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 :
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