Towards low cost prototyping of mobile opportunistic disconnection tolerant networks and systems

Radenkovic, Milena and Crowcroft, Jonathan and Rehmani, Mubashir Husain (2016) Towards low cost prototyping of mobile opportunistic disconnection tolerant networks and systems. IEEE Access . ISSN 2169-3536

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Abstract

Fast emerging mobile edge computing, mobile clouds, Internet of Things (IoT) and cyber physical systems require many novel realistic real time multi-layer algorithms for a wide range of domains, such as intelligent content provision and processing, smart transport, smart manufacturing systems and mobile end user applications. This paper proposes a low cost open source platform, MODiToNeS, which uses commodity hardware to support prototyping and testing of fully distributed multi-layer complex algorithms over real world (or pseudo real) traces. MODiToNeS platform is generic and comprises multiple interfaces that allow real time topology and mobility control, deployment and analysis of different self-organised and self-adaptive routing algorithms, real time content processing, and real time environment sensing with predictive analytics. Our platform also allows rich interactivity with the user. We show deployment and analysis of two vastly different complex networking systems: fault and disconnection aware smart manufacturing sensor network and cognitive privacy for personal clouds. We show that our platform design can integrate both contexts transparently and organically and allows a wide range of analysis.

Item Type: Article
Additional Information: c2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Keywords: Disruption tolerant networking, Mobile ad hoc networks, Prototypes, Wireless communication, Wireless sensor networks
Schools/Departments: University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Identification Number: https://doi.org/10.1109/ACCESS.2016.2606501
Depositing User: Radenkovic, Milena
Date Deposited: 08 Sep 2016 09:51
Last Modified: 10 Oct 2016 16:40
URI: http://eprints.nottingham.ac.uk/id/eprint/36358

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