Security Enhancement for Deep Reinforcement Learning-Based Strategy in Energy-Efficient Wireless Sensor Networks
Energy efficiency and security issues are the main concerns in wireless sensor networks
(WSNs) because of limited energy resources and the broadcast nature of wireless …
(WSNs) because of limited energy resources and the broadcast nature of wireless …
UrbanGenoGAN: pioneering urban spatial planning using the synergistic integration of GAN, GA, and GIS
W Cheng, Y Chu, C Xia, B Zhang, J Chen… - Frontiers in …, 2023 - frontiersin.org
Introduction: Urban spatial planning is critical for the development of sustainable and livable
cities. However, traditional planning methods often face challenges in handling complex …
cities. However, traditional planning methods often face challenges in handling complex …
[HTML][HTML] Pioneering advanced security solutions for reinforcement learning-based adaptive key rotation in Zigbee networks
In the rapidly evolving landscape of Internet of Things (IoT), Zigbee networks have emerged
as a critical component for enabling wireless communication in a variety of applications …
as a critical component for enabling wireless communication in a variety of applications …
Energy-efficient mobile node localization using CVA technology and SAI algorithm
B Zhang, L Shen, J Yao, W Luo… - Frontiers in Energy …, 2024 - frontiersin.org
In the evolving landscape of the Internet of Things (IoT), Mobile Wireless Sensor Networks
(MWSN) play a pivotal role, particularly in dynamic environments requiring mobile sensing …
(MWSN) play a pivotal role, particularly in dynamic environments requiring mobile sensing …