Secured Fuzzy Based Routing Framework for dynamic wireless sensor networks

Abstract

Wireless sensor networks (WSN) are the ideal domain for applications involving critical security events like military surveillance and detection of forest fire. Wireless sensor networks involve multi-hop routing and it offer minor security against identity deception through replaying routing information. The trust factor in the routing environment plays an important role in the military surveillance and related applications. Secured data aggregation is an important criterion that attracts serious research work. The factors reasonable in such harsh WSN are increased complexity, high overhead and poor link quality in case of various cryptographic techniques. These problems need to be addressed and overcome with the help of appropriate framework mechanisms. The analysis is further enhanced by mobile and harsh network conditions. Current trust-aware routing protocols using traditional cryptographic techniques are not capable of effectively tackling this serious problem. To secure the WSN and to regularise the multi-hop routing techniques, the present work has been designed and implemented. A Fuzzy Based Trust-Aware Routing Framework (FBTARF) is the proposed method for security improvisation in dynamic WSN. FBTARF provides energy-efficient routing and reliable trust using fuzzification methods. Also, FBTARF provides the effective solution against harmful attacks due to identity deception. The dynamic nature of FBTARF is analysed by means of detailed evaluation using simulation and empirical experimental procedures. This has been studied for large-scale WSN under various environments including mobile and harsh network conditions. To improvise the security parameters, the proposed work is developed using a Fuzzy Based Trust Model which simultaneously considers multiple constraints and provides better security and energy conservation. The secured FBTARF model also provides effective and efficient routing in the dynamic wireless sensor network environment. Then, the comparison analysis based on normal TARF and Secured Fuzzy based trust aware routing framework (FBTARF) model is developed and the results show that the secured fuzzy model provides better results in terms of security, packet delivery ratio and energy conservation.