A power harvesting, dynamic and reliable wireless body area networks model deployment for health care applications

Hassine Moungla, N. Touati, A. Mehaoua
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引用次数: 7

Abstract

This paper presents our conducting research and describes a new optimal deployment model for medical wireless body area network (WBAN) sensor devices (without mobility) and the relevant possible trade-offs between coverage, connectivity and network life time. We also integrate the effect of interference in wireless medium, and try to devise many-to-one and many-to-many model, that minimize the interference throughout the network and thus increase signal quality of wireless communication. The decrease in interference also facilitates energy efficiency, by increasing reliability, i.e. success ratio of wireless links. Topologies generated from our proposed model exhibit minimum energy consumption at maximum sensing coverage. The results show that significant improvements of initial deployments using feasible and cost-efficient solutions are possible. Our model leads to significantly optimized initial network deployments which can be subsequently used with other existing optimization techniques in literature. Overall operational lifetime and sensing coverage of WBSNs are strongly improved by our suggested deployment model.
一种用于医疗保健应用的能量收集、动态和可靠的无线体域网络模型部署
本文介绍了我们正在进行的研究,并描述了一种新的医疗无线体域网络(WBAN)传感器设备(无移动性)的最佳部署模型,以及在覆盖范围、连通性和网络寿命之间的相关可能权衡。我们还考虑了无线介质中干扰的影响,尝试设计多对一和多对多模型,使整个网络中的干扰最小化,从而提高无线通信的信号质量。干扰的减少也促进了能源效率,通过提高可靠性,即无线链路的成功率。从我们提出的模型生成的拓扑在最大的传感覆盖范围下显示最小的能量消耗。结果表明,使用可行且具有成本效益的解决方案可以显著改善初始部署。我们的模型可以显著优化初始网络部署,随后可以与文献中的其他现有优化技术一起使用。我们建议的部署模型大大改善了wbsn的总体运行寿命和传感覆盖范围。
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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