A Fuzzy logic-based Energy Efficient Packet Loss Preventive Routing Protocol

The sensor nodes in a Wireless Sensor Network (WSN) are typically characterized by limited power supply, low bandwidth, small memory sizes and limited energy, leading to a very demanding environment to provide security. In this paper, we propose a protocol named Fuzzy Logic-based Energy Efficient Packet Loss Preventive Routing Protocol (FEEPRP) that adopts a routing algorithm which imparts security in terms of avoiding malicious nodes and prevent data loss as well as constrains the utilization of excess energy. FEEPRP does not absorb the idea of any kind of digital signatures or Message Authentication Code (MAC) for authentication, as the latter produce high communication overhead. It exploits the fuzzy decision making model to avail an energy-efficient secure route to the destination. Simulation analysis shows that the FEEPRP helps to impart effective security to the network while maintaining an improved network performance level.

[1]  Daniel Minoli,et al.  Wireless Sensor Networks: Technology, Protocols, and Applications , 2007 .

[2]  T. Haider,et al.  Energy-aware fuzzy routing for wireless sensor networks , 2005, Proceedings of the IEEE Symposium on Emerging Technologies, 2005..

[3]  Mark A. Shayman,et al.  Energy Efficient Routing in Wireless Sensor Networks , 2003 .

[4]  Sanguthevar Rajasekaran,et al.  Neural networks, fuzzy logic, and genetic algorithms : synthesis and applications , 2003 .

[5]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[6]  C. Karlof,et al.  Secure routing in wireless sensor networks: attacks and countermeasures , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

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

[8]  David A. Wagner,et al.  Security in wireless sensor networks , 2004, SASN '04.

[9]  S. Rajashekaran,et al.  Neural Networks, Fuzzy Logic and Genetic Algorithms , 2004 .

[10]  Laurence Tianruo Yang,et al.  Fuzzy Logic with Engineering Applications , 1999 .

[11]  Ramesh Govindan,et al.  Wireless sensor networks , 2003, Comput. Networks.

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

[13]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[14]  Sasikanth Avancha,et al.  Security for Sensor Networks , 2004 .

[15]  Jorge Nuevo A Comprehensible GloMoSim Tutorial , 2004 .

[16]  Irfan-Ullah Awan,et al.  Performance Analysis of DSR & Extended DSR Protocols , 2008, 2008 Second Asia International Conference on Modelling & Simulation (AMS).

[17]  D. Pesch,et al.  Multi-metric routing decisions for ad hoc networks using fuzzy logic , 2004, 1st International Symposium onWireless Communication Systems, 2004..

[18]  R. Chandrasekar,et al.  A fuzzy, energy-efficient scheme for data centric multipath routing in wireless sensor networks , 2006, 2006 IFIP International Conference on Wireless and Optical Communications Networks.

[19]  Anantha Chandrakasan,et al.  Dynamic Power Management in Wireless Sensor Networks , 2001, IEEE Des. Test Comput..

[20]  Sudip Misra,et al.  REEP: data-centric, energy-efficient and reliable routing protocol for wireless sensor networks , 2008, IET Commun..

[21]  Leonidas J. Guibas,et al.  Wireless sensor networks - an information processing approach , 2004, The Morgan Kaufmann series in networking.

[22]  Vijay Varadharajan,et al.  Packet Drop Attack: A Serious Threat to Operational Mobile Ad hoc Networks , 2005 .

[23]  J. Broch,et al.  Dynamic source routing in ad hoc wireless networks , 1998 .

[24]  A. M. Natarajan,et al.  DYNAMIC SOURCE ROUTING PROTOCOL USING FUZZY LOGIC CONCEPTS FOR AD HOC NETWORKS , 2005 .

[25]  N. K. Sinha,et al.  Fuzzy Logic Applications in Engineering Science , 2006 .

[26]  D. Signorini,et al.  Neural networks , 1995, The Lancet.

[27]  Paul J.M. Havinga,et al.  Implementation of an On-Demand Routing Protocol for Wireless Sensor Networks , 2006 .