DocumentCode
17549
Title
Link-State-Estimation-Based Transmission Power Control in Wireless Body Area Networks
Author
Seungku Kim ; Doo-Seop Eom
Author_Institution
Dept. of Electr. Eng., Korea Univ., Seoul, South Korea
Volume
18
Issue
4
fYear
2014
fDate
Jul-14
Firstpage
1294
Lastpage
1302
Abstract
This paper presents a novel transmission power control protocol to extend the lifetime of sensor nodes and to increase the link reliability in wireless body area networks (WBANs). We first experimentally investigate the properties of the link states using the received signal strength indicator (RSSI). We then propose a practical transmission power control protocol based on both short- and long-term link-state estimations. Both the short- and long-term link-state estimations enable the transceiver to adapt the transmission power level and target the RSSI threshold range, respectively, to simultaneously satisfy the requirements of energy efficiency and link reliability. Finally, the performance of the proposed protocol is experimentally evaluated in two experimental scenarios-body posture change and dynamic body motion-and compared with the typical WBAN transmission power control protocols, a real-time reactive scheme, and a dynamic postural position inference mechanism. From the experimental results, it is found that the proposed protocol increases the lifetime of the sensor nodes by a maximum of 9.86% and enhances the link reliability by reducing the packet loss by a maximum of 3.02%.
Keywords
body area networks; power transmission control; radio transceivers; RSSI; WBAN transmission power control protocols; body posture change; dynamic body motion; dynamic postural position inference mechanism; energy efficiency; link reliability; link states; link-state estimations; link-state-estimation-based transmission power control; practical transmission power control protocol; real-time reactive scheme; received signal strength indicator; sensor node lifetime; sensor nodes; transceiver; transmission power level; wireless body area networks; Energy consumption; Energy efficiency; Estimation; Power control; Protocols; Reliability; Wireless sensor networks; Healthcare; link-state estimation; transmission power control; wireless body area network (WBAN);
fLanguage
English
Journal_Title
Biomedical and Health Informatics, IEEE Journal of
Publisher
ieee
ISSN
2168-2194
Type
jour
DOI
10.1109/JBHI.2013.2282864
Filename
6605522
Link To Document