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Compressed Sensing Based Joint Rate Allocation and Routing Design in Wireless Sensor Networks
Joint Authors
Zhuang, Yi
Chen, Bing
Wang, Ran
Zhang, Baoxian
Hao, Jie
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Compressed sensing for wireless sensor networks has attracted a lot of research attention in the last decade for its advantages in energy saving, robustness, and so on.
Nevertheless, existing solutions mostly focus on the data compression performance while neglecting the energy efficiency.
In this paper, we first present the joint resource allocation problem formulation based on compressed sensing.
Then a distributed algorithm to compute the sampling rate and routes utilizing local network status is proposed.
We conduct extensive experiments based on meteorological wireless sensor networks to verify the merit of our mechanism; it is shown that the proposed mechanism is able to achieve very high efficiency in terms of network lifetime and sensing quality compared with existing approaches.
American Psychological Association (APA)
Hao, Jie& Wang, Ran& Zhang, Baoxian& Zhuang, Yi& Chen, Bing. 2018. Compressed Sensing Based Joint Rate Allocation and Routing Design in Wireless Sensor Networks. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1216135
Modern Language Association (MLA)
Hao, Jie…[et al.]. Compressed Sensing Based Joint Rate Allocation and Routing Design in Wireless Sensor Networks. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1216135
American Medical Association (AMA)
Hao, Jie& Wang, Ran& Zhang, Baoxian& Zhuang, Yi& Chen, Bing. Compressed Sensing Based Joint Rate Allocation and Routing Design in Wireless Sensor Networks. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1216135
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216135