Link-state-estimation-based transmission power control in wireless body area networks

Seungku Kim, Doo-Seop Eom

Research output: Contribution to journalArticle

30 Citations (Scopus)

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%.

Original languageEnglish
Article number6605522
Pages (from-to)1294-1302
Number of pages9
JournalIEEE Journal of Biomedical and Health Informatics
Volume18
Issue number4
DOIs
Publication statusPublished - 2014 Jan 1

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State estimation
Posture
Power control
Telecommunication links
Network protocols
Sensor nodes
Electric power transmission networks
Packet loss
Power transmission
Transceivers
Energy efficiency

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Health Information Management
  • Biotechnology
  • Computer Science Applications

Cite this

Link-state-estimation-based transmission power control in wireless body area networks. / Kim, Seungku; Eom, Doo-Seop.

In: IEEE Journal of Biomedical and Health Informatics, Vol. 18, No. 4, 6605522, 01.01.2014, p. 1294-1302.

Research output: Contribution to journalArticle

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