The OSI reference model

Day, John D.; Zimmermann, Hubert

doi:10.1109/proc.1983.12775

Cited by 341 publications

(106 citation statements)

References 2 publications

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“…Identified opportunities are attributed to certain layers with respect to the the OSI reference model [8,9] and illustrated in the Component Stack of Figure 1. The term "component" is used in a sense that adaptive communications are considered a composition of these opportunities.…”

Section: A Conceptual Model For Adaptive Iot Communicationsmentioning

confidence: 99%

“…Whilst the PHY provides the tools that makes spectrum-related adaptations possible, it is the media access control (MAC) layer which directly regulates the manner in which the spectrum-related functionalities are exerted to fulfill adaptive missions in IoT [8]. This responsibility of regulation can be associated with either local sensing behaviors at individual nodes or the cooperation between network entities.…”

Section: Media Access Controlmentioning

confidence: 99%

“…The key ingredients of such functionality include flow and congestion control and error recovery [8], which, in the face of the changeable wireless medium and particularly the adaptive operations at lower layers discussed in preceding sections, are exposed to unique challenges. For example, TCP attributes unacknowledged datagrams to congestion; however, such an assumption is no longer valid when considering IoT devices that switch to different frequencies when strong interference is detected in the current channel.…”

Section: Transport Layermentioning

confidence: 99%

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Adaptive Communication Techniques for the Internet of Things

Roussos

2013

JSAN

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Abstract:The vision for the Internet of Things (IoT) demands that material objects acquire communications and computation capabilities and become able to automatically identify themselves through standard protocols and open systems, using the Internet as their foundation. Yet, several challenges still must be addressed for this vision to become a reality. A core ingredient in such development is the ability of heterogeneous devices to communicate adaptively so as to make the best of limited spectrum availability and cope with competition which is inevitable as more and more objects connect to the system. This survey provides an overview of current developments in this area, placing emphasis on wireless sensor networks that can provide IoT capabilities for material objects and techniques that can be used in the context of systems employing low-power versions of the Internet Protocol (IP) stack. The survey introduces a conceptual model that facilitates the identification of opportunities for adaptation in each layer of the network stack. After a detailed discussion of specific approaches applicable to particular layers, we consider how sharing information across layers can facilitate further adaptation. We conclude with a discussion of future research directions.

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Section: A Conceptual Model For Adaptive Iot Communicationsmentioning

confidence: 99%

Section: Media Access Controlmentioning

confidence: 99%

Section: Transport Layermentioning

confidence: 99%

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Adaptive Communication Techniques for the Internet of Things

Roussos

2013

JSAN

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“…It covers 5-7 OSI layers [15] and provides generic functions to cooperate with Transport & Networking layers and to support ITS applications. ETSI defines three basic components in this layer:…”

Section: Itetris Communication Architecturementioning

confidence: 99%

iTETRIS: Adaptation of ITS Technologies for Large Scale Integrated Simulation

Kumar

Lin

Krajzewicz

et al. 2010

2010 IEEE 71st Vehicular Technology Conference

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“…This idea has been applied successfully in many other fields, notably the OSI reference model in networking [7] and OpenGL in graphics [20]. We have previously developed abstractions within sub-categories of computer vision, including access to and organisation of cameras [16], transport and distribution of vision tasks [2], and investigating the benefits of separating management and analysis of image data [1].…”

Section: Introductionmentioning

confidence: 99%

Towards a General Abstraction through Sequences of Conceptual Operations

Miller

Oldridge

Fels

2011

Lecture Notes in Computer Science

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Abstract. Computer vision is a complex field which can be challenging for those outside the research community to apply in the real world. To address this we present a novel formulation for the abstraction of computer vision problems above algorithms, as part of our OpenVL framework. We have created a set of fundamental operations which form a basis from which we can build up descriptions of computer vision methods. We use these operations to conceptually define the problem, which we can then map into algorithm space to choose an appropriate method to solve the problem. We provide details on three of our operations, Match, Detect and Solve, and subsequently demonstrate the flexibility of description these three offer us. We describe various vision problems such as image registration and tracking through the sequencing of our operations and discuss how these may be extended to cover a larger range of tasks, which in turn may be used analogously to a graphics shader language.

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The OSI reference model

Cited by 341 publications

References 2 publications

Adaptive Communication Techniques for the Internet of Things

Adaptive Communication Techniques for the Internet of Things

iTETRIS: Adaptation of ITS Technologies for Large Scale Integrated Simulation

Towards a General Abstraction through Sequences of Conceptual Operations

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