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2009 Proceeding- Program Chairs:
- Xiaoming Fu,
- Pan Hui
It is well-known that successfully researching, designing and building mobile systems and algorithms requires access to large-scale mobility data. Unfortunately, the wireless and mobile research communities lack such data. For instance, the largest publicly available human contact traces contain only 100 very sparsely connected nodes, a limitation of the experimental setup. We believe that large-scale datasets are important, not only in communication network design, but also for fundamental study in other academic disciplines, e.g., epidemiology, urban planning, and social science. An analogy can be made to the field of complex networks research, which flourished since 1989 when the first large datasets from the Internet (and subsequently the World Wide Web) became available. To achieve similar improvements in mobile networking and other related fields, relevant large-scale datasets must be made available.
Sampling urban mobility through on-line repositories of GPS tracks
We analyze urban mobility by relying on the short-term mobility traces gathered from a publicly available web-based repository of GPS tracks - the Nokia Sports Tracker service. All mobility traces are obtained from a set of kml files. We show how the ...
DOME: a diverse outdoor mobile testbed
A series of complex dependencies conspire to make it difficult to model mobile networks, including mobility, channel and radio characteristics, and power consumption. To address these challenges, we have designed and built a testbed for large-scale ...
Towards new methods for mobility data gathering: content, sources, incentives
Over the past decade, huge amounts of work has been done in mobile and opportunistic networking research. Unfortunately, much of this has had little impact as the results have not been applicable to reality, due to incorrect assumptions and models used ...
SniffMob: inferring human contact patterns using wireless devices
The size of existing data sets regarding human mobility and person-to-person contact has been limited by the labor-intensive nature of the data collection techniques employed. In this paper, we propose a practical data collection system which is ...
Sentient bikes for collecting mobility traces in opportunistic networks
We study the problem of building low-cost city-wide location tracking systems with the intention to provide a platform for large-scale human mobility data collection. We take the city-bikes as our first target, motivated by several social networking ...
Scaling measurement experiments to planet-scale: ethical, regulatory and cultural considerations
Conducting planet-scale mobility experiments and measurements is of great interest to network researchers for building the next generation of wireless networking technologies, or for studying inter-disciplinary problems in complex networks. There are ...
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Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| HotPlanet '13 | 20 | 11 | 55% |
| Overall | 20 | 11 | 55% |