Collusion Based Realization of Trust and Reputation Models in Extreme Fraudulent Environment over Static and Dynamic Wireless Sensor Networks | Zendy

Vinod Kumar Verma | Zendy; Surinder Singh | Zendy; Nagendra Prasad Pathak | Zendy

Open Access

Collusion Based Realization of Trust and Reputation Models in Extreme Fraudulent Environment over Static and Dynamic Wireless Sensor Networks

Author(s) -

Vinod Kumar Verma,

Surinder Singh,

Nagendra Prasad Pathak

Publication year - 2014

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2014/672968

Subject(s) - collusion , computer science , wireless sensor network , reputation , realization (probability) , node (physics) , wireless , computer network , key distribution in wireless sensor networks , energy consumption , fuzzy logic , wireless network , distributed computing , telecommunications , artificial intelligence , social science , statistics , ecology , mathematics , structural engineering , sociology , engineering , economics , biology , microeconomics

We derive a new representation for the collusive sensor nodes when the underlying fraudulent correlated environment has strong influence on wireless sensor networks performance. We have evaluated collusion effect with respect to static (SW) and dynamic (DW) wireless sensor networks to derive the joint resultant. Moreover accuracy, path length, and energy consumption of sensor node operations are also evaluated. Additionally, we emphasized over the satisfaction evaluation for linguistic fuzzy trust and reputation (LFTM) models in the deployed WSN framework. Finally, simulation analysis has been carried out to prove the validity of our proposal. However, collusion for wireless sensor networks seems intractable with the static and dynamic WSNs when varied with specified number of fraudulent nodes in the scenario.

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