Name
Abstract | ||
|---|---|---|
We study query scheduling in Wireless Sensor Networks (WSNs) with a focus on two important metrics: Quality of Service (QoS) and Quality of Data (QoD). The motivation comes from our observation that most WSN scheduling techniques ignore the quality requirements of queries. As a result, they are inefficient or inapplicable to quite a few applications that have different quality requirements. In this paper, we propose a distributed Quality Aware Scheduling (QAS) framework to address this problem. QAS works on top of existing quality-unaware query scheduling protocols and allows individual users to specify their QoS and QoD requirements on their queries. Given these quality requirements, QAS determines the target qualities to be provided in scheduling and the execution order of these queries so as to maximize the total system profit. Our preliminary results show that QAS significantly outperforms the baseline scheduling algorithms in terms of system profit. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1594187.1594197 | DMSN |
Keywords | Field | DocType |
quality aware scheduling,quality-unaware query scheduling protocol,wsn scheduling technique,system profit,query scheduling,wireless sensor network,qod requirement,quality aware query scheduling,target quality,different quality requirement,quality requirement,baseline scheduling algorithm,profitability,sensor,quality of service,scheduling algorithm,xml | XML,Fair-share scheduling,Scheduling (computing),Computer science,Quality of service,Computer network,Real-time computing,Dynamic priority scheduling,Wireless sensor network,Distributed computing | Conference |
Citations | PageRank | References |
6 | 0.56 | 20 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hejun Wu | 1 | 242 | 23.03 |
| Qiong Luo | 2 | 3617 | 229.67 |
| Jianjun Li | 3 | 73 | 14.05 |
| Alexandros Labrinidis | 4 | 1374 | 191.50 |