Name
Title | ||
|---|---|---|
Data sweeper: A proactive filtering framework for error-bounded sensor data collection |
Abstract | ||
|---|---|---|
This paper presents data sweeper — a novel framework that attempts to reduce network traffic for error-bounded data collection in wireless sensor networks. Unlike existing passive filters, a data sweeper migrates in the network and proactively suppresses data updates while maintaining the user-defined error bound. Intuitively, the migration of a data sweeper learns the data change of each sensor node on the fly, which helps to maximize the filtering capacity. We design the data sweeper framework in such a way that it can accommodate diverse query specifications and be easily incorporated into the existing sensor network protocols. Moreover, we develop efficient strategies for query precision maintenance, sweeper migration, and data suppression within the framework. In particular, in order to maximize traffic reduction and adapt to online data updates, a Lagrangian relaxation based algorithm is proposed for data suppression. Extensive simulations based on real-world traces show that the data sweeper significantly reduces the network traffic and extends the system lifetime under various network configurations. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TETC.2015.2411215 | Emerging Topics in Computing, IEEE Transactions |
Keywords | Field | DocType |
network traffic,data sweeper,wireless sensor network,proactive filtering framework,information filtering,data compression,user specified error budget,temporal data,data filtering,error bounded data collection,telecommunication network management,wireless sensor networks,telecommunication traffic,sensor node,sensor fusion,algorithm design and analysis,spread spectrum communication,base station,concrete,optimization,computer networks,base stations,routing,data collection,filtering,error correction,system dynamics | Sensor node,Base station,Data collection,Computer science,Computer network,Filter (signal processing),Real-time computing,Error detection and correction,Sensor fusion,Temporal database,Wireless sensor network | Conference |
Volume | Issue | ISSN |
4 | 4 | 2168-6750 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dan Wang | 1 | 169 | 13.41 |
| Jiangchuan Liu | 2 | 4340 | 310.86 |
| Jianliang Xu | 3 | 2743 | 168.17 |