Name
Title | ||
|---|---|---|
Enabling resource-awareness for in-network data processing in wireless sensor networks |
Abstract | ||
|---|---|---|
The next-generation of wireless sensor platforms allows for more advanced in-network data processing. The central challenge remains energy and communication efficiency. This paper presents a resource-awareness framework for wireless sensor networks that allows in-network data processing to adapt to changing resource levels such as battery power or available memory. We have implemented the proposed framework as part of a query processing system for the Sun SPOT sensor network platform. As a case study, we have applied the framework to the query processor's on-line data clustering algorithm, making it resource-aware. In an experimental study, we demonstrate how communication costs can be significantly reduced by de-coupling clustering and data communication. The results also show the effectiveness of the resource-aware clustering algorithm: It can keep a constant memory footprint for only a marginal acceptable error in result accuracy. |
Year | Venue | Keywords |
|---|---|---|
2008 | ADC | data communication,communication cost,proposed framework,in-network data,wireless sensor network,communication efficiency,de-coupling clustering,on-line data,enabling resource-awareness,query processing system,sun spot sensor network,advanced in-network data processing,sensor network,data processing,data clustering,computing,coupled cluster |
Field | DocType | Citations |
Sensor node,Data mining,Key distribution in wireless sensor networks,Data stream clustering,Computer science,Visual sensor network,Sun SPOT,Real-time computing,Mobile wireless sensor network,Cluster analysis,Wireless sensor network,Distributed computing | Conference | 5 |
PageRank | References | Authors |
0.49 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Uwe Röhm | 1 | 308 | 31.42 |
| Mohamed Medhat Gaber | 2 | 1081 | 71.17 |
| Quincy Tse | 3 | 17 | 2.45 |