Results 21 to 30 of about 68,917 (127)

Enhanced Network Metric Prediction for Machine Learning-Based Cyber Security of a Software-Defined UAV Relay Network

IEEE Access
Unmanned aerial vehicles (UAVs), e.g., drones, have become crucial assets in the military’s fleet of vehicles. UAVs can provide limited bandwidth for tactical communications and can act as relays over battlefields.
Dennis Agnew, Alvaro Del Aguila, Janise Mcnair   +2 more
doaj   +1 more source

Planning method of electric vehicle public charging network with overloaded charging nodes

Diance yu yibiao
With the rapid growth of electric vehicles, public charging network becomes increasingly busy and suffers more from overloaded (arrival rates exceed service rates) charging nodes, resulting in excessively long queuing waiting time.
CHEN Zhuo, JIANG Zhouxi, CHEN Kang, GAO Xun   +3 more
doaj   +1 more source

TCN-Based DDoS Detection and Mitigation in 5G Healthcare-IoT: A Frequency Monitoring and Dynamic Threshold Approach

IEEE Access
The Internet of Things (IoT) revolutionizes precision healthcare by enhancing patient care and reducing costs. However, this technology poses challenges in securing Healthcare-IoT (H-IoT) devices, as low-latency packet transmission increases ...
Mirza Akhi, Ciaran Eising, Lubna Luxmi Dhirani   +2 more
doaj   +1 more source

Management Policy in Urban Rail Transit System: Trade-Off between Social Distancing and Service Efficiency Using Simulation in the Post-Epidemic Era

Systems
The past COVID-19 pandemic introduced the world to the necessity of dealing with the trade-off between minimizing probability of contagion, and providing people with services they need.
Zhichao Cao, Avishai (Avi) Ceder, Zihan Wang, Silin Zhang, Yaoyao Wang   +4 more
doaj   +1 more source

Wireless sensor network optimization and dynamic scheduling for coal mine gas inspection

Meikuang Anquan
For the “long corridor” and “high dynamic” scenarios in underground coal mines, where the topology of the wireless sensor network (WSN) for gas inspection frequently changes, energy consumption and latency are difficult to balance, and abnormal alarms ...
Jian DENG, Lifeng LI, Shaoyong SHANG, Yonggang WANG, Ming HAO, Yuan JING, Jie LIU, Xiong SU, Xiaotong KANG, Dongliang WANG, Yan SHAO, Lihui TAN, Yuguo TAN, Haowei XU   +13 more
doaj   +1 more source

Dynamic Network Loading Using Cell Transition Model

, 2016
Static traffic assignment models cannot capture traffic dynamics. Time varying flows, queuing, are not accounted in static models hence traffic dynamics. Hence to replicate the real time scenario Dynamic traffic assignment models are required.
A. Priya
semanticscholar   +1 more source

Dynamic traffic aware active queue management using deep reinforcement learning

Electronics Letters, 2019
Traditional design of active queue management (AQM) assumes a fixed model at an operating point and lacks planning. AQMs like controlled delay provide some planning but are insensitive to dynamic traffic.
Weiqi Jin, Rentao Gu, Yuefeng Ji, Tao Dong, Jie Yin, Zhihui Liu   +5 more
semanticscholar   +1 more source

Research on cloud-edge-end distributed collaborative computing based on deep reinforcement learning. [PDF]

Sci Rep
Wu C, Ye Q, Wang Y, Zhang D, Zhang W, Jiang X.   +5 more
europepmc   +1 more source

An integrated queuing and certainty factor theory model for efficient edge computing in remote patient monitoring systems. [PDF]

Sci Rep
RahimiZadeh K, Beheshti A, Javadi B, Yazdani A.   +3 more
europepmc   +1 more source

Latency and energy-aware adaptive service migration in mobile edge computing. [PDF]

Sci Rep
Li L, Lv J, Wang S, Hu C, Sun G, Li N.
europepmc   +1 more source