A Collaborative Watchdog and Classifier Based Scheme to Detect and Avoid Selfish Nodes in MANET
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 5
Abstract
Wireless mobile ad hoc networks are self-configuring, dynamic networks in which nodes are free to move. A mobile ad hoc network (MANET) is a continuously self-configuring, infrastructure-less network of mobile devices connected without wires, some-times untrustworthy. From last decade, mobile ad hoc networks have become a very popular research topic. Communication range among mobile nodes in ad-hoc network is limited; hence several hopes are needed in a network to transmit a packet from one node to another node. In mobile ad hoc network, some nodes may selfishly decide only to cooperate partially, or not at all, with other nodes as its a cost intensive activity. This behavior of selfish nodes could then degrade the overall data accessibility which results into performance degradation of overall network. We surveyed some key technique for detecting selfish nodes in MANET. The proposed system provides a technique used to detect selfish nodes in such network as well as compare them (to study)in order to reduce the effect of selfish nodes in mobile ad hoc networks. The technique is based on classification which generates classes of nodes as partial selfish or fully selfish. To make such classes it uses details of routing such as number of packets sent, received, and dropped. After analyzing every single parameter classes are generated in order to prevent diffusion of false positives in network. By reducing number false positive messages network can be kept stable and functioning for long time.
Authors and Affiliations
Aniket Patil, Javed Khan, Ashish Khandave, Abhishek yadgire
Keywords
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- EP ID EP22175
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