Name
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/AINA.2017.118 | 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA) |
Keywords | Field | DocType |
Wireless Networks,WSAN,Fuzzy Logic,Actor Mobility,Intelligent Systems,Congestion Situation | Network partition,Middleware,Base station,Computer science,Fuzzy logic,Internet of Things,Computer network,Turn off,Distributed computing | Conference |
ISSN | ISBN | Citations |
1550-445X | 978-1-5090-6030-6 | 0 |
PageRank | References | Authors |
0.34 | 16 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miralda Cuka | 1 | 18 | 12.97 |
| Donald Elmazi | 2 | 157 | 31.95 |
| Kesuke Ozera | 3 | 2 | 0.70 |
| Tetsuya Oda | 4 | 445 | 86.37 |
| Leonard Barolli | 5 | 2178 | 333.62 |