DocumentCode
1639946
Title
Power control and localization of wireless body area networks using semidefinite programming
Author
Zhaoyang Zhang ; Jingfang Huang ; Honggang Wang ; Hua Fang
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Massachusetts, Dartmouth, MA, USA
fYear
2015
Firstpage
1
Lastpage
5
Abstract
Wireless Body Area Network (WBAN) is a promising solution for Healthcare applications. However, how to mitigate the interference between WBANs is still challenging. In this paper, we propose a new method to mitigate the interference between WBANs using geometric programming (GP), which is a special optimization that can be transformed to convex optimization. To make sure that all receivers in WBANs can receive the signals sent from their pairwise transmitters, we require that the signal to interference and noise ratio (SINR) for each WBAN must be more than a given threshold. Then we can optimize the overall transmission power to save energy. We also propose to use convex optimization to solve location problem of WBANs based on their received signal strength indicators (RSSI). We set three WBANs to be anchor nodes with known locations, calculate the approximate distance between the transmitters, and then solve the convex problem to get the location for all other WBANs. The effectiveness of the proposed methods has been demonstrated through numerical simulations.
Keywords
biomedical communication; body area networks; convex programming; geometric programming; health care; wireless sensor networks; WBAN localization; convex optimization; geometric programming; healthcare applications; numerical simulations; power control; received signal strength indicators; semidefinite programming; signal to interference noise ratio; wireless body area networks; Body area networks; Estimation; Interference; Noise; Receivers; Transmitters; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Information and Communication Technologies for Ubiquitous HealthCare (Ubi-HealthTech), 2015 2nd International Symposium on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6167-2
Type
conf
DOI
10.1109/Ubi-HealthTech.2015.7203357
Filename
7203357
Link To Document