降低生物效应的人体传感器网络分布式功率控制博弈论模型

Hongliang Ren, M. Meng
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引用次数: 3

摘要

在目前将无线传感器网络应用于人体监测的发展趋势中,射频辐射对人体,特别是长期、密集、近距离的监测可能产生的不良影响应得到认真的解决。本文首先研究了传感器节点射频传输引起的生物效应,包括热效应和非热效应。研究了近场和远场生物效应模型与比吸收率(SAR)的关系。然后提出了一种生物效应度量来评估不良的生物效应。在确定了可以减少通信系统中有害健康影响的因素之后,我们提出了分布式功率控制的博弈论模型来分析系统的生物效应。将生物效应成本函数引入到网络效用中,作为从健康效应角度评价无线身体传感器网络性能的度量。本工作的两个主要贡献是引入了标准化的生物效应度量,等效吸收和生物效应系数(CAB)来评估和设计通信协议,并采用了一种新的博弈论功率控制模型来平衡基于cdma的无线身体传感器网络的生物效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Game Theoretic Model of Distributed Power Control for Body Sensor Networks to Reduce Bioeffects
In the prevailing development of applying wireless sensor networks to human body monitoring, it should be carefully addressed on the possible adverse effects caused by radio frequency radiation to the body, especially for long term, intensive and close inspection. This paper first investigates the bioeffects caused by radiofrequency transmission of sensor node, including thermal effects and athermal effects. The bioeffects model is studied in both near-field and far-field, in relation to specific absorption rate (SAR). A bioeffects metric is then proposed to evaluate the adverse biological effects. After identifying the factors that can reduce the adverse health effects in the communication system we propose a game theoretic model of distributed power control to analyze bioeffects for the system. The bioeffects cost function is introduced to the network utility as a metric to evaluate the performance of wireless body sensor networks in terms of health effect consideration. The two main contributions of this work are that a normalized bioeffects metric, equivalent coefficient-of-absorption-and-bioeffects (CAB), is introduced to evaluate and design the communication protocols, and a novel game theoretic power control model is employed to balance the bioeffects for CDMA-based wireless body sensor networks.
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