Name
Abstract | ||
|---|---|---|
The prediction of link quality can provide link selection service for the upper-layer protocol in wireless sensor networks (WSNs). This paper presents a link quality prediction mechanism based on time series forecasting model. It mainly includes the calculation of the current value of packet reception rate (PRR), the prediction of the future value, and the routing measure of the link quality. Experimental results indicate that the mechanism can use fewer probe packets to get a more accurate estimation value and decrease extra energy consumption compared with counting-based PRR estimators. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/UIC-ATC.2010.50 | UIC/ATC Workshops |
Keywords | Field | DocType |
link quality prediction mechanism,link quality,current value,fewer probe packet,accurate estimation value,link selection service,extra energy consumption,counting-based prr estimator,future value,time series model,protocols,wireless sensor networks,wireless sensor network,time series,time series forecasting | Time series,Packet reception,Computer science,Network packet,Computer network,Real-time computing,Future value,Wireless sensor network,Energy consumption,Estimator | Conference |
Citations | PageRank | References |
5 | 0.45 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linlan Liu | 1 | 30 | 5.97 |
| Youlei Fan | 2 | 5 | 0.45 |
| Jian Shu | 3 | 81 | 14.84 |
| Kun Yu | 4 | 38 | 7.33 |