The Internet of Things refers to uniquely identifiable objects (things) and their virtual representations in an Internet-like structure. The term Internet of Things was first used by Kevin Ashton in 1999. The concept of the Internet of Things first became popular through theAuto-ID Center and related market analysts publications. Radio-frequency identification (RFID) is often seen as a prerequisite for the Internet of Things. If all objects of daily life were equipped with radio tags, they could be identified and inventoried by computers.However, unique identification of things may be achieved through other means such as barcodes or 2D-codes as well.
With all objects in the world equipped with minuscule identifying devices, daily life on Earth would undergo a transformation.Companies would not run out of stock or waste products, as involved parties would know which products are required and consumed.Mislaid and stolen items would be easily tracked and located, as would the people who use them. Your ability to interact with objects could be altered remotely based on your current status and existing user agreements.
Ashton’s original definition was: “Today computers—and, therefore, the Internet—are almost wholly dependent on human beings for information. Nearly all of the roughly 50 petabytes (a petabyte is 1,024 terabytes) of data available on the Internet were first captured and created by human beings—by typing, pressing a record button, taking a digital picture or scanning a bar code. Conventional diagrams of the Internet … leave out the most numerous and important routers of all – people. The problem is, people have limited time, attention and accuracy—all of which means they are not very good at capturing data about things in the real world. And that’s a big deal. We’re physical, and so is our environment … You can’t eat bits, burn them to stay warm or put them in your gas tank. Ideas and information are important, but things matter much more. Yet today’s information technology is so dependent on data originated by people that our computers know more about ideas than things. If we had computers that knew everything there was to know about things—using data they gathered without any help from us—we would be able to track and count everything, and greatly reduce waste, loss and cost. We would know when things needed replacing, repairing or recalling, and whether they were fresh or past their best. The Internet of Things has the potential to change the world, just as the Internet did. Maybe even more so.” 
Different definitions for the Internet of Things have appeared and the term is evolving as the technology and implementation of the ideas move forward. Here are several partially overlapping definitions:
- an action plan for the European Union to introduce the governance based on the Internet of Things.
- A global network infrastructure, linking physical and virtual objects through the exploitation of data capture and communication capabilities. This infrastructure includes existing and evolving Internet and network developments. It will offer specific object-identification, sensor and connection capability as the basis for the development of independent cooperative services and applications. These will be characterised by a high degree of autonomous data capture, event transfer, network connectivity and interoperability.
- A world where physical objects are seamlessly integrated into the information network, and where the physical objects can become active participants in business processes. Services are available to interact with these ‘smart objects’ over the Internet, query and change their state and any information associated with them, taking into account security and privacy issues.
- ETP EPOSS
- The network formed by things/objects having identities, virtual personalities operating in smart spaces using intelligent interfaces to connect and communicate with the users, social and environmental contexts.
- Internet of Things (IoT) is an integrated part of Future Internet and could be defined as a dynamic global network infrastructure with self configuring capabilities based on standard and interoperable communication protocols where physical and virtual ‘things’ have identities, physical attributes, and virtual personalities and use intelligent interfaces, and are seamlessly integrated into the information network. In the IoT, ‘things’ are expected to become active participants in business, information and social processes where they are enabled to interact and communicate among themselves and with the environment by exchanging data and information ‘sensed’ about the environment, while reacting autonomously to the ‘real/physical world’ events and influencing it by running processes that trigger actions and create services with or without direct human intervention. Interfaces in the form of services facilitate interactions with these ‘smart things’ over the Internet, query and change their state and any information associated with them, taking into account security and privacy issues.
- The future Internet of Things links uniquely identifiable things to their virtual representations in the Internet containing or linking to additional information on their identity, status, location or any other business, social or privately relevant information at a financial or non-financial pay-off that exceeds the efforts of information provisioning and offers information access to non-predefined participants. The provided accurate and appropriate information may be accessed in the right quantity and condition, at the right time and place at the right price. The Internet of Things is not synonymous with ubiquitous / pervasive computing, the Internet Protocol (IP), communication technology, embedded devices, its applications, the Internet of People or the Intranet / Extranet of Things, yet it relies on all of these approaches. The association of intelligent virtual representations (e.g.: called avatars and embedded, hosted in the Cloud or centralized) and physical objects are sometimes called “cyberobjects”. Cyberobjects are then considered as autonomous actors of the value chains they are involved in: able to perceive, analyze and react in various contexts; although acting under the guidance of human beings as programmed. Cyberobjects can then be assistants, advisors, decision makers, etc; and can be considered as true Agent (economics), helping to change existing economic or organization models. In such a scenario, the conception of avatars refers to artificial intelligence and Complex system.
Unique addressability of things
An alternative view, from the world of the Semantic Web focuses instead on making all things (not just those electronic, smart, or RFID-enabled) addressable by the existing naming protocols, such as URI. The objects themselves do not converse, but they may now be referred to by other agents, such as powerful centralized servers acting for their human owners.
The next generation of Internet applications using Internet Protocol Version 6 (IPv6) would be able to communicate with devices attached to virtually all human-made objects because of the extremely large address space of the IPv6 protocol. This system would therefore be able to identify any kind of object.
A combination of these ideas can be found in the current GS1/EPCglobal EPC Information Services (EPCIS) specifications. This system is being used to identify objects in industries ranging from Aerospace to Fast Moving Consumer Products and Transportation Logistics.
Trends and characteristics
Ambient intelligence and autonomous controlare not part of the original concept of the Internet of Things. Ambient intelligence and autonomous control do not necessarily require Internet structures, either. However, there is a shift in research to integrate the concepts of the Internet of Things and autonomous control.In the future the Internet of Things may be a non-deterministic and open network in which auto-organized or intelligent entities (Web services, SOA components), virtual objects (avatars) will be interoperable and able to act independently (pursuing their own objectives or shared ones) depending on the context, circumstances or environments.
Embedded intelligence presents an “AI-oriented” perspective of IoT, which can be more clearly defined as: leveraging the capacity to collect and analyze the digital traces left by people when interacting with widely deployed smart things to discover the knowledge about human life, environment interaction, as well as social connection/behavior.
The system will likely be an example of event-driven architecture, bottom-up made (based on the context of processes and operations, in real-time) and will consider any subsidiary level. Therefore, model driven and functional approaches will coexist with new ones able to treat exceptions and unusual evolution of processes (Multi-agent systems, B-ADSc, etc.).
In an Internet of Things, the meaning of an event will not necessarily be based on a deterministic or syntactic model but would instead be based on the context of the event itself: this will also be a semantic web. Consequently, it will not necessarily need common standards that would not be able to address every context or use: some actors (services, components, avatars) will accordingly be self-referenced and, if ever needed, adaptive to existing common standards (predicting everything would be no more than defining a “global finality” for everything that is just not possible with any of the current top-down approaches and standardizations).
In semi-open or closed loops (i.e. value chains, whenever a global finality can be settled) it will therefore be considered and studied as aComplex system due to the huge number of different links and interactions between autonomous actors, and its capacity to integrate new actors. At the overall stage (full open loop) it will likely be seen as a chaotic environment (since systems have always finality).
The Internet of objects would encode 50 to 100 trillion objects, and be able to follow the movement of those objects. Human beings in surveyed urban environments are each surrounded by 1000 to 5000 trackable objects.
In this Internet of Things, made of billions of parallel and simultaneous events, time will no more be used as a common and linear dimension but will depend on each entity (object, process, information system, etc.). This Internet of Things will be accordingly based on massive parallel IT systems (Parallel computing).
In an Internet of Things, the precise geographic location of a thing—and also the precise geographic dimensions of a thing—will be critical. Currently, the Internet has been primarily used to manage information processed by people. Therefore, facts about a thing, such as its location in time and space, have been less critical to track because the person processing the information can decide whether or not that information was important to the action being taken, and if so, add the missing information (or decide to not take the action). (Note that some things in the Internet of Things will be sensors, and sensor location is usually important.) The GeoWeb andDigital Earth are promising applications that become possible when things can become organized and connected by location. However, challenges that remain include the constraints of variable spatial scales, the need to handle massive amounts of data, and an indexing for fast search and neighbour operations. If in the Internet of Things, things are able to take actions on their own initiative, this human-centric mediation role is eliminated, and the time-space context that we as humans take for granted must be given a central role in this information ecosystem. Just as standards play a key role in the Internet and the Web, geospatial standards will play a key role in the Internet of Things.
Not all elements in an Internet of Things will necessarily run in a global space. Think, for instance, of domotics running inside a Smart House. While the same technologies are used as elsewhere, the system might only be running on and available via a local network.
Internet of Things frameworks might help support the interaction between “things” and allow for more complex structures like Distributed computing and the development of Distributed applications. Currently, Internet of Things frameworks seem to focus on real time data logging solutions like Pachube: offering some basis to work with many “things” and have them interact. Future developments might lead to specific Software development environments to create the software to work with the hardware used in the Internet of Things.
Alcatel-Lucent touchatag service and Violet’s Mirror gadget provide a pragmatic consumer oriented approach to the Internet of Things by which a developer can link real world items to the online world using RFID tags and QR Codes. The Connected Home offering ofAlertMe is based on ultra-low-power ZigBee-enabled devices scattered around the home, which are turned into internet devices via the proxy of a home gateway. Arrayent, Inc. is a B2B company, internet-connecting consumer products (i.e. thermostats, security systems, toys, healthcare products) to smartphones, tablets, and web browsers. Pachube, built by Connected Environments Ltd,provides data management infrastructure for sensors, devices and environments, and describes itself as “a convenient, secure & scalable platform that helps you connect to & build the ‘internet of things’”. Nimbits, is an open source data historian server built on cloud computing architecture that provides connectivity between devices using data points.. Paraimpu, is a social tool with the aim to allow people to connect, use, share and compose Things, services and devices to create personalized applications in the field of the Internet of Things.
MISOLIMA developed its Digital One Line Link or DOLLx8 Embedded Network system since 1991, where version 3.18 (as of 2011) is designed to address more than 28 trillion IoT objects. DOLLx8 for IoT are now due to be implemented into world first MISOLIMA eco-house system based on IoT as base technology where home, office, vehicle, alarm systems, sensors, controls and devices are all integrated into one single system.
- ^ Kevin Ashton: That ‘Internet of Things’ Thing. In: RFID Journal, 22 July 2009. Abgerufen am 8 April 2011.
- ^ Analyst Geoff Johnson interviewed by Sue Bushell inComputerworld, on July 24, 2000 (“M-commerce key to ubiquitous internet”)
- ^ a b P. Magrassi, T. Berg, A World of Smart Objects, Gartner research report R-17-2243, 12 August 2002 
- ^ Commission of the European Communities (2009-06-18).“Internet of Things — An action plan for Europe” (PDF). COM(2009) 278 final.
- ^ P. Magrassi, A. Panarella, N. Deighton, G. Johnson,Computers to Acquire Control of the Physical World, Gartner research report T-14-0301, 28 September 2001
- ^ a b Casaleggio Associati The Evolution of Internet of Things2011
- ^ Kevin Ashton: That ‘Internet of Things’ Thing. In: RFID Journal, 22 July 2009. Abgerufen am 8 April 2011.
- ^ “Casagras IOT Definition”. Casagras. Retrieved 2011-03-18.
- ^ “SAP IOT Definition”. SAP Research. Retrieved 2011-03-18.
- ^ “ETP EPOSS IOT Definition”. ETP EPOSS. Retrieved 2011-03-18.
- ^ “Internet of Things Strategic Research Roadmap”. CERP-IoT. Retrieved 2011-04-28.
- ^ Uckelmann, Dieter; Harrisson, Mark; Michahelles, Florian, eds. (2011). “An Architectural Approach Towards the Future Internet of Things”. Architecting the Internet of Things. Berlin, Germany: Springer. p. 8. DOI:10.1007/978-3-642-19157-2. ISBN 978-3-642-19156-5. Retrieved 2011-04-28.
- ^ a b Gautier, Philippe; Gonzalez, Laurent (2011). L’Internet des Objets… Internet, mais en mieux. foreword by Gérald Santucci (European commission), postword by Daniel Kaplan (FING) and Michel Volle. Paris: AFNOR editions. ISBN 978-2-12-465316-4.
- ^ Dan Brickley et al., c. 2001
- ^ Waldner, Jean-Baptiste (2008). Nanocomputers and Swarm Intelligence. London: [[ISTE (publisher)|]]. pp. p227-p231.ISBN 1-84704-002-0.
- ^ http://www.gs1.org/gsmp/kc/epcglobal/epcis
- ^ Miles, Stephen B. (2011). RFID Technology and Applications. London: Cambridge University Press. pp. 6–8. ISBN 978-0-521-16961-5.
- ^ Uckelmann, Dieter; Isenberg, Marc-André; Teucke, Michael;Halfar, Harry; Scholz-Reiter, Bernd (2010). “An integrative approach on Autonomous Control and the Internet of Things”. In Ranasinghe, Damith; Sheng, Quan; Zeadally, Sherali. Unique Radio Innovation for the 21st Century: Building Scalable and Global RFID Networks. Berlin, Germany: Springer. pp. 163–181. ISBN 978-3-642-03461-9. Retrieved 2011-04-28.
- ^ “Living with Internet of Things, The Emergence of Embedded Intelligence (CPSCom-11)”. Bin Guo. Retrieved 2011-09-06.
- ^ Philippe GAUTIER, « RFID et acquisition de données évènementielles : retours d’expérience chez Bénédicta », pages 94 à 96, Systèmes d’Information et Management – revue trimestrielle N°2 Vol. 12, 2007, ISSN 1260-4984 / ISBN 978-2-7472-1290-8, éditions ESKA. 
- ^ “3 questions to Philippe GAUTIER, by David Fayon, march 2010″
- ^ Waldner, Jean-Baptiste (2007). Nanoinformatique et intelligence ambiante. Inventer l’Ordinateur du XXIeme Siècle. London: Hermes Science. pp. p254. ISBN 2-7462-1516-0.
- ^ Janusz Bucki, “L’organisation et le temps” (in French)
- ^ Open Geospatial Consortium, “OGC® Abstract Specification”
- ^ Mike Botts et al, “OGC® Sensor Web Enablement: Overview And High Level Architecture”
- ^ “Home”. touchatag. Retrieved 2011-03-18.
- ^ “The Smart Home”. alertme. Retrieved 2011-09-14.
- ^ “Low Cost Gateway-Arrayent”. Arrayent.com. 2010-01-26. Retrieved 2011-03-18.
- ^ “data infrastructure for the Internet of Things”. Pachube. Retrieved 2011-03-18.
- ^ “Connected Environments Ltd”. Connectedenvironments.com. Retrieved 2011-03-18.
- ^ “free, social and open source internet of things.”. Nimbits. Retrieved 2012-05-10.
- ^ “Top 10 Internet of Things Developments of 2010″. Readwriteweb.com. 2010-12-15. Retrieved 2011-03-18.
- ^ “Paraimpu, a social tool for the Web of Things.”. Paraimpu. Retrieved 2012-05-28.
- ^ Anne Selene (March 2011). “The first Thai-developed digital embedded network is here”. Home Technology Ezine.
- The Internet of Things. Institute of Network Cultures. ISBN 90-78146-06-0.
- “Final Report: RFID and the Inclusive Model for the Internet of Things”. Casagras Research.
- “Internet of Things in 2020 – Roadmap for the future”. EPoSS.
- “Disruptive Technologies Global Trends 2025″. National Intelligence Council NIC.
- “ITU Internet Reports 2005: The Internet of Things”.
- “What is the Internet of Things? An Economic Perspective”. Auto-ID Labs.
- “Internet of Things Strategic Research Roadmap: Cluster SRA 2011″. IoT European Research Cluster.
- “IoT-A, Internet of Things – Architecture”. IoT-A consortium.
- “IoT Resource Site”.
- “Internet of Things Council: Thinktank”.
- “Internet of Things Comic”. FP7 ICT ‘Internet of Things Initiative’ and Alexandra Institute.
- “IoT Linkedin Group (Requires approval)”.
- “IERC:IoT European Research Cluster”.
- “Tales of Things – Academic Project”.
- “EnHANTs project at Columbia University”.
- “Internet-of-Things – Think-Tank dedicated blog”.