A framework for inter-thing relationships for programming the social IoT

Khaled, Ahmed E.; Helal, Sumi

doi:10.1109/wf-iot.2018.8355215

Cited by 20 publications

(15 citation statements)

References 6 publications

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“…Identity Parser The inter-thing relationship programming framework proposed in [17] broadens the social IoT thing-level relationships proposed in [7] with service-level relationships that logically and functionally show how the things' services may tie to build applications. Such service-level relationships extend this limited and restricted set of relationships with a new set of concrete relationships for a wider class of applications.…”

Section: Api Enginementioning

confidence: 99%

“…Germany v. Brazil Tonight @ 8PM On Sky Sports The DVR thing finds a match and responds to this AKW to create a new relationship, providing information about itself, its recording service, and a new label for the placeholder button within the app. Using the Atlas architecture, the mobile app concatenates its ability to provide information with the functionality offered by the DVR (recording a TV channel) through an extend relationship [17]. Once this relationship is established, the app enables the placeholder button in each row of the list view, changing their labels to "RECORD".…”

Section: Mobile-app-as-thingmentioning

confidence: 99%

“…However, the exploitation of service-level relationships in the context of social IoT adds an effective programming perspective to such a new evolving paradigm. The inter-thing relationships programming framework [17,18] broadens the social IoT thing-level relationships and utilizes a set of concrete relationships between the offered services to empower a much wider class of meaningful IoT applications.On the other hand, the typical models of the things in smart space are things with sensors that sense and collect environment parameters and things with actuators that perform actions and change the state of the environment. However, smart spaces are not only full of hardware models of things that offer hardware-based services, but also software models [25].…”

mentioning

confidence: 99%

“…Once accepted by the user, the app can adjust its behavior and interface to accommodate new elements for the deduced interaction. In this paper, we utilize the inter-thing relationships programming framework [17,18] and present an extension, Mobile Apps As Things (MAAT), to our Atlas thing architecture [19] targeting mobile app developers and attempting to pave the way for the mobile apps to engage in smart spaces as things in the ecosystem. The extension introduces actionable keywords (AKWs) as programmable and dynamic descriptions that enable potential thing to thing interactions.…”

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confidence: 99%

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confidence: 99%

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Maat

Lindquist

Helal

Khaled

et al. 2019

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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As the Internet of Things (IoT) proliferates, the potential for its opportunistic interaction with traditional mobile apps becomes apparent. We argue that to fully take advantage of this potential, mobile apps must become things themselves, and interact in a smart space like their hardware counterparts. We present an extension to our Atlas thing architecture on smartphones, allowing mobile apps to behave as things and provide powerful services and functionalities. To this end, we also consider the role of the mobile app developer, and introduce actionable keywords (AKWs)-a dynamically programmable description-to enable potential thing to thing interactions. The AKWs empower the mobile app to dynamically react to services provided by other things, without being known a priori by the original app developer. In this paper, we present the mobile-apps-as-things (MAAT) concept along with its AKW concept and programming construct. For MAAT to be adopted by developers, changes to the existing development environments (IDE) should remain minimal to stay acceptable and practically usable, thus we also propose an IDE plugin to simplify the addition of this dynamic behavior. We present details of MAAT, along with the implementation of the IDE plugin, and give a detailed benchmarking evaluation to assess the responsiveness of our implementation to impromptu interactions and dynamic app behavioral changes. We also investigate another study, targeting Android developers, which evaluates the acceptability and usability of the MAAT IDE plugin.At the same time, the opportunistic dynamic development of domain-related applications and scenarios should not only be based on the services offered by the things but also on the relationships that could logically and functionally tie these services together. The social networking concepts started to converge with IoT technologies forming a new paradigm named Social Internet of Things (SIoT) [6,7]. SIoT is about creating a social network of things through a set of social relationships and interactions. The recently proposed ideas on social IoT [11] are to logically link the things according to their identification attributes (e.g., things from same vendor), not on the services offered by these things. However, the exploitation of service-level relationships in the context of social IoT adds an effective programming perspective to such a new evolving paradigm. The inter-thing relationships programming framework [17,18] broadens the social IoT thing-level relationships and utilizes a set of concrete relationships between the offered services to empower a much wider class of meaningful IoT applications.On the other hand, the typical models of the things in smart space are things with sensors that sense and collect environment parameters and things with actuators that perform actions and change the state of the environment. However, smart spaces are not only full of hardware models of things that offer hardware-based services, but also software models [25]. A software model-a mobile app-is a n...

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Section: Api Enginementioning

confidence: 99%

Section: Mobile-app-as-thingmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Maat

Lindquist

Helal

Khaled

et al. 2019

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Self Cite

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Semantic thingsourcing for the Internet of Things

Maamar

Faci

Elnaffar

et al. 2021

Concurrency and Computation

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In the context of Internet of Things, thingsourcing is poised to promote the collective behavior that should prevail among things despite their independent nature being confined into silos. By analogy with crowdsourcing where crowds of (sometimes anonymous) people are contacted for their expertise, thingsourcing abstracts crowds of things and provides the necessary mechanisms for composing things together so they collectively satisfy users' demands. However, to ensure successful discovery of things according to these demands' requirements, an ontology-based semantic description of things is deemed necessary. This article presents an approach for enriching things' descriptions semantically in preparation for their composition with respect to specific scripts that define who will do what, when, and where. A system demonstrating semantic thingsourcing along with a case study about dairy supply-chain is presented in this article as well.

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A systematic survey on internet of things: Energy efficiency and interoperability perspective

Rana

Singh

2020

Trans Emerging Tel Tech

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With the provision of rapid advancement in smart devices used in various technological fields exponentially increases the heterogeneity and energy consumption in internet of things (IoT). The technological leap in information and communication technology instigates the heterogeneity in smart devices, frameworks, architectures, communication technologies, and various industrial and nonindustrial applications. Therefore, a detailed taxonomy of IoT is proposed covering the diverse aspect of IoT lacking interoperability and energy efficiency. Existing research lacks the root causes of heterogeneity and energy consumption at the industrial and technological level. Keeping this in view, our research identified industrial integration and technological challenges. Moreover, we explore the effect on IoT devices when different types of energy harvesters are connected with IoT devices. Our comprehensive research addresses the various issues such as resource management, fog data analytics, energy consumption, heterogeneity, scalability, and the role of quality of service, data science, machine learning to accomplish interoperability and energy efficiency in IoT.

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A framework for inter-thing relationships for programming the social IoT

Cited by 20 publications

References 6 publications

Maat

Maat

Semantic thingsourcing for the Internet of Things

A systematic survey on internet of things: Energy efficiency and interoperability perspective

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