Optimizing Energy Resources in WSNs: ARIMA Feature Selection Meets Adaptive Reinforcement Learning

IF 2.3 4区 物理与天体物理 Q2 OPTICS Fiber and Integrated Optics Pub Date : 2024-05-31 DOI:10.1080/01468030.2024.2342269
S Anslam Sibi, L Sherly Puspha Annabel
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Abstract

Efficient energy management in WSNs is pivotal for prolonged network lifetime and sustained performance. This research introduces a novel approach to energy optimization through the integration of ...
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优化 WSN 中的能源资源:ARIMA 特征选择与自适应强化学习的结合
WSN 中高效的能量管理对于延长网络寿命和保持性能至关重要。本研究介绍了一种新颖的能量优化方法,通过整合...
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来源期刊
CiteScore
3.40
自引率
0.00%
发文量
4
审稿时长
>12 weeks
期刊介绍: Fiber and Integrated Optics , now incorporating the International Journal of Optoelectronics, is an international bimonthly journal that disseminates significant developments and in-depth surveys in the fields of fiber and integrated optics. The journal is unique in bridging the major disciplines relevant to optical fibers and electro-optical devices. This results in a balanced presentation of basic research, systems applications, and economics. For more than a decade, Fiber and Integrated Optics has been a valuable forum for scientists, engineers, manufacturers, and the business community to exchange and discuss techno-economic advances in the field.
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