Towards Low Cost Prototyping of Mobile Opportunistic Disconnection Tolerant Networks and Systems
Author(s) -
Milena Radenkovic,
Jon Crowcroft,
Mubashir Husain Rehmani
Publication year - 2016
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2016.2606501
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Fast emerging mobile edge computing, mobile clouds, Internet of Things, 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 pseudoreal) traces. MODiToNeS platform is generic and comprises multiple interfaces that allow real-time topology and mobility control, deployment and analysis of different self-organized 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: a 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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom