Opportunistic Iot

View this topic in
Formed based on the ad hoc, opportunistic networking of devices (e.g., mobile phones and smart vehicles) using short-range radio techniques (e.g., Bluetooth and Wi-Fi). (Wikipedia.org)




IEEE Organizations related to Opportunistic Iot

Back to Top


Conferences related to Opportunistic Iot

Back to Top

2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD)

Collaboration technologies and applications to the design of processes, products, systems, and services in industries and societies. Application domains include aerospace, automotive, manufacturing, construction, logistics, transportation, power and energy, healthcare, infrastructure, administration, social networks, and entertainment.



Periodicals related to Opportunistic Iot

Back to Top

Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes



Most published Xplore authors for Opportunistic Iot

Back to Top

Xplore Articles related to Opportunistic Iot

Back to Top

OIoT: A Platform to Manage Opportunistic IoT Communities

2015 International Conference on Intelligent Environments, 2015

Opportunistic Internet of Things (IoT) extends the concept of opportunistic networking combining human users carrying mobile devices and smart things. It explores the relationships between humans and the opportunistic connection of smart objects. This paper presents a software infrastructure, named Opportunistic IoT Platform (OIoT), which helps developers to create and manage opportunistic IoT communities between smart devices. The platform enables ...


Multi Period Assignment Problem for Social Engagement and Opportunistic IoT

2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), 2017

Due to the diffusion of Internet of Things (IoT), many devices such as water meters, smart dumpsters, and many other objects have the capacity to record data. Gathering these data from the devices is a problem that could be solved in three ways: by building a huge network infrastructure, by using regular workforce or by using opportunistic IoT networks, i.e. ...


Situational and Adaptive Context-Aware Routing for Opportunistic IoT Networks

2018 28th International Telecommunication Networks and Applications Conference (ITNAC), 2018

The increased capabilities of embedded devices have made them smarter and able to adapt themselves to their users' needs and preferences. Nevertheless, this adaptation has been limited to a single device or to a small number of them. Moreover, the Internet of Things (IoT) paradigm requires to coordinate a huge number of devices and to adapt them to their users' ...


Opportunistic IoT: Exploring the social side of the internet of things

Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2012

The Internet of Things (IoT) is a technical revolution that represents the future of computing and communications. Under its vision, the next-generation Internet will promote the harmonious interaction between human, society, and smart things. The current research in IoT is mainly from the perspective of connecting and managing things. The humanized, social side of IoT, however, is still not explored. ...


Towards a New Opportunistic IoT Network Architecture for Wildlife Monitoring System

2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS), 2018

In this paper we introduce an opportunistic dual radio IoT network architecture for wildlife monitoring systems (WMS). Since data processing consumes less energy than transmitting the raw data, the proposed architecture leverages opportunistic mobile networks in a fixed LPWAN IoT network infrastructure. This solution will facilitate an IoT devices to be deployed for ultra-low power and sustainable wildlife monitoring applications. ...


More Xplore Articles

Educational Resources on Opportunistic Iot

Back to Top

IEEE.tv Videos

Fengrui Shi: OppNet: Enabling Citizen-Centric Urban IoT Data Collection Through Opportunistic Connectivity Service: WF-IoT 2016
Fengrui Shi: Game Theoretic and Auction-based Algorithms Towards Opportunistic Edge-Processing in LPWA LoRa Networks: WF-IoT 2016
Narasimha Rao Vadrevu: A Deployment Synergy Between IoT and SDN - WF-IoT 2015
Geoff Mulligan: Keynote - Making Sense of IoT Protocols and Alliances: WF IoT 2016
Domenico Rotondi: CPS/IoT Relations Inside Reference Frameworks - WF-IoT 2015
Panel Discussion: Towards Fully IoT Connected Cities - WF-IoT 2015
Mirko Presser on the Internet of Things and Big Data - WF-IoT 2015
Roberto Minerva: IEEE Internet of Things (IoT) Initiative - WF-IoT 2015
Said Tabet: IoT Moving Forward - IoT Challenges Industry Forum Panel: WF IoT 2016
IEEE World Forum on Internet of Things - Milan, Italy - Benjamin Cabe and Charalampos Doukas - IoT Device Management: Using Eclipse IoT Open-Source Tools and Frameworks - Part 3
IoT Briefing: IEEE Big Data Initiative - WF-IoT 2015
Jim Davis on Deploying IoT in Manufacturing and Supply Chains - WF-IoT 2015
Carlo Giannelli: SDN and IoT in Spontaneous Networks - WF-IoT 2015
IoT Security Best Practices - Webinar by George Corser and Jared Bielby
Georgios Karagiannis: ETSI ISG IP6's impact on IoT and 5G - WF-IoT 2015
Stephen Mellor: Challenges of Deploying IoT in Manufacturing - WF-IoT 2015
Industrial Standards and IoT Use Cases - Talk Four-A: IECON 2018
Stan Schneider: Complexity Management in the Industrial IoT - IoT Challenges Industry Forum Panel: WF IoT 2016
Joe Klein: IoT Security - Industry Forum Panel: WF IoT 2016
Mahmoud Daneshmand on IoT and Big Data Analytics: IoT: Even Bigger Data

IEEE-USA E-Books

  • OIoT: A Platform to Manage Opportunistic IoT Communities

    Opportunistic Internet of Things (IoT) extends the concept of opportunistic networking combining human users carrying mobile devices and smart things. It explores the relationships between humans and the opportunistic connection of smart objects. This paper presents a software infrastructure, named Opportunistic IoT Platform (OIoT), which helps developers to create and manage opportunistic IoT communities between smart devices. The platform enables the creation of opportunistic IoT communities that support the AllJoyn communications framework, for IoT devices and applications. Results from a preliminary evaluation of the OIoT platform indicate that this infrastructure is useful to manage and share data across opportunistic IoT communities.

  • Multi Period Assignment Problem for Social Engagement and Opportunistic IoT

    Due to the diffusion of Internet of Things (IoT), many devices such as water meters, smart dumpsters, and many other objects have the capacity to record data. Gathering these data from the devices is a problem that could be solved in three ways: by building a huge network infrastructure, by using regular workforce or by using opportunistic IoT networks, i.e. by using as mobile hotspots the devices of selected users. The latter is cheaper than the others, requiring only the payment of a reward to the users. In this paper, we introduce a Multi Period Assignment problem, i.e. a problem for planning the operations of Opportunistic IoT networks. The problem minimizes the sum of user rewards, while gathering data from all devices. An effective heuristic method able to deal with realistic-sized instances is presented. The heuristic is able to find, by using a reasonable amount of time, the optimum for 124 out of 128 instances and reach gaps smaller than 0.1% for the remaining 4 instances.

  • Situational and Adaptive Context-Aware Routing for Opportunistic IoT Networks

    The increased capabilities of embedded devices have made them smarter and able to adapt themselves to their users' needs and preferences. Nevertheless, this adaptation has been limited to a single device or to a small number of them. Moreover, the Internet of Things (IoT) paradigm requires to coordinate a huge number of devices and to adapt them to their users' context, which will lead to an increase in the traffic exchanged between these devices and the cloud. In this paper, the definition of Opportunistic Context-Virtual Networks (OCVNs), and a novel routing algorithm, namely Situational and Adaptive Context-Aware Routing (SACAR), are proposed to dynamically adapt the users context to the opportunistic IoT network environment they belong to at a given time. By taking advantage of the computing capacities of the nodes, and under simulations over a realistic reference scenario, SACAR outperforms other well- known opportunistic routing algorithms in terms of packet delivery ratio, reducing both average latency and network overhead.

  • Opportunistic IoT: Exploring the social side of the internet of things

    The Internet of Things (IoT) is a technical revolution that represents the future of computing and communications. Under its vision, the next-generation Internet will promote the harmonious interaction between human, society, and smart things. The current research in IoT is mainly from the perspective of connecting and managing things. The humanized, social side of IoT, however, is still not explored. In this article, we intend to present the IoT from the human-centric perspective. By analyzing the tight-coupled relationship between human and opportunistic connection of smart things (e.g., mobile phones, vehicles), we propose Opportunistic IoT. It enables information sharing and dissemination within/among opportunistic communities that are formed with the movement and opportunistic contact nature of human. We characterize the bi- directional effect between human and opportunistic IoT, present the innovative application areas, and discuss the challenges raised by this new computing paradigm.

  • Towards a New Opportunistic IoT Network Architecture for Wildlife Monitoring System

    In this paper we introduce an opportunistic dual radio IoT network architecture for wildlife monitoring systems (WMS). Since data processing consumes less energy than transmitting the raw data, the proposed architecture leverages opportunistic mobile networks in a fixed LPWAN IoT network infrastructure. This solution will facilitate an IoT devices to be deployed for ultra-low power and sustainable wildlife monitoring applications. As part of the IoT infrastructure, a LoRa based network is presented with coverage characterization and preliminary test bed deployment for wildlife tracking purpose. In addition, through simulation, the utilization of existing BLE based opportunistic data collection protocols for the proposed architecture is investigated.

  • Simulating large-scale aggregate MASs with alchemist and scala

    Recent works in the context of large-scale adaptive systems, such as those based on opportunistic IoT-based applications, promote aggregate programming, a development approach for distributed systems in which the collectivity of devices is directly targeted, instead of individual ones. This makes the resulting behaviour highly insensitive to network size, density, and topology, and as such, intrinsically robust to failures and changes to working conditions (e.g., location of computational load, communication technology, and computational infrastructure). Most specifically, we argue that aggregate programming is particularly suitable for building models and simulations of complex large-scale reactive MASs. Accordingly, in this paper we describe SCAFI (Scala Fields), a Scala-based API and DSL for aggregate programming, and its integration with the ALCHEMIST simulator, and usage scenarios in the context of smart mobility.

  • Toward opportunistic services for the industrial Internet of Things

    Services are expected to represent the real drivers for all Internet of Things (IoT) application scenarios, including Industrial IoT (IIoT). Indeed, rather than focusing only on products, enterprises are now investing on product- service hybrids to improve operational efficiency, boost productivity and, most importantly, build new markets, hence diversifying their revenues. In this direction, IoT service modeling is a crucial activity requiring a multi- facet in-depth examination. In this paper, we first discuss the importance of IoT services by eliciting related benefits and challenges. Then, we tackle service modeling from both a developer-oriented (comprising highlevel descriptive metamodels and ontologies) and an enterprise-oriented (comprising operational models subject to formal verification and execution, such as extensions of the conventional Business Process Models, Petri Nets and WorkFlows) perspective, providing a conceptual mapping between these two complementary approaches. The proposed new paradigm of “Opportunistic IoT Service” extends the available models by explicitly considering essential features for service provision, i.e., dynamicity, context-awareness, co- location and transience.

  • Opportunistic cyberphysical services: A novel paradigm for the future Internet of Things

    Services have a paramount importance for unfolding the potential of the future Internet of Things (IoT), a dense, open, cyberphysical ecosystem in which humans, conventional computing systems and daily objects straightforwardly interoperate. By summarizing our previous contributions in such novel research context, this paper promotes our vision of “Opportunistic IoT Services” and a full-fledged approach to their modeling according to their opportunistic properties. Its effectiveness and flexibility is illustrated by means of two case studies, related to the Industrial IoT and Smart City scenarios.



Standards related to Opportunistic Iot

Back to Top

No standards are currently tagged "Opportunistic Iot"


Jobs related to Opportunistic Iot

Back to Top