• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

The Analysis of Transmission Power Control Model for Energy Efficiency in Body Sensor Systems


Jin-A Hong, Namgi Kim, Journal of Internet Computing and Services, Vol. 15, No. 4, pp. 1-8, Aug. 2014
10.7472/jksii.2014.15.4.01, Full Text:
Keywords: Sensor network, wireless body sensor network, energy consumption, transmission power control

Abstract

In wireless body sensor system(WB-SNSs), unlike existing sensor network system, the size of device is small and amount of battery is considerably limited. And various channel environments can be made by link channel characteristic, human movements, sensor placements, transmission power control(TPC) algorithms and so on. In this paper, therefore we take diverse experiments with totally considerated environments to overcome these restrictions and to manage the energy efficiently and find the value of target received signal strength indicator(RSSI) based on diverse factors such as human movements, sensor placements, and TPC algorithms. And we conduct analysis in terms of energy consumption and packet delivery rate(PDR) based on the experimental results. Through these analysis, we compare and evaluate the efficiency according to setup values of Target RSSI and Target RSSI range suitable for wireless body sensor network system.


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Cite this article
[APA Style]
Jin-A Hong and Namgi Kim (2014). The Analysis of Transmission Power Control Model for Energy Efficiency in Body Sensor Systems. Journal of Internet Computing and Services, 15(4), 1-8. DOI: 10.7472/jksii.2014.15.4.01.

[IEEE Style]
J. Hong and N. Kim, "The Analysis of Transmission Power Control Model for Energy Efficiency in Body Sensor Systems," Journal of Internet Computing and Services, vol. 15, no. 4, pp. 1-8, 2014. DOI: 10.7472/jksii.2014.15.4.01.

[ACM Style]
Jin-A Hong and Namgi Kim. 2014. The Analysis of Transmission Power Control Model for Energy Efficiency in Body Sensor Systems. Journal of Internet Computing and Services, 15, 4, (2014), 1-8. DOI: 10.7472/jksii.2014.15.4.01.