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An Adaptable, Fog-Computing Machine-to-Machine Internet of Things Communication Framework

Badokhon, Alaa
http://orcid.org/0000-0002-0332-1892
http://rave.ohiolink.edu/etdc/view?acc_num=case1492450137643915

Abstract Details

2017, Master of Sciences, Case Western Reserve University, EECS - Computer Engineering.
The Internet of Things as a concept is ever-evolving. Its construct revolves around the formation of Internet-connected "Things." This thesis introduces an adaptable, expandable and modular IoT communication framework. It facilitates platform-agnostic client compatibility and inherently adopts several data types and connection schemes. To demonstrate its modularity the framework integrates several modules on the nodes level, including End-User management, Hot-Plug peripherals, Autonomous Event Handling and End-to-End Message Encryption. A distributed messaging scheme along with network traffic analysis connecting to a single server (XMPP) have been conducted to validate the framework's interoperability and expandability. Results show that adding more nodes and increasing messaging frequency on nodes generates network traffic exponentially. Implementing XMPP allows for server-to-server communication on the application protocol layer, thus reducing the domain-centric network overhead. This framework opens the opportunity for future integration of modules, their features, and the analysis of IoT data in the broader scope.
Chris Papachristou, Dr. (Committee Chair)
Ming-Chun Huang, Dr. (Committee Member)
Michael Rabinovich, Dr. (Committee Member)
68 p.
Computer Engineering; Information Systems; Information Technology; Systems Design
Fog-Computing; Mobile-Edge Computing; M2M; Application Layer; Communication Framework; Internet of Things; IoT; XMPP; Node-Centric, Autonomous Event Handling or Processing; Node to Node Communication; Peer to Peer Communication; Platform-Agnostic; Network

Recommended Citations

Citations

  • Badokhon, A. (2017). An Adaptable, Fog-Computing Machine-to-Machine Internet of Things Communication Framework [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1492450137643915

    APA Style (7th edition)

  • Badokhon, Alaa. An Adaptable, Fog-Computing Machine-to-Machine Internet of Things Communication Framework. 2017. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1492450137643915.

    MLA Style (8th edition)

  • Badokhon, Alaa. "An Adaptable, Fog-Computing Machine-to-Machine Internet of Things Communication Framework." Master's thesis, Case Western Reserve University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1492450137643915

    Chicago Manual of Style (17th edition)

case1492450137643915
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© 2017, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.