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J. Sens. Actuator Netw. 2013, 2(1), 122-155;

Adaptive Communication Techniques for the Internet of Things

Birkbeck College, University of London, Malet Street, London, WC1E 7HX, UK
Author to whom correspondence should be addressed.
Received: 16 January 2013 / Revised: 16 February 2013 / Accepted: 28 February 2013 / Published: 6 March 2013
(This article belongs to the Special Issue Internet of Things: Technologies and Applications)
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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. View Full-Text
Keywords: Internet of Things; adaptation; spectrum; integration; wireless sensor networks Internet of Things; adaptation; spectrum; integration; wireless sensor networks

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Du, P.; Roussos, G. Adaptive Communication Techniques for the Internet of Things. J. Sens. Actuator Netw. 2013, 2, 122-155.

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