Name
Abstract | ||
|---|---|---|
This work addresses the problem of efficient distributed detection of predicates capturing the motion trends of mobile objects evaluated with respect to a (boundary of a) polygonal region, in the settings in which the (location, time) data is obtained via tracking in Wireless Sensor Networks (WSN). Specifically, we discuss in-network distributed algorithms for detecting two motion-trend predicates: Continuously Moving Towards and Persistently Moving Towards: first for a single object, and then the corresponding variants for multiple objects. We also present methodologies which consider the energy vs. latency trade-offs when multiple tracked objects are being considered for validating the monitored predicates. Our experiments demonstrate that our proposed technique yield substantial energy savings when compared to the nave centralized and cluster-based approaches in which the raw (location, time) data is transmitted to a dedicated sink where the predicates are being evaluated. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.comcom.2016.08.012 | Computer Communications |
Keywords | Field | DocType |
Wireless sensor networks,WSN,Distributed algorithms,Spatial data,Motion trends,Data aggregation | Spatial analysis,Polygon,Computer science,Latency (engineering),Real-time computing,Distributed algorithm,Predicate (grammar),Wireless sensor network,Data aggregator,Distributed computing | Journal |
Volume | Issue | ISSN |
101 | C | 0140-3664 |
Citations | PageRank | References |
4 | 0.39 | 46 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Besim Avci | 1 | 31 | 5.46 |
| Goce Trajcevski | 2 | 1732 | 141.26 |
| R Tamassia | 3 | 4686 | 550.39 |
| Peter Scheuermann | 4 | 32 | 4.11 |
| Fan Zhou | 5 | 101 | 23.20 |