661 research outputs found

    Wireless body sensor networks for health-monitoring applications

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    This is an author-created, un-copyedited version of an article accepted for publication in Physiological Measurement. The publisher is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/10.1088/0967-3334/29/11/R01

    A comprehensive survey of wireless body area networks on PHY, MAC, and network layers solutions

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    Recent advances in microelectronics and integrated circuits, system-on-chip design, wireless communication and intelligent low-power sensors have allowed the realization of a Wireless Body Area Network (WBAN). A WBAN is a collection of low-power, miniaturized, invasive/non-invasive lightweight wireless sensor nodes that monitor the human body functions and the surrounding environment. In addition, it supports a number of innovative and interesting applications such as ubiquitous healthcare, entertainment, interactive gaming, and military applications. In this paper, the fundamental mechanisms of WBAN including architecture and topology, wireless implant communication, low-power Medium Access Control (MAC) and routing protocols are reviewed. A comprehensive study of the proposed technologies for WBAN at Physical (PHY), MAC, and Network layers is presented and many useful solutions are discussed for each layer. Finally, numerous WBAN applications are highlighted

    A survey on subjecting electronic product code and non-ID objects to IP identification

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    Over the last decade, both research on the Internet of Things (IoT) and real-world IoT applications have grown exponentially. The IoT provides us with smarter cities, intelligent homes, and generally more comfortable lives. However, the introduction of these devices has led to several new challenges that must be addressed. One of the critical challenges facing interacting with IoT devices is to address billions of devices (things) around the world, including computers, tablets, smartphones, wearable devices, sensors, and embedded computers, and so on. This article provides a survey on subjecting Electronic Product Code and non-ID objects to IP identification for IoT devices, including their advantages and disadvantages thereof. Different metrics are here proposed and used for evaluating these methods. In particular, the main methods are evaluated in terms of their: (i) computational overhead, (ii) scalability, (iii) adaptability, (iv) implementation cost, and (v) whether applicable to already ID-based objects and presented in tabular format. Finally, the article proves that this field of research will still be ongoing, but any new technique must favorably offer the mentioned five evaluative parameters.Comment: 112 references, 8 figures, 6 tables, Journal of Engineering Reports, Wiley, 2020 (Open Access

    A Grid Enabled Framework for Ubiquitous Healthcare Service Provisioning

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    Energy efficient hybrid satellite terrestrial 5G networks with software defined features

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    In order to improve the manageability and adaptability of future 5G wireless networks, the software orchestration mechanism, named software defined networking (SDN) with Control and User plane (C/U-plane) decoupling, has become one of the most promising key techniques. Based on these features, the hybrid satellite terrestrial network is expected to support flexible and customized resource scheduling for both massive machinetype- communication (MTC) and high-quality multimedia requests while achieving broader global coverage, larger capacity and lower power consumption. In this paper, an end-to-end hybrid satellite terrestrial network is proposed and the performance metrics, e. g., coverage probability, spectral and energy efficiency (SE and EE), are analysed in both sparse networks and ultra-dense networks. The fundamental relationship between SE and EE is investigated, considering the overhead costs, fronthaul of the gateway (GW), density of small cells (SCs) and multiple quality-ofservice (QoS) requirements. Numerical results show that compared with current LTE networks, the hybrid system with C/U split can achieve approximately 40% and 80% EE improvement in sparse and ultra-dense networks respectively, and greatly enhance the coverage. Various resource management schemes, bandwidth allocation methods, and on-off approaches are compared, and the applications of the satellite in future 5G networks with software defined features are proposed

    The dynamics and strategic analysis of wireless communications technology in the healthcare industry

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    Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 2006.Includes bibliographical references (leaves 98-99).The healthcare industry like other industry is on the cross roads as a result of rising demand for healthcare delivery and service, the industry is facing declining revenues and increasing cost. As a result, one of the industry's strategic arsenal to avert the continual declines in revenue and increases operating cost is to effectively use modern technology in form of wireless computing and communications technology to change the paradigm shift to improve outcomes of clinical services, enhance physician and nurse productivity and work flow efficiency, reduce supply chain cost, improve revenue collection and practice profitability. This report presents the dynamic and strategic analysis of wireless communications technology in the healthcare industry, by first evaluating the wireless technologies, industry standards and regulations, applicable standards for the healthcare information systems and innovative healthcare technologies.(cont.) Based on an in-depth technical analysis of the wireless technology, I analyzed the market and industry by applying frameworks including Porter's 5 forces and The Delta model and system dynamics models presented to illustrate contributing factors affecting new technology adoption in the healthcare industry and a holistic view of a healthcare IT system architecture. Lastly, I analyzed emerging wireless technologies including WiMAX, UltraWide -Band and RFID, and reviewed market opportunities in the healthcare industry through 2011.by John K. Eyemaro.S.M
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