Name
Abstract | ||
|---|---|---|
•Opportunistic networking shows great promise in providing an infrastructure for MNP, through its unique perspective over mobility.•Our previous studies show that WiFi is the most feasible media for opportunistic contacts between peers connected to the same wireless access point.•We propose a machine learning algorithm that aims to increase the number of contacts between mobile nodes by using a smarter WiFi access point choosing heuristic.•The algorithm properly balances signal strength, latency, bandwidth, and the number of friends predicted to connect to the respective access point.•We show through simulations based on real-life tracing data-sets that our proposed solution not only increases the likelihood of opportunistic contacts, but it also evenly distributes social subgraphs of users over wireless networks while improving the overall hit rate. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.comnet.2016.07.010 | Computer Networks |
Keywords | Field | DocType |
Machine,Learning,Opportunistic,Social,Networking,Wifi | Hit rate,Wireless network,Heuristic,Wireless,Latency (engineering),Computer science,Computer network,Bandwidth (signal processing),Bluetooth,Peering,Distributed computing | Journal |
Volume | Issue | ISSN |
111 | C | 1389-1286 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cristian-Octavian Ojog | 1 | 0 | 0.34 |
| Radu-Corneliu Marin | 2 | 63 | 7.19 |
| Radu-Ioan Ciobanu | 3 | 102 | 16.79 |
| Ciprian Dobre | 4 | 552 | 87.40 |