How Do You Expect Iot to Change the Way People Operate in Either a Business or Work Sense?
Remember radio-frequency ID tags? They were going to change the world, too. And so, yes, there are technological obstacles between us and this Brave New World. First off, there’s the language barrier. Smart home devices—one of the more developed realms within the Internet of Things—currently speak a Babel of wireless languages, depending on the manufacturer. Your home’s thermostat and HVAC system might communicate in Bluetooth, the fridge and coffeemaker in ZigBee, the locks and blinds in Z-Wave and the smoke detector in WiFi. Plus, making sense of the data produced by these machines—not to mention finding space to store giga-, tera-, exa- and even zettabytes of it—poses a huge challenge. Security is anoth-er ongoing concern. One IT expert recently demonstrated how easily he could hack into a radio-frequency-controlled insulin pump and remotely administer lethal doses to a diabetic. Other experts have claimed that hackers might, if motivated, access the software in smart cars to take control of their speed, brakes and steering. But the tech challenges, as daunting as they are, worry insiders less than the legal, social and regulatory ones. Because these sensor-embedded machines will dramatically increase what we can find out about one another, they could give rise to so-called Big Brother and Little Brother problems. First off, who owns all this data, anyway? Does the deeply personal information collected by your fitness tracker belong to you or to the manufacturer? Should law enforcement be able to access vehicle data in a criminal investigation? Will car-owners want their cars to alert authorities and insurers automatically after every fender-bender? New Cisco-made sensors can, when worn by miners, detect the presence of life-threatening gases. Others can sense if workers (say, in the oil fields or on mega-construction sites) are moving or still—perhaps injured. But they can also help employers determine precisely how and where their employees spend every working moment.
The selected paper is a combination of various disciplines and publications which are all indexed by Scopus wherein the article discusses IoT. IoT articles are classified using key attributes in sequence: the methodology used, general knowledge and applied concepts, and various general exploration topics. By using the Scientometrics method, this method will group the overall terms that appear frequently from the Scopus paper database according to keywords, titles, and abstracts. The resulting data is then studied to understand and distinguish trends that occur in the time span along with the general characteristics of the paper, in the mathematics visual scheme. All various issues that are considered in the paper's methodology selection, their studied and services innovations, and continuing discoveries on the characteristics, concepts, and processes applied to IoT success. Although it only involves scopus indexed paper, this study found a remarkable increase in the number of articles on IoT in each category of the paper. This study also reveals the direction of the regular discipline of knowledge. The use of the Scientometrics method makes the analysis able to focus on the movement of characteristics and IoT themes to researcher's direction that has not found at this time, as a comprehensive guide to further research and industry strategy that is more directed on concepts that support the 4th industrial revolution (Thiesse F., Michahelles F., Schmitt P. 2007).
When combined with other emerging technology, such as AI, VR, AR, robotics, and blockchain (in terms of smart contracts and supply chains), businesses are able to unlock previously untapped revenue, gain new competitive advantages, create new training methods, and produce higher quality products and services.
Srilakshmi A. A comparative study on internet of things ( IoT ) and its applications in smart. Agriculture. 2018;10(2):260–264
Sun Y., Lampe L., Wong V.W.S. Smart meter privacy: exploiting the potential of household energy storage units. IEEE Internet Things J. 2018;5(1)
Tervonen J.K. Survey of business excellence by knowledge gathering for industrial internet-of-things applications Johanna. Hautamäki Marjo Heikkilä Ville Isoherranen’ 2018;17(4):388–410.
Thiesse F., Michahelles F., Schmitt P. 2007. Connecting Mobile Phones to the Internet of Things : A Discussion of Compatibility Issues between EPC and NFC.