e-ISSN : 0975-4024 p-ISSN : 2319-8613   
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ABSTRACT

ISSN: 0975-4024

Title : Reliable Fuzzy Reputation System to enhance the performance of disseminating the information in VANET
Authors : P.Uma Maheswari, M.Rajeswari
Keywords : RFRS, VANET, UGFT, Reliability
Issue Date : Aug - Sep 2014
Abstract :
VANET (Vehicular Adhoc NETwork) is a special type of MANET in which moving vehicles are considered to be nodes. Vehicular nodes are allowed to forward the road related information like traffic condition, congestion in road, accident, weather condition etc to other vehicles. This information is very useful and valuable to nearby vehicles which will increase the road safety and hence it reduces the congestion. Message transmission will not be effective unless it is reliable. This paper demonstrates Reliable Fuzzy Reputation System (RFRS) which is reliable in terms of forwarding the information in vehicular network. Reliability is achieved by introducing RFRS and Universal Generating Function Techniques (UGFT) method in VANET. RFRS is used to find the selfish nodes from non-selfish nodes and gather the information from selfish nodes and finally forward to other ongoing vehicles effectively. Successful transmission of packets from source node to target node is calculated by using node UGF, UGF of FM (Forward Manager) and UGF of FRM (Fuzzy Reputation Manager). Also we projected an EMAP system - trusted authority, which is responsible for sharing secret keys to all OBUs in network that improves the security. Simulation is carried out in Network Simulator (NS-2) to evaluate the performance with respect to Packet Delivery Ratio, Delay, Packet Loss Ratio, Energy Rate and Throughput.
Page(s) : 1856-1866
ISSN : 0975-4024
Source : Vol. 6, No.4