Name
Abstract | ||
|---|---|---|
Energy efficiency is a primary concern for wireless sensor networks (WSNs). One of its most energy-intensive processes is the radio communication. This work uses a predictor combined with a Kalman filter (KF) to reduce the communication energy cost for cluster-based WSNs. The technique, called PKF, is suitable for typical WSN applications with adjustable data quality and tens of picojoule computat... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TWC.2015.2479234 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
Wireless sensor networks,Accuracy,Kalman filters,Predictive models,Adaptation models,Noise,Clustering algorithms | Data degradation,Data quality,Efficient energy use,Computer science,Computer network,Kalman filter,Real-time computing,Multivariate normal distribution,Wireless sensor network,Cost reduction,Covariance | Journal |
Volume | Issue | ISSN |
15 | 2 | 1536-1276 |
Citations | PageRank | References |
2 | 0.41 | 20 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yanqiu Huang | 1 | 12 | 4.04 |
| Wanli Yu | 2 | 10 | 3.67 |
| Christof Osewold | 3 | 37 | 2.66 |
| Alberto García-Ortiz | 4 | 66 | 19.23 |