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Is Internet-Of-Things (IOT) Related to What’s Called "Pervasive Computing"?

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The pervasive computing and Internet of Things communities examine similar problems and face similar challenges. Some might argue that pervasive computing focuses more on HCI issues, while IoT focuses more on connecting the devices, yet both communities share largely overlapping technical interests and goals. Both are interested in issues beyond just technology, such as privacy, security, and ethics, and both are pursuing similar use cases. Ebling thus encourages the two communities to join forces and work together to achieve common goals.

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We are approaching 20 years since Kevin Ashton coined the term Internet-of-Things (IoT) as part of a 1999 presentation to Proctor & Gamble about incorporating RFID tags within their supply chain to “empower computers with their own means of gathering information, so they can see, hear and smell the world for themselves, in all its random glory”. It built on earlier ideas, most notably Mark Weiser’s vision for ubiquitous computing described in his 1991 article for Scientific American (The Computer for the 21st Century) in which he described a future world composed of numerous interconnected computers that were designed to “weave themselves into the fabric of everyday life until they are indistinguishable from it” [98]. Elsewhere, in the late 90’s researchers working in Artificial Intelligence (AI) had envisioned the concept of ‘embedded-agents’ whereby AI processes could be made computationally small enough to be integrated into the type of ubiquitous computing and Internet-of-Things devices that Weiser and Ashton had described, opening the possibility for so-called Intelligent Environments or Ambient Intelligence. In these environments the intelligence was distributed to devices making them smart, robust and scalable. The most noteworthy movements were Intelligent Environments, which arose in Europe driven by researchers such as Juan Carlos Augusto of the University of Middlesex (one of the co-founders of the JAISE journal) and Victor Callaghan (one of the co-founders of the International Intelligent Environments Conference series) of the Essex University and ambient intelligence which was originally proposed by the late Eli Zelkha of Palo Alto Ventures in the USA. All these researchers were visionaries, able to imagine a future that had yet to exist, but which they described in such credible terms as to motivate a generation of researchers to work towards bringing these visions to reality, adding numerous innovation of their own as they completed their work

Industry was quick to recognise the potential for these technologies to radically disrupt the market by offering customers services and products that had hitherto not existed, and the consequent challenges of how shape the enormous possibilities into viable products which customers would want and buy.

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things which is composite of numerous virtual composition areas. With CAN-CSM devices are dynamically recombined as computing component by virtual devices recombination technology, and a number of devices to form a virtual computing "system" (Zhang Yunyong, 2003). Lots of technologies are used, such as description of equipment capacity, the ability search, execution and implementation of effective assessment, task distribution, to implement users DCS migration, services, calculation, reflecting the general proper calculation of "computing to adapt human" characteristics in environment for ubiquitous computing of internet things. In addition, the paper also discuss CAN-CSM security issues and future work. Pervasive computing of internet of things is a new cross-research, and it will bring innovation to internet services and it will play a more important role in the next generation of computing technology and in the production and life of human. In the same time, it bringing new challenges and opportunities

After restructuring and building a good "computing area network", the various heterogeneous intelligent computing devices, "integration" of the computer, how to achieve interoperability of components and intercommunication? The key is how to unify description of the device and user needs. The capacity management mechanism is needed for CAN-CSM, and with the ability matching algorithm appropriate device are searched according to user needs (Yu Ying-qun, 2006).

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In any event, an additional problem in generalising the results of conceptual modelling quality is that the studies are performed on conceptual models for different kinds of application systems. For example, a UML class model could be used to model application programs, databases, datawarehouses, web applications, pervasive information systems, ubiquitous application systems and so on. Any effort to categorise research in conceptual modelling quality must therefore explicitly consider the application domain that is used within the research context.

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Yu Ying-qun,Cai Xiao-dong On the instability of slotted ALOHA with capture[J]. IEEE Trans on Wireless Communications,2006,5(2):257-261.

Zhang Yunyong, Liu Jinde. Mobile agent technology [M]. Beijing: Tsinghua University Press , 2003:20-34.

Dejan Molojicic.Mobile Agent application from Trend Wars.IEEE concurrency.

Huang hai-ping,Wang ru_chuan,Sun li-juan,Jiang hao.Pervasive Computing scence Apperceive Model Based on Agent & Wireless Sensor Networks[J] Journal of Nanjing University of Posts and Telecommunications.2008. vol. 28 No.2

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