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Analysis of Energy Efficient Routing Protocols for Implementation of Ubiquitous Health System

机译:普遍存在卫生系统实施节能路由协议分析

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The innovative Ubiquitous-Health was born through convergence of medical service, with development of up to date information technologies and ubiquitous IT. The U-Health can be applied to a variety of special situations for managing functions of each medical center efficiently. This paper focuses on estimation of various routing protocols for implementation of U-health monitoring system. In order to facilitate wireless communication over the network, a routing protocol on the network layer is used to establish precise and efficient route between sensor nodes so that information acquired from sensors may be delivered in a timely manner. A route establishment should be considered to minimize overhead, data loss and power consumption because wireless networks for U-health are organized by a large number of sensor nodes which are small in size and have limited processing power, memory and battery life. In this paper a overview of wireless sensor network technologies commonly known is described as well as evaluation of three multi hop routing protocols which are flooding, gossiping and modified low energy adaptive clustering hierarchy(LEACH) for use with these networks using TOSSIM simulator. As a result of evaluation the integrated wireless sensor board was developed in particular. The board is embedded device based on AVR128 porting TinyOS. Also it employs bio sensor measures blood pressure, pulse frequency and ZigBee module for wireless communication. This paper accelerates the digital convergence age through continual research and development of technologies related the U-Health.
机译:创新的无处不在健康是通过医疗服务的融合来源的,发展迄今为止的信息技术和普遍存在。 U-Health可以应用于各种特殊情况,以有效地管理每个医疗中心的功能。本文侧重于估计各种路由协议,以实现U-Health监控系统。为了便于通过网络的无线通信,网络层上的路由协议用于在传感器节点之间建立精确和有效的路由,从而可以及时地传送从传感器获取的信息。应考虑路线建立以最小化开销,数据丢失和功耗,因为通过大量较小的传感器节点组织了U-Health的无线网络,并且具有有限的处理电源,存储器和电池寿命。在本文中,描述了通常已知的无线传感器网络技术的概述以及对使用Tossim模拟器的这些网络使用的三种多跳路由协议的评估,以及用于使用Tossim模拟器的网络的泛洪,闲向和修改的低能量自适应聚类层次结构。由于评估结果,特别是综合无线传感器板。该板是基于AVR128的嵌入式设备,移植Tinyos。此外,它采用BIO传感器测量血压,脉冲频率和ZigBee模块进行无线通信。本文通过持续的研究和开发相关的U-Health加速了数字融合年龄。

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