Name
Abstract | ||
|---|---|---|
AbstractSocially aware networking (SAN) provides a new paradigm for intermittently connected networks which exploits social properties of mobile users to guide the design of protocols. In SAN, data forwarding performance will be degraded dramatically due to the existence of users' selfish behaviors. To address the selfishness problem, barter-based incentive scheme is a fair approach in which two encounter nodes exchange the same amount of data with one another. However, it is a challenging issue for nodes to decide when two nodes contact and how many messages they will exchange for their next contacts. We consider this problem as a resource allocation problem and propose a community-based Barter incentive scheme for SAN paradigm (Com-BIS). In this method, network nodes are grouped into communities and they allocate their forwarding services for different communities optimally using 0-1 knapsack algorithm. The simulation results show that Com-BIS stimulates selfish nodes to cooperate in data delivery for other nodes effectively which improves the forwarding performance considerably. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1155/2015/671012 | Periodicals |
Field | DocType | Volume |
Incentive,Barter,Computer security,Computer science,Computer network,Node (networking),Exploit,Resource allocation,Selfishness,Data delivery,Knapsack problem,Distributed computing | Journal | 2015 |
Issue | ISSN | Citations |
1 | 1550-1329 | 2 |
PageRank | References | Authors |
0.36 | 24 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Li Liu | 1 | 49 | 3.76 |
| Qiuyuan Yang | 2 | 34 | 4.32 |
| Xiangjie Kong | 3 | 425 | 46.56 |
| Hannan Bin Liaqat | 4 | 12 | 1.89 |
| Ahmedin Mohammed Ahmed | 5 | 90 | 6.26 |
| Nakema Deonauth | 6 | 73 | 3.49 |
| Feng Xia | 7 | 2013 | 153.69 |