Adaptive Control Strategies for Task Scheduler Using Internet of Things

Adaptive Control Strategies for Task Scheduler Using Internet of Things

Adiraju Prashantha Rao (Anurag Group of Institutions, India)
Copyright: © 2018 |Pages: 12
DOI: 10.4018/978-1-5225-2947-7.ch010
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Abstract

The Internet of Things comprises billions of devices that can sense, communicate, compute and potentially actuate. The data generated by the Internet of Things are valuable and have the potential to drive innovative and novel applications which are one of the sources of Big Data. IoT connects real world objects to the internet using tiny sensors or embedded devices. One of the biggest advantages of the IoT is the increasing number of low-cost sensors available for many different kinds of functionalities. These sensors include a variety of devices and solutions. The trend is moving towards multi-sensor platforms that incorporate several sensing elements. In such environment, discovering, identifying, connecting and configuring sensor hardware are critical issues. The cloud-based IoT platforms can retrieve data from sensors. Therefore, IoT is a comprehensive inter-disciplinary technology, So, this chapter presents Better scheduling decisions should result in saving the time, utilization of resources and enable to meet the time constraints.
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Background

Internet of Things

Zhu Xm, Lu PZ are presented several definitions about the Internet of Things in journal computer science and Technology (2009). One that is in use widely today is provided by U.S National Intelligence Council:

The Internet of Things is the general idea of things, especially everyday objects that are readable, recognizable, locatable, addressable, and controllable via the internet-whether via RFID, wireless LAN, wide-area network, or other means.

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