The Web of Things: Challenges and Opportunities

Raggett, Dave

doi:10.1109/mc.2015.149

Cited by 95 publications

(45 citation statements)

References 3 publications

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“…In WoT, using normal web application designing tools, the real-world objects or things can be represented as resources that can be accessible via web technologies. This will minimize the need of waiting for other new components in networks, installing new infrastructure, or to redesigning the way we build our applications [53].…”

Section: Packet Drop At Apmentioning

confidence: 99%

Software-Defined Wireless Networking Opportunities and Challenges for Internet-of-Things: A Review

Sood

Xiang

2016

IEEE Internet Things J.

196

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With the emergence of Internet of Things (IoT), there is now growing interest to simplify wireless network controls. This is a very challenging task, comprising information acquisition, information analysis, decision making and action implementation on large scale IoT networks. Resulting in research to explore the integration of Software Defined Networking (SDN) and IoT for a simpler, easier, and strain less network control. SDN is a promising novel paradigm shift which has the capability to enable a simplified and robust programmable wireless network serving an array of physical objects and applications. This review article starts with the emergence of SDN and then highlights recent significant developments in the wireless and optical domains with the aim of integrating SDN and IoT. Challenges in SDN and IoT integration are also discussed from both security and scalability perspectives.

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Section: Packet Drop At Apmentioning

confidence: 99%

Software-Defined Wireless Networking Opportunities and Challenges for Internet-of-Things: A Review

Sood

Xiang

2016

IEEE Internet Things J.

196

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“…Fog Computing is a highly virtualized platform that provides compute, storage, and networking services between end devices and cloud computing data centers [40][41][42]. Fog computing systems are key systems for the Internet of Things, they can control for example smart grids or traffic lights [31,43]. We have completed a pattern for fog computing [11].…”

Section: Fog Computingmentioning

confidence: 99%

Modeling and Security in Cloud Ecosystems

et al. 2016

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Clouds do not work in isolation but interact with other clouds and with a variety of systems either developed by the same provider or by external entities with the purpose to interact with them; forming then an ecosystem. A software ecosystem is a collection of software systems that have been developed to coexist and evolve together. The stakeholders of such a system need a variety of models to give them a perspective of the possibilities of the system, to evaluate specific quality attributes, and to extend the system. A powerful representation when building or using software ecosystems is the use of architectural models, which describe the structural aspects of such a system. These models have value for security and compliance, are useful to build new systems, can be used to define service contracts, find where quality factors can be monitored, and to plan further expansion. We have described a cloud ecosystem in the form of a pattern diagram where its components are patterns and reference architectures. A pattern is an encapsulated solution to a recurrent problem. We have recently expanded these models to cover fog systems and containers. Fog Computing is a highly-virtualized platform that provides compute, storage, and networking services between end devices and Cloud Computing Data Centers; a Software Container provides an execution environment for applications sharing a host operating system, binaries, and libraries with other containers. We intend to use this architecture to answer a variety of questions about the security of this system as well as a reference to design interacting combinations of heterogeneous components. We defined a metamodel to relate security concepts which is being expanded.

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“…Most of them provide the ability to connect devices using web protocols, collect and store readings, generate alarms and actions based on the data received, and create some kind of data analysis such as aggregating the data and displaying it to users represented as graphs, pie charts etc. Examples of such platforms are Axeda 1 , Carriots 2 , Evrythng 3 and others.…”

Section: Related Workmentioning

confidence: 99%

“…Unlike IoT which only assumes device connectivity on the IP layer, Web of Things assumes that devices are accessible using Web protocols like HTTP. In [3,4] the authors define WoT devices as firstclass citizens of the Web. They consider WoT as a refinement of the IoT by integrating smart things not only into the Internet (the network), but into the Web (the application layer).…”

Section: Introductionmentioning

confidence: 99%

Negotiation in Internet of Things

Misura

Žagar

2016

Automatika

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Original scientific paperInternet of things as a market, and the number of connected devices in particular is growing very rapidly. Currently, application owners deploy new devices for each application that needs the data. As the number of sensors increases, it will become much more practical to reuse existing sensors for new applications than to deploy new ones. But the problem is that the application owner needs to agree with device owners on conditions under which will the data be made available to applications. Doing this manually is very expensive both in terms of money and time. We implemented a system that does this automatically using negotiating agents. The system was tested on simulated environments and showed that it can mediate between devices and applications with reasonable performance. Key words: Internet of things, Negotiation, Software AgentsPregovaranje u Internetu stvari. Internet stvari kao tržište, a posebno broj spojenih ure aja, raste vrlo brzo. Danas vlasnici aplikacija postavljaju nove ure aje za svaku aplikaciju kojoj su potrebni podatci. Kako se povećava broj senzora u upotrebi, postaje sve praktičnije koristiti postojeće senzore nego postavljati nove. Problem predstavljačinjenica da se vlasnik aplikacije mora dogovoriti s vlasnicima ure aja o uvjetima pod kojimaće aplikacijama biti dozvoljeno dohvaćanje izmjerenih vrijednosti. Pojedinačno je dogovaranje izme u vlasnika za svaki ure aj skupo i sporo. Izgradili smo sustav koji automatizira ovaj proces pomoću programskih agenata koji pregovaraju. Sustav je ispitan na simuliranom okruženju i pokazuje da može posredovati izme u ure aja i aplikacija s razumnim performansama.

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The Web of Things: Challenges and Opportunities

Cited by 95 publications

References 3 publications

Software-Defined Wireless Networking Opportunities and Challenges for Internet-of-Things: A Review

Software-Defined Wireless Networking Opportunities and Challenges for Internet-of-Things: A Review

Modeling and Security in Cloud Ecosystems

Negotiation in Internet of Things

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