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Analysis of Wireless Video Sensor Network Platforms over AJAX, CGI and WebRTC.

机译：通过AJAX，CGI和WebRTC分析无线视频传感器网络平台。

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摘要

Since the inception of Internet of Things (IoT) framework, the amount of interaction between electronic devices has tremendously increased and the ease of implementing software between such devices has bettered. Such data exchange between devices, whether between Node to Server or Node to Node, has paved way for creating new business models. Wireless Video Sensor Network Platforms are being used to monitor and understand the surroundings better. Both hardware and software supporting such devices have become much smaller and yet stronger to enable these. Specifically, the invention of better software that enable Wireless data transfer have become more simpler and lightweight technologies such as HTML5 for video rendering, Common Gateway Interface(CGI) scripts enabling interactions between client and server and WebRTC from Google for peer to peer interactions. The role of web browsers in enabling these has been vastly increasing.;Although HTTP is the most reliable and consistent data transfer protocol for such interactions, the most important underlying challenge with such platforms is the performance based on power consumption and latency in data transfer.;In the scope of this thesis, two applications using CGI and WebRTC for data transfer over HTTP will be presented and the power consumption by the peripherals in transmitting the data and the possible implications for those will be discussed.
机译：自从物联网（IoT）框架问世以来，电子设备之间的交互量已大大增加，并且此类设备之间实现软件的便利性也有所提高。设备之间的这种数据交换，无论是节点到服务器之间还是节点到节点之间的交换，都为创建新的业务模型铺平了道路。无线视频传感器网络平台用于更好地监视和了解周围环境。支持此类设备的硬件和软件都变得越来越小，但功能更强大。具体而言，能够进行无线数据传输的更好软件的发明变得更加简单和轻巧，例如用于视频渲染的HTML5，启用客户端和服务器之间的通用网关接口（CGI）脚本以及来自Google的WebRTC之间的对等交互。 Web浏览器在实现这些功能方面的作用已大大增加。尽管HTTP是此类交互的最可靠和一致的数据传输协议，但此类平台最重要的潜在挑战是基于功耗和数据传输延迟的性能。在本文的范围内，将介绍两个使用CGI和WebRTC进行HTTP数据传输的应用程序，并讨论外围设备在传输数据时的功耗及其可能的含义。

著录项

  • 作者

    Rentala, Sri Harsha.;

  • 作者单位

    Arizona State University.;

  • 授予单位 Arizona State University.;
  • 学科 Computer engineering.
  • 学位 M.S.
  • 年度 2016
  • 页码 67 p.
  • 总页数 67
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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