A Framework for Data Delivery in Integrated Internet of Things Architectures

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Authors

Alfagih, Ashraf

Date

2013-05-01

Type

thesis

Language

eng

Keyword

Integrated Architectures , RFID , Wireless Sensor Network , Internet of Things

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Abstract

The Internet of Things (IoT) represents a networking paradigm where entities are viewed as objects that are identifiable, traceable and connected. This view requires the integration and interoperability of numerous wireless standards. Radio Frequency Identification (RFID) systems and Wireless Sensor Networks (WSNs) are two dominant technologies that jointly constitute a class of hybrid/integrated IoT architectures known as RFID-Sensor Networks (RSNs). Data delivery across such integrated architectures faces challenges in terms of cost-efficiency, scalability and connectivity, among many others. Moreover, IoT-driven solutions are required to address constraints on node mobility, delay-tolerance and resource management, and may have to adhere to an economic model in order to establish incentive-based schemes. Most available RSN solutions are tailored for a single-application and fail to address the aforementioned IoT constraints. To the best of our knowledge, a detailed framework that comprehensively addresses such constraints does not exist. We investigate this promising research direction by proposing a novel framework that incorporates an RSN integrated architecture to improve delivery over heterogeneous topologies. Our framework provides data delivery solutions that adhere to delivery and connectivity considerations of integrated RSN architectures in IoT. Moreover, our data delivery solutions incorporate pricing policies for incentive public sensing applications over the proposed architecture. We show, by theoretical analysis and simulations, that our framework outperforms rival RSN integration approaches, as well as other wireless Ad-hoc data delivery schemes in realizing IoT performance requirements.

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Thesis (Ph.D, Computing) -- Queen's University, 2013-05-01 15:09:52.668

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This publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.

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