Analysis of body sensor network using human body as the channel

Authors:
Jerald Yoo;Namjun Cho;Hoi-Jun Yoo
Affiliations:
Korea Advanced Institute of Science and Technology (KAIST), Guseong, Yuseong, Daejeon, South Korea;Korea Advanced Institute of Science and Technology (KAIST), Guseong, Yuseong, Daejeon, South Korea;Korea Advanced Institute of Science and Technology (KAIST), Guseong, Yuseong, Daejeon, South Korea
Venue:
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
Year:
2008

Citing 2
Cited 3

Empirical measurements of intrabody communication performance under varied physical configurations

Proceedings of the 14th annual ACM symposium on User interface software and technology
A comparative study of wireless communication network configurations for medical applications

IEEE Wireless Communications

Ambient intelligence and wearable computing: Sensors on the body, in the home, and beyond

Journal of Ambient Intelligence and Smart Environments
Collaborative signal processing for action recognition in body sensor networks: a distributed classification algorithm using motion transcripts

Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Ambient intelligence and wearable computing: Sensors on the body, in the home, and beyond

Journal of Ambient Intelligence and Smart Environments

Quantified Score

Hi-index	0.00

Visualization

Abstract

A body sensor network using human body as a communication medium is analyzed and designed to achieve both power-and energy-efficiency. An analysis of the body channel network on frequency, distance, transmitting power and received power is performed. The analysis reveals the star topology consumes less energy than the ad-hoc topology for body channel network. Based on the analysis results, the packet structure for body channel network, with variable payload size that minimizes energy consumption, is designed.