Name
Title | ||
|---|---|---|
Fuzzy time series-based cross-layer optimization scheme for cooperative communication in wireless network |
Abstract | ||
|---|---|---|
The cross-layered concept of wireless network breaks the traditional network layered concept to realize interaction between layers. In addition, the broadcasting nature of a wireless environment makes cooperative communications possible. In this paper, by utilizing the cross-layer optimization scheme, we introduce the fuzzy time series predication model that has linear computational complexity to forecast network performance. When we establish a fuzzy time series model, the sent queue length of the link layer is taken into consideration for the network layer's throughput prediction. In addition, we propose a fuzzy time series-based congestion control framework that is combined with a cooperative communication mechanism, and we apply the fuzzy time series prediction results in the preprocessing of network congestion. Through simulation, we demonstrate that the proposed cross-layer cooperative strategies achieve significant network throughput improvement and average packet delivery ratio. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3233/IFS-151985 | JOURNAL OF INTELLIGENT & FUZZY SYSTEMS |
Keywords | Field | DocType |
Fuzzy time series,throughput prediction,cross-layer design,node cooperation | Wireless network,Computer science,Network packet,Fuzzy logic,Network simulation,Computer network,Network architecture,Fuzzy transportation,Network congestion,Distributed computing,Network performance | Journal |
Volume | Issue | ISSN |
29 | 6 | 1064-1246 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liping Huang | 1 | 4 | 3.87 |
| Yongjian Yang | 2 | 39 | 14.05 |
| Chunsheng Cui | 3 | 1 | 2.51 |