Name
Abstract | ||
|---|---|---|
Spatiotemporal query is a new type of data service that al- lows a user to periodically gather information from a geo- graphic area that moves with the user. A defining feature of this new service model is that each query result is subject to a set of spatiotemporal constraints in terms of response tim e, data freshness, and changing locations of data sources due to user mobility. We have developedMobiQuery to support spatiotemporal query services in a wireless sensor network environment. MobiQuery can work with in-network aggrega- tion, energy conservation, and motion prediction techniqu es. A novel just-in-time prefetching mechanism is employed to provide spatiotemporal performance guarantees despite ex - tremely low node duty cycles and unpredictable communica- tion delays in sensor networks, while still achieving signi fi- cant energy conservation. We also provide theoretical anal y- sis and ns-2 simulation results which demonstrate the robus t- ness and efficiency of MobiQuery under a range of realistic settings. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1145/1031495.1031563 | SenSys |
Keywords | Field | DocType |
mobi-query,spatiotemporal data service,sensor network,wireless sensor networks,duty cycle,energy conservation,service model,wireless sensor network | Key distribution in wireless sensor networks,Energy conservation,Computer science,Response time,Computer network,Robustness (computer science),Real-time computing,Mobile wireless sensor network,Sensor web,Wireless sensor network,Data as a service | Conference |
ISBN | Citations | PageRank |
1-58113-879-2 | 3 | 0.41 |
References | Authors | |
15 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sangeeta Bhattacharya | 1 | 198 | 11.83 |
| Octav Chipara | 2 | 656 | 37.29 |
| Brandon Harris | 3 | 88 | 5.73 |
| Chenyang Lu | 4 | 6474 | 385.38 |
| Guoliang Xing | 5 | 3416 | 209.19 |
| Chien-Liang Fok | 6 | 663 | 39.24 |