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Advanced approaches for wireless sensor network applications and cloud analytics

机译:无线传感器网络应用程序和云分析的高级方法

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Although wireless sensor network applications are still at early stages of development in the industry, it is obvious that it will pervasively come true and billions of embedded microcomputers will become online for the purpose of remote sensing, actuation and sharing information. According to the estimations, there will be 50 billion connected sensors or things by the year 2020. As we are developing first to market wireless sensor-actuator network devices, we have chance to identify design parameters, define technical infrastructure and make an effort to meet scalable system requirements. In this manner, required research and development activities must involve several research directions such as massive scaling, creating information and big data, robustness, security, privacy and human-in-the-loop. In this study, wireless sensor networks and Internet of things concepts are not only investigated theoretically but also the proposed system is designed and implemented end-to-end. Low rate wireless personal area network sensor nodes with random network coding capability are used for remote sensing and actuation. Low throughput embedded IP gateway node is developed utilizing both random network coding at low rate wireless personal area network side and low overhead websocket protocol for cloud communications side. Service-oriented design pattern is proposed for wireless sensor network cloud data analytics.
机译:尽管无线传感器网络应用仍处于行业发展的早期阶段,但是很显然,无线传感器网络的应用将广泛实现,数十亿台嵌入式微型计算机将变为在线状态,以实现遥感,启动和共享信息的目的。根据估计,到2020年,将有500亿个已连接的传感器或事物。随着我们首先开发将无线传感器致动器网络设备推向市场,我们将有机会确定设计参数,定义技术基础架构并努力满足可扩展的系统要求。以这种方式,所需的研发活动必须涉及多个研究方向,例如大规模扩展,创建信息和大数据,健壮性,安全性,隐私性和人在环环相扣。在这项研究中,不仅对无线传感器网络和物联网概念进行了理论研究,而且对所提出的系统进行了端到端的设计和实现。具有随机网络编码能力的低速率无线个人局域网传感器节点用于遥感和启动。低吞吐量嵌入式IP网关节点是利用低速率无线个人局域网端的随机网络编码和云通信端的低开销Websocket协议开发的。提出了面向服务的设计模式,用于无线传感器网络云数据分析。

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