Dynamic Deep Learning for Enhanced Reliability in Wireless Sensor Networks: The DTLR-Net Approachdoi:10.32604/cmc.2024.055827WSNlifetimenodesmobile sinksenergypacketssecurityIn the world of wireless sensor networks (WSNs), optimizing performance and extending network lifetime are critical goals. In this ...
Distributed Independent Reinforcement Learning (DIRL) Approach to Resource Management in Wireless Sensor Networks In wireless sensor networks, resource-constrained nodes are expected to operate in unattended highly dynamic environments. Hence, the need for adaptive and... K Shah,M Kumar - IEEE Internatio...
Energy Harvesting Wireless Sensor Networks: Delay Analysis Considering Energy Costs of Sensing and Transmission Our\nresults show that the consideration of sensing energy cost leads to an\nimportant tradeoff between the two metrics: more frequent updates result in\nless timely information available at ...
Secure routing with multi-watchdog construction using deep particle convolutional model for IoT based 5G wireless sensor networks The proposed Deep Learning (DL) based dynamic multi-watchdog system protects each sensor node by monitoring the node transmission. In addition, the ... S Rajasoundaran,...
The geometric designs of MEMS devices can profoundly impact their physical properties and eventual performances. However, it is challenging for researchers to rationally consider a large number of possible designs, as it would be very time- and resource-
摘要: Novel cluster head selection algorithm using the whale optimization algorithm.Novel intelligent multi-hop path selection using deep reinforcement learning.Enhancing intelligence and performance of wireless sensor networks.Simulation results reveal the effectiveness and adaptivity of routing protocol....
Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks mkoz71 / Energy-Efficiency-in-Reinforcement-Learning Learning to optimize: Training deep neural networks for wireless resource management Haoran-S / DNN_WMMSE Implications of Decentralized Q-learning Resource Allocation in Wireless Netwo...
The data security was ensured by using the deep learning-based Authentication and Key Agreement protocol. Show abstract Provably secure optimal homomorphic signcryption for satellite-based internet of things 2024, Computer Networks Citation Excerpt : Trivedi and Patel [36] design a secure data ...
In this webinar, we will demonstrate data synthesis techniques that can be used to train Deep Learning and Machine Learning networks for a range of radar and wireless communications systems including: Understanding data set trade-offs between machine learning and deep learning workflows Efficient way...
展开 关键词: Wireless communication Deep learning Wireless sensor networks Baseband Real-time systems Reproducibility of results Sensors 会议名称: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications 会议时间: 2021/05/10 主办单位: IEEE 收藏 引用 批量引用 报错 分享 全部...