Name
Abstract | ||
|---|---|---|
Wireless sensor networks (WSNs) have come a long way to reach their ubiquitous state known today through scalable cost, low-power optimizations, and data management. As WSNs scale in size, the necessity for system designs - from low-level hardware implementations to data collection and management procedures - to account for handling extensive amounts of data is crucial. Several prominent papers address these issues for limited deployments of less than 200 nodes, but there are little resources available for multiple consecutive deployments of over 500 nodes. We present the engineering perspective on sensor data collection, management, and processing while collaborating with epidemiologists for the Wireless Ranging Enabled Node (WREN) network system for human contact research. The WREN and all supporting systems (base stations, software, and data procedures) sustain multiple high density, mobile deployments with fast turnovers. The WRENs completed 13 deployments over a period of 8 months to mine over 35 million contact points. We present our design considerations, challenges/experiences, and solutions to account for and correct time synchronization issues, along with our methodology for collecting, managing, and processing data. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2536714.2536716 | SENSEMINE@SenSys |
DocType | Citations | PageRank |
Conference | 2 | 0.37 |
References | Authors | |
10 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrzej Forys | 1 | 4 | 1.42 |
| Kyeong Min | 2 | 2 | 0.70 |
| Thomas Schmid | 3 | 13 | 1.83 |
| Warren Pettey | 4 | 7 | 1.91 |
| Damon Toth | 5 | 2 | 0.70 |
| Molly Leecaster | 6 | 5 | 0.81 |