Name
Abstract | ||
|---|---|---|
Wireless body sensors are becoming popular in healthcare applications. Since they are either worn or implanted into human body, these sensors must be very small in size and light in weight. The energy consequently becomes an extremely scarce resource, and energy conservation turns into a first class design issue for body sensor networks (BSNs). This paper deals with this issue by taking into account the unique characteristics of BSNs in contrast to conventional wireless sensor networks (WSNs) for e.g. environment monitoring. A prediction-based data transmission approach suitable for BSNs is presented, which combines a dual prediction framework and a low-complexity prediction algorithm that takes advantage of PIF (proportional-integral-derivative) control. Both the framework and the algorithm are generic, making the proposed approach widely applicable. The effectiveness of the approach is verified through simulations using real-world health monitoring datasets. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.4108/ICST.WICON2010.8543 | Clinical Orthopaedics and Related Research |
Keywords | Field | DocType |
prediction-based data transmission,prediction-based data transmission approach,patient monitoring,energy conservation,biomedical equipment,body sensor networks,healthcare applications,proportional-integral-derivative control,real-world health monitoring datasets,wireless body sensors,three-term control,low-complexity prediction algorithm,wireless sensor network,wireless sensor networks,prediction algorithms,proportional integral derivative,data transmission,human body,object recognition,decision support systems | Energy conservation,Wireless,Data transmission,PID controller,Remote patient monitoring,Computer science,Decision support system,Real-time computing,Wireless sensor network,Distributed computing,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISBN |
abs/0912.2430 | null | 978-963-9799-86-8 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Xia | 1 | 2013 | 153.69 |
| Zhenzhen Xu | 2 | 80 | 11.66 |
| Yao Lin | 3 | 279 | 38.43 |
| Weifeng Sun | 4 | 48 | 10.67 |
| Mingchu Li | 5 | 469 | 78.10 |