ISCAS OpenIR
raps: a precision-adaptive protocol towards improved data fidelity in wireless sensor networks
Deng Hanlin; Zhang Baoxian; Jiao Zhenzhen; Li Cheng
2012
SourceWireless Communications and Mobile Computing
ISSN1530-8669
Pages-
English AbstractAchieving high data quality and efficient network resource utilization is two major design objectives of wireless sensor networks (WSNs). However, these two objectives are often conflictive. By allowing sensors to report sampled data at high rates, fine-grained data quality can be obtained. However, the limited resources of a WSN make it difficult to support very high traffic rate. Therefore, the capability of adaptively adjusting sensor nodes' traffic-generating rates on the basis of the availability of network resources and application requirements is critical. This issue has attracted much attention recently, and some work has been carried out. To achieve high data quality and improved utilization of network resources, in this paper, we propose rate-based adaptive precision setting (RAPS) protocol, which works in a way that each sensor can adaptively adjust its traffic-generating rate on the basis of the current network resources availability and application requirements. RAPS introduces the following two key factors into its design: application's precision requirement and packet arrival rate. Analytical and simulation results show that RAPS can achieve improved data quality while reducing packet delivery latency. © 2012 John Wiley & Sons, Ltd.; Achieving high data quality and efficient network resource utilization is two major design objectives of wireless sensor networks (WSNs). However, these two objectives are often conflictive. By allowing sensors to report sampled data at high rates, fine-grained data quality can be obtained. However, the limited resources of a WSN make it difficult to support very high traffic rate. Therefore, the capability of adaptively adjusting sensor nodes' traffic-generating rates on the basis of the availability of network resources and application requirements is critical. This issue has attracted much attention recently, and some work has been carried out. To achieve high data quality and improved utilization of network resources, in this paper, we propose rate-based adaptive precision setting (RAPS) protocol, which works in a way that each sensor can adaptively adjust its traffic-generating rate on the basis of the current network resources availability and application requirements. RAPS introduces the following two key factors into its design: application's precision requirement and packet arrival rate. Analytical and simulation results show that RAPS can achieve improved data quality while reducing packet delivery latency. © 2012 John Wiley & Sons, Ltd.
Indexed TypeEI
KeywordSensor Nodes Sensors
Department(1) Software Engineering Institute East China Normal University Shanghai 200062 China; (2) Wuxi SensingNet Industrialization Research Institute Wuxi 214213 China; (3) Research Center of Ubiquitous Sensor Networks University of Chinese Academy of Sciences Beijing 100049 China; (4) Electrical and Computer Engineering Faculty of Engineering and Applied Science Memorial University of Newfoundland St. John's NL A1B3X5 Canada
Language英语
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/15446
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Deng Hanlin,Zhang Baoxian,Jiao Zhenzhen,et al. raps: a precision-adaptive protocol towards improved data fidelity in wireless sensor networks[J]. Wireless Communications and Mobile Computing,2012:-.
APA Deng Hanlin,Zhang Baoxian,Jiao Zhenzhen,&Li Cheng.(2012).raps: a precision-adaptive protocol towards improved data fidelity in wireless sensor networks.Wireless Communications and Mobile Computing,-.
MLA Deng Hanlin,et al."raps: a precision-adaptive protocol towards improved data fidelity in wireless sensor networks".Wireless Communications and Mobile Computing (2012):-.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Deng Hanlin]'s Articles
[Zhang Baoxian]'s Articles
[Jiao Zhenzhen]'s Articles
Baidu academic
Similar articles in Baidu academic
[Deng Hanlin]'s Articles
[Zhang Baoxian]'s Articles
[Jiao Zhenzhen]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Deng Hanlin]'s Articles
[Zhang Baoxian]'s Articles
[Jiao Zhenzhen]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.