EMI-aware central processing point deployment for wireless networks in hospitals

Nick Majedi, M. Naeem, Khwaja Ahmed Shaharyar, A. Anpalagan
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引用次数: 2

Abstract

In this paper, we introduce an approach to jointly minimize energy consumption of wireless transmitters and the harmful interference on sensitive medical devices, and optimize the central controller placement for collecting data from transmitters. More specifically, a multi-objective non-convex mixed-integer non-linear programming (MINLP) problem is defined and formulated to optimize transmit power of wireless users and central processing point (CPP) deployment along with guaranteeing minimized EMI to comply with the immunity level of medical devices. To solve this problem, an important step is to convexify it. Then we propose the use of a standard branch-and-bound algorithm. Also the program is coded in MATLAB with the help of OPTItoolbox to find the optimal solution. To conduct a numerical result analysis, we considered different cases within a single floor of a hospital and a few scenarios for a two-storey hospital building. Our results show the improvement in throughput and guaranteed immunity for medical devices, when the proposed formulation is deployed along with a branch-and-bound algorithm.
医院无线网络的emi感知中央处理点部署
本文介绍了一种将无线发射机的能量消耗和对敏感医疗设备的有害干扰最小化的方法,并优化了从发射机收集数据的中央控制器位置。更具体地说,定义并制定了一个多目标非凸混合整数非线性规划(MINLP)问题,以优化无线用户的发射功率和中央处理点(CPP)的部署,同时保证最小化EMI以符合医疗设备的免疫水平。要解决这个问题,重要的一步是使它凸化。然后,我们提出了一种标准的分支定界算法。并利用OPTItoolbox在MATLAB中编写程序,求出最优解。为了进行数值结果分析,我们考虑了医院单层内的不同情况和两层医院建筑的几种情况。我们的结果表明,当提出的配方与分支定界算法一起部署时,医疗设备的吞吐量和保证免疫力得到了改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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