Survey on artificial intelligence based techniques for emerging robotic communication

SH Alsamhi, O Ma, MS Ansari - Telecommunication Systems, 2019 - Springer
This paper reviews the current development of artificial intelligence (AI) techniques for the
application area of robot communication. The research of the control and operation of …

Convergence of machine learning and robotics communication in collaborative assembly: mobility, connectivity and future perspectives

SH Alsamhi, O Ma, MS Ansari - Journal of Intelligent & Robotic Systems, 2020 - Springer
Collaborative assemblies of robots are promising the next generation of robot applications
by ensuring that safe and reliable robots work collectively toward a common goal. To …

Transport Control Protocol (TCP) enhancement over wireless environment: Issues and challenges

C Goswami, R Shahane - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
With the advancement of technology, handheld devices like smart phones, ipods, PDAs, etc.
have become very popular now-a-days. The real flavors of these emerging smart …

TCP CERL+: Revisiting TCP congestion control in wireless networks with random loss

T Saedi, H El-Ocla - Wireless Networks, 2021 - Springer
In this paper, we analyze the performance of wireless networks subject to random loss. In
this regard, we revisit our TCP Congestion Control Enhancement for Random Loss (CERL) …

Concurrent cross-technology communication among heterogeneous IoT devices

Z Chi, Y Li, H Sun, Y Yao, T Zhu - IEEE/ACM Transactions on …, 2019 - ieeexplore.ieee.org
The exponentially increasing number of Internet of Things (IoT) devices and the data
generated by these devices introduces the spectrum crisis at the already crowded ISM 2.4 …

[PDF][PDF] Performance improvement in multihop wireless mobile adhoc networks

Q Jabeen, F Khan, S Khan, MA Jan - the Journal Applied …, 2016 - researchgate.net
In this paper, a cross layer scheme is proposed to accomplish the flow contention of TCP in
multi-hop adhoc networks. The proposed scheme collects the useful information from …

Extreme learning machine for estimating blocking probability of bufferless OBS/OPS networks

HC Leung, CS Leung, EWM Wong… - Journal of Optical …, 2017 - opg.optica.org
Recently, the neural network approach for the blocking probability evaluation on optical
networks was proposed, in which the inputs of the neural network were the optical network …

G-FANET: an ambient network formation between ground and flying ad hoc networks

V Sharma, R Kumar - Telecommunication Systems, 2017 - Springer
Networking with aerial vehicles has evolved considerably over a period of time. Its
applications range across a wide spectrum covering areas of military and civilian activities …

FRUDP: A reliable data transport protocol for aeronautical ad hoc networks

Q Luo, J Wang - IEEE Journal on Selected Areas in …, 2018 - ieeexplore.ieee.org
In this paper, we cope with the reliable and efficient data transfer problem in aeronautical ad
hoc networks (AANETs). AANETs are different from terrestrial ad hoc networks and these …

TCP-RLLD: TCP with reinforcement learning based loss differentiation for mobile adhoc networks

HK Molia, AD Kothari - Wireless Networks, 2023 - Springer
Abstract TCP-Transmission Control Protocol provides connection oriented and reliable
communication. TCP's default consideration of any loss as a cause of network congestion …