Event Driven Duty Cycling with Reinforcement Learning and Monte Carlo Technique for Wireless Network
Reducing transmission delay and maximizing the network lifetime are important issues for wireless sensor networks (WSN). The existing approaches commonly let the nodes periodically sleep to minimize energy consumption, which adversely increases packet forwarding latency. In this study, a novel schem...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2021-01-01
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| Series: | Mobile Information Systems |
| Online Access: | http://dx.doi.org/10.1155/2021/6644389 |