Survey on unmanned aerial vehicle networks: A cyber physical system perspective

H Wang, H Zhao, J Zhang, D Ma, J Li… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) networks are playing an important role in various areas due
to their agility and versatility, which have attracted significant attentions from both the …

Reinforcement learning-based algorithm for efficient and adaptive forwarding in named data networking

B Fu, L Qian, Y Zhu, L Wang - 2017 IEEE/CIC International …, 2017 - ieeexplore.ieee.org
In order to solve the severe issues of current TCP/IP Internet architecture, Named Data
Networking (NDN) recently attracts lots of researchers, deemed to be one of the most …

Adaptive q-routing with random echo and route memory

M Kavalerov, Y Shilova… - 2017 20th Conference of …, 2017 - ieeexplore.ieee.org
Mobile ad hoc networks require routing algorithms that provide high performance in terms of
delivery times of packets for dynamically changing topologies under various load conditions …

A reinforcement learning approach to network routing based on adaptive learning rates and route memory

M Kavalerov, Y Likhacheva, Y Shilova - SoutheastCon 2017, 2017 - ieeexplore.ieee.org
Mobile ad hoc networks may dynamically change their topology and system parameters.
They require efficient routing techniques that provide reasonably low delivery times for …

[PDF][PDF] Can artificial intelligence meet the cognitive networking challenge?

KZ Haigh, C Partridge - Dayton, OH, Sep, 2011 - cs.cmu.edu
Abstract Recent developments in Software Defined Radio technology have created the
opportunity to develop networks that are, in principle, highly adaptable and effective under a …

[PDF][PDF] AI technologies for tactical edge networks

KZ Haigh - keynote presentation for MobiHoc 2011 Workshop on …, 2011 - researchgate.net
The field of adaptable communication networks is a rich application area for artificial
intelligence technology. Recent developments in software defined radio technology have …

Q-AODV BASED ON REINFORCEMENT LEARNING ALGORITHM

S WU - asmedigitalcollection.asme.org
Wireless ad hoc networks are very important in modern communication fields, in which
routing protocols have been a hot research. AODV protocol has an important role in ad hoc …

[PDF][PDF] АЛГОРИТМ МАРШРУТИЗАЦИИ AQRERM С ОЦЕНКОЙ ВРЕМЕНИ ОЖИДАНИЯ В ОЧЕРЕДИ СОСЕДНЕГО УЗЛА

МВ Кавалеров, СН Рыбникова… - XIII Всероссийское …, 2019 - scholar.archive.org
Мобильные ad hoc сети могут динамически изменять свою топологию и системные
параметры. Для них требуются эффективные способы маршрутизации, которые …

[PDF][PDF] Improving Predictability of Adaptive Q-Routing

M Kavalerov, S Rybnikova… - Edited by Patrick Meumeu …, 2017 - archives.ecrts.org
Mobile ad hoc networks may dynamically change their topology and system parameters.
They require efficient routing techniques that provide predictable delivery times of packets to …

[引用][C] 基于RBF 神经网络的认知无线电认知引擎设计

江虹, 杨彦超, 伍春 - 系统仿真学报, 2012