Data, data, data:
challenges for opportunistic network research.
Tristan Henderson
Abstract
Opportunistic networking and opportunistic communications has been a
popular area of research in the mobile networking community for
several years now. But we still have a bit of a way to go before we
can deploy these systems on a large scale. This talk will look at some
of the outstanding research challenges, and suggest ways in which the
research community can address these. In particular, we will consider
some of the data-centric challenges. What data do we need to research
opportunistic networks? How should we use these data? How should we
analyse these data? And why, how, and with whom should we share these
data?
Bio
Tristan Henderson is a Lecturer in Computer Science at the University
of St Andrews in Scotland. His research aims to better understand user
behaviour and use this to build improved systems; an approach which
has involved measurements and testbeds for networked games, wireless
networks, mobile sensors, smartphones, online social networks and
opportunistic networks. He serves on the JANET UK Wireless Advisory
Group, the steering committee of the NetGames workshop, and is co-PI
of the CRAWDAD data archive, the world's largest wireless network data
archive, with over 90 datasets and tools in use by over 3000 users
from 77 countries. Dr Henderson holds an MA in Economics from
Cambridge University and an MSc and PhD in Computer Science from
University College London. For more information, see
http://www.cs.st-andrews.ac.uk/~tristan/
