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Titlebook: Energy Conservation Solutions for Fog-Edge Computing Paradigms; Rajeev Tiwari,Mamta Mittal,Lalit Mohan Goyal Book 2022 The Editor(s) (if a

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21#
發(fā)表于 2025-3-25 03:27:50 | 只看該作者
https://doi.org/10.1057/9780230610422 the hospital environment by enabling IoT-based energy harvesting (EHIoT) methods. This approach combines collecting healthcare-related data from the hospital environment and monitoring them through the IoT/Fog-based system. We applied?EHIoT methodologies for harvesting energy and managing?them?in t
22#
發(fā)表于 2025-3-25 09:31:00 | 只看該作者
https://doi.org/10.1057/978-1-349-96107-8d strategy which is exclusively meant for secure and energy-efficient hierarchical routing in WSN. The system modeling of the formulated approach consists of three different solution spaces such as (i) a framework for energy-efficient secure routing (FEESR), which incorporates a novel tree-based app
23#
發(fā)表于 2025-3-25 11:43:25 | 只看該作者
24#
發(fā)表于 2025-3-25 17:13:18 | 只看該作者
Timothy J. Steiner,Lars Jacob Stovnerg is of vital importance to be able to activate the alternative and energy mechanisms such as electric power generating motors, but these motors have an ignition and stabilization time, it is at this time that it is necessary to monitor the use and discharge of energy from the power bank batteries f
25#
發(fā)表于 2025-3-25 21:57:24 | 只看該作者
26#
發(fā)表于 2025-3-26 03:34:33 | 只看該作者
Improvement of Task Offloading for Latency Sensitive Tasks in Fog Environment,apter proposes a QoS-aware task offloading strategy using a novel nature-inspired optimization algorithm, known as the Smart Flower Optimization Algorithm (SFOA). The proposed strategy takes into account the QoS parameters such as the task deadlines and budget constraints in selection of appropriate
27#
發(fā)表于 2025-3-26 04:26:00 | 只看該作者
28#
發(fā)表于 2025-3-26 09:42:25 | 只看該作者
29#
發(fā)表于 2025-3-26 14:15:35 | 只看該作者
30#
發(fā)表于 2025-3-26 17:03:01 | 只看該作者
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