Congestion Avoidance in Wireless Sensor Networks , 2007, HPCC.

[17]  Mohamed F. Younis,et al.  An energy-aware QoS routing protocol for wireless sensor networks , 2003, 23rd International Conference on Distributed Computing Systems Workshops, 2003. Proceedings..

[18]  Özgür B. Akan,et al.  ESRT: event-to-sink reliable transport in wireless sensor networks , 2003, MobiHoc '03.