Multi-Objective Optimization of a Wireless Body Area Network for Varying Body Positions

作     者：Januszkiewicz, Lukasz Di Barba, Paolo Hausman, Slawomir 

作者机构：Lodz Univ Technol Inst Elect PL-90924 Lodz Poland Univ Pavia Dept Elect Comp & Biomed Engn I-27100 Pavia Italy 

出 版 物：《SENSORS》 (传感器)

年 卷 期：2018年第18卷第10期

页      面：3406-3406页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

主　　题：WBAN wearable antenna human body model FDTD analysis evolutionary optimization algorithms computational electromagnetics 

摘      要：The purpose of this research was to improve the performance of a wireless body area sensor network, operating on a person in the seated and standing positions. Optimization-focused on both the on-body transmission channel and off-body link performance. The system consists of three nodes. One node (on the user s head) is fixed, while the positions of the other two (one on the user s trunk and the other on one leg) with respect to the body (local coordinates) are design variables. The objective function used in the design process is characterized by two components: the first controls the wireless channel for on-body data transmission between the three sensor nodes, while the second controls the off-body transmission between the nodes and a remote transceiver. The optimal design procedure exploits a low-cost Estra, which is an evolutionary strategy optimization algorithm linked with Remcom XFdtd, a full-wave Finite-Difference Time-Domain (FDTD) electromagnetic field analysis package. The Pareto-like approach applied in this study searches for a non-dominated solution that gives the best compromise between on-body and off-body performance.