kumoh national institute of technology
Networked Systems Lab.

Williams Paul Nwadiugwu and Dong-Seong Kim, "Energy-efficient Sensors in Data Centers for Industrial Internet of Things (IIoT)", Internet of Things: Smart Innovation and Usages, 23-24 February, 2018 Birla Institute of Applied Sciences, Bhimtal, Nainital, Uttarakhand, India (Accepted).
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Date : 2017-12-19
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Much have already been said and made of the Industrial Internet of Things (IIoT) and its corresponding cum associated need for a wireless industrial sensor network connectivity. But the sensor networking needs of industrial devices and applications are largely distinct from that which is applicable to the consumer world, with much emphasis on energy consumption and control, throughput reliability, stability of the sensors and their embedded security characteristics. To accomplish a deserving Quality of Service (QoS) of IIoT to which is expected, the data centers must have a guaranteed performance as a backbone of computation resources. This paper implements and investigates energy efficient sensors in the computing resources of data center for Industrial Internet of Things (IIoT). The simulation works investigates the resulting throughput performance and energy consumption profiles and control of the sensor nodes with respect to the three-tier network architecture as one of candidate backbone in IIoT.