A Combinatorial Multi-Objective Trust Model for Efficient and Secured Routing in UWSN
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2015 by IJETT Journal|
|Year of Publication : 2015|
|Authors : U D Prasan, Dr. S Murugappan|
|DOI : 10.14445/22315381/IJETT-V22P255|
U D Prasan, Dr. S Murugappan"A Combinatorial Multi-Objective Trust Model for Efficient and Secured Routing in UWSN", International Journal of Engineering Trends and Technology (IJETT), V22(6),259-264 April 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Wireless Sensor Networks (WSN) play an important role in applications both in the civilian as well as in the defence sector. WSNs are autonomous, distributed, self-organized networks consisting of multiple sensor nodes. Usually, limited radio range of the nodes, arising from energy constraints and trust value amongst the nodes, is overcome with the cooperation between nodes. Attention in the domain of Underwater Wireless Sensor Networks (UWSN) is increasing because of its realistic applications and necessity of communication through mobile devices. A mobile ad hoc network consists of mobile self configuring wireless nodes and these nodes communicate amongst themselves without any centralized management system. Dynamic characteristics of UWSN, has made it fairly demanding to uphold connectivity and guarantee Quality of Service (QoS). Trust based routing is one way to develop cooperation among nodes for performing efficient routing between nodes. A trust based AODV is presented where nodes are selected for routing based on their trust values. A threshold value is defined dynamically and nodes are preferred for routing only if the trust levels are higher than the threshold. Energy levels of nodes are also considered to make routing still more efficient. Nodes which are selected for routing are also considered based on high energy levels. In addition, all data transmission is secured using MD5 algorithm. Simulation results show good improvement on QoS metrics like Packet Delivery Ratio, Throughput, Delay, Packet Received, Packet Loss and energy consumption when compared with traditional AODV and DSR.
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Wireless Sensor Network, Threshold value, Data transmission, Secured, Throughput, Delay.