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Internet of things: Vision, applications and research challenges

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TLDR
A survey of technologies, applications and research challenges for Internetof-Things is presented, in which digital and physical entities can be linked by means of appropriate information and communication technologies to enable a whole new class of applications and services.
Abstract
The term ‘‘Internet-of-Things’’ is used as an umbrella keyword for covering various aspects related to the extension of the Internet and the Web into the physical realm, by means of the widespread deployment of spatially distributed devices with embedded identification, sensing and/or actuation capabilities. Internet-of-Things envisions a future in which digital and physical entities can be linked, by means of appropriate information and communication technologies, to enable a whole new class of applications and services. In this article, we present a survey of technologies, applications and research challenges for Internetof-Things.

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Citations
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References
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Book ChapterDOI

A Survey of Models and Design Methods for Self-organizing Networked Systems

TL;DR: This work reviews several existing methods and modeling techniques used to understand self-organization in a general manner and presents implementation concepts and case studies for applying these principles for the design and deployment of robustSelf-organizing networked systems.
Proceedings ArticleDOI

SEDAN: Secure and Efficient protocol for Data Aggregation in wireless sensor Networks

TL;DR: This paper presents a new protocol that provides secure aggregation for wireless sensor networks that is based on a two hops verification mechanism of data integrity, and does not require referring to the base station for verifying and detecting faulty aggregated readings, thus providing a totally distributed scheme to guarantee data integrity.
Journal ArticleDOI

Development of foundation models for Internet of Things

TL;DR: This paper proposes the infrastructure for an IoT prototype system that aims to develop foundation models for IoT data, and provides the vision of the key techniques used for tacking the critical problems in each module.
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Orthogonal Classification of Middleware Technologies

TL;DR: The spontaneous middleware is introduced as a new property for ubiquity in the vertical layer and highlights what spontaneity brings to the different types of middleware.
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Information Coverage and Network Lifetime in Energy Constrained Wireless Sensor Networks

TL;DR: A family of greedy algorithms to allocate sensors different roles such that different sensors may consume different amount of energies in different intervals to prolong network lifetime while still guaranteeing application requirements are proposed.
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