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2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA) (2017)
Taipei, Taiwan
March 27, 2017 to March 29, 2017
ISSN: 1550-445X
ISBN: 978-1-5090-6029-0
pp: 278-284
ABSTRACT
The opportunistic networks are the variants of Delay Tolerant Networks (DTNs). These networks can be useful for routing in places where there are few base stations and connected routes for long distances. In an opportunistic network, when nodes move away or turn off their power to conserve energy, links may be disrupted or shut down periodically. These events result in intermittent connectivity. When there is no path existing between the source and the destination, the network partition occurs. Therefore, nodes need to communicate with each other via opportunistic contacts through store-carry-forward operation. In this work, we consider the actor node selection problem in opportunistic networks. We propose a fuzzy-based system consisting of three input parameters. The output parameter is actor node selection decision. We evaluate the performance of the proposed system by simulations. The simulation results show that the proposed system makes a proper selection decison of actor nodes in opportunistic networks.
INDEX TERMS
Internet of things, Protocols, Mercury (metals), Fuzzy logic, Routing, Middleware, Business
CITATION

M. Cuka, D. Elmazi, K. Ozera, T. Oda and L. Barolli, "Selection of Actor Nodes in Opportunistic Networks: A Fuzzy-Based Approach," 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA), Taipei, Taiwan, 2017, pp. 278-284.
doi:10.1109/AINA.2017.118
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