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Adaptive Control Strategies for Task Scheduler Using Internet of Things

Adaptive Control Strategies for Task Scheduler Using Internet of Things

Adiraju Prashantha Rao
Copyright: © 2018 |Pages: 12
ISBN13: 9781522529477|ISBN10: 1522529470|EISBN13: 9781522529484
DOI: 10.4018/978-1-5225-2947-7.ch010
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MLA

Rao, Adiraju Prashantha. "Adaptive Control Strategies for Task Scheduler Using Internet of Things." Exploring the Convergence of Big Data and the Internet of Things, edited by A.V. Krishna Prasad, IGI Global, 2018, pp. 129-140. https://doi.org/10.4018/978-1-5225-2947-7.ch010

APA

Rao, A. P. (2018). Adaptive Control Strategies for Task Scheduler Using Internet of Things. In A. Prasad (Ed.), Exploring the Convergence of Big Data and the Internet of Things (pp. 129-140). IGI Global. https://doi.org/10.4018/978-1-5225-2947-7.ch010

Chicago

Rao, Adiraju Prashantha. "Adaptive Control Strategies for Task Scheduler Using Internet of Things." In Exploring the Convergence of Big Data and the Internet of Things, edited by A.V. Krishna Prasad, 129-140. Hershey, PA: IGI Global, 2018. https://doi.org/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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