Adaptive duty cycling in sensor networks with energy harvesting using continuous-time markov chain and fluid models
Abstract:The dynamic and unpredictable nature of energy harvesting sources available for wireless sensor networks, and the time variation in network statistics like packet transmission rates and link qualities, necessitate the use of adaptive duty cycling techniques. Such adaptive control allows sen...
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| Main Authors: | , , , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2015
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/3980 https://ink.library.smu.edu.sg/context/sis_research/article/4982/viewcontent/07264968.pdf |
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| Institution: | Singapore Management University |
| Language: | English |