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MEES-WuR: Minimum Energy Coding With Early Shutdown for Wake-Up Receivers
- Source :
- IEEE Transactions on Green Communications and Networking, IEEE Transactions on Green Communications and Networking, IEEE, 2021, IEEE Transactions on Green Communications and Networking, 2021
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- International audience; One of the main challenges of wireless sensor networks is to maintain sensor nodes alive as long as possible, and a lot of efforts are dedicated to enable energy efficient communications. Wake-Up Receivers (WuRs) represent a promising solution for reducing the power consumption of nodes by enabling asynchronous communications. However, to achieve an ultra-low power consumption, WuRs circuits are kept as simple as possible, inducing a low sensitivity and thus a short range communication. As channel coding improves sensitivity, we propose to take advantage of the computing capability of the WuRs to apply a specific channel coding. The novelty resides in applying Minimum Energy coding with an Early Shutdown (MEES) of WuRs based on On-Off Keying (OOK) detectors. Both theoretical derivations and Monte-Carlo simulations show that the proposed coding scheme improves the reliability. Moreover, Moreover, MEES has been implemented on a non-coherent WuR prototype, and it is shown through experimentation that WuR reliability can be raised up to 22% compared to uncoded communications. Moreover, both the energy consumption and the latency can be significantly decreased thanks to the shutdown mechanism of MEES.
- Subjects :
- [INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]
Minimum energy coding
Computer Networks and Communications
Renewable Energy, Sustainability and the Environment
business.industry
Computer science
Reliability (computer networking)
Keying
Energy consumption
Reliability
Wireless sensor networks
[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]
Energy efficiency
Wake-up receivers
Asynchronous communication
business
Wireless sensor network
Decoding methods
Computer hardware
Coding (social sciences)
Efficient energy use
Subjects
Details
- ISSN :
- 24732400
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Green Communications and Networking
- Accession number :
- edsair.doi.dedup.....69bd8018b7d3b17345cba592e9d67752