User-Priority-Based Power Control Over the D2D Assisted Internet of Vehicles for Mobile Health

2017 ◽  
Vol 4 (3) ◽  
pp. 824-831 ◽  
Author(s):  
Di Lin ◽  
Yu Tang ◽  
Yuanzhe Yao ◽  
Athanasios V. Vasilakos
Keyword(s):  
Power Control ◽  
Mobile Health ◽  
Internet Of Vehicles ◽  
User Priority

User-Priority-Based Power Control in D2D Networks for Mobile Health

2018 ◽  
Vol 12 (4) ◽  
pp. 3142-3150 ◽  
Author(s):  
Di Lin ◽  
Yu Tang ◽  
Athanasios V. Vasilakos
Keyword(s):  
Power Control ◽  
Mobile Health ◽  
User Priority

scholarly journals Optimized Power Control in Internet of Vehicles Based on Serial Interference Cancellation and User Matching

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Xiaodong Du ◽  
Libin Wang ◽  
Siming Zeng ◽  
Jianli Zhao ◽  
Ze Chen ◽  
...  
Keyword(s):  
Power Control ◽  
Interference Cancellation ◽  
Internet Of Vehicles

scholarly journals Hybrid power control and contention window adaptation for channel congestion problem in internet of vehicles network

2022 ◽  
Vol 12 (1) ◽  
pp. 497
Author(s):  
Hayder M. Amer ◽  
Ethar Abduljabbar Hadi ◽  
Lamyaa Ghaleb Shihab ◽  
Hawraa H. Al Mohammed ◽  
Mohammed J. Khami
Keyword(s):  
Ad Hoc Networks ◽  
Power Control ◽  
Congestion Control ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Wireless Channel ◽  
Contention Window ◽  
Internet Of Vehicles ◽  
Hybrid Power ◽  
Hoc Networks

Technology such as vehicular ad hoc networks can be used to enhance the convenience and safety of passenger and drivers. The vehicular ad hoc networks safety applications suffer from performance degradation due to channel congestion in high-density situations. In order to improve vehicular ad hoc networks reliability, performance, and safety, wireless channel congestion should be examined. Features of vehicular networks such as high transmission frequency, fast topology change, high mobility, high disconnection make the congestion control is a challenging task. In this paper, a new congestion control approach is proposed based on the concept of hybrid power control and contention window to ensure a reliable and safe communications architecture within the internet of vehicles network. The proposed approach performance is investigated using an urban scenario. Simulation results show that the network performance has been enhanced by using the hybrid developed strategy in terms of received messages, delay time, messages loss, data collision and congestion ratio.

scholarly journals Self-adaptive power control with deep reinforcement learning for millimeter-wave Internet-of-vehicles video caching

2020 ◽  
Vol 22 (4) ◽  
pp. 326-337
Author(s):  
Dohyun Kwon ◽  
Joongheon Kim ◽  
David A. Mohaisen ◽  
Wonjun Lee
Keyword(s):  
Reinforcement Learning ◽  
Power Control ◽  
Millimeter Wave ◽  
Internet Of Vehicles ◽  
Video Caching ◽  
Adaptive Power ◽  
Self Adaptive

scholarly journals A ROBUST CALCULUS OFFLOADING STRUCTURE FOR AMBULANT HEALTH INQUIRIES

2021 ◽  
pp. 144-151
Author(s):  
Pitta Rebecca Alekhya ◽  
K. Tulasi Krishna Kumar Nainar
Keyword(s):  
Resource Utilization ◽  
Mobile Health ◽  
Completion Time ◽  
Edge Computing ◽  
Computation Offloading ◽  
Utilization Rate ◽  
Task Completion ◽  
Base Line ◽  
Internet Of Vehicles ◽  
Multi Access

Recently, research intergrading medicine and Artificial Intelligence has attracted extensive attention. Mobile health has emerged as a promising paradigm for improving people’s work and life in the future. However, high mobility of mobile devices and limited resources pose challenges for users to deal with the applications in mobile health that require large amount of computational resources. In this paper, a novel computation offloading mechanism is proposed in the environments combining of the Internet of Vehicles and Multi-Access Edge Computing. Through the proposed mechanism, mobile health applications are divided into several parts and can be offloaded to appropriate nearby vehicles while meeting the requirements of application completion time, energy consumption, and resource utilization. A particle swarm optimization based approach is proposed to optimize the aforementioned computation offloading problem in a specific medical application. Evaluations of the proposed algorithms against local computing method serves as base line method are conducted via extensive simulations. The average task completion time saved by our proposed task allocation scheme increases continually compared with the local solution. Specially, the global resource utilization rate increased from 71.8% to 94.5% compared with the local execution time. KEY WORDS: Computation Offloading, Mobile Health, Internet of Vehicles, Multi-Access Edge Computing.

Peak Power Control in Multicarrier Communications

2007 ◽  
Author(s):  
Simon Litsyn
Keyword(s):  
Power Control ◽  
Peak Power ◽  
Multicarrier Communications

Fundamentals of Fluid Power Control

2009 ◽  
Author(s):  
John Watton
Keyword(s):  
Power Control ◽  
Fluid Power

Generalized mathematical model and features of adaptive automatic frequency and power control systems

2015 ◽  
Vol 2015 (4) ◽  
pp. 14-23 ◽  
Author(s):  
М.M. Kulyk ◽  
◽  
I.V. Dryomin ◽  
Keyword(s):  
Mathematical Model ◽  
Power Control ◽  
Control Systems ◽  
Automatic Frequency
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