The International Journal of Computer Networks & Communications (IJCNC) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Networks & Communications. The journal focuses on all technical and practical aspects of Computer Networks & data Communications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced networking concepts and establishing new collaborations in these areas.

1. International Journal of Computer Networks &
Communications (IJCNC)
ISSN 0974 - 9322 (Online) ; 0975 - 2293 (Print)
(Scopus, ERA, WJCI Listed)
http://airccse.org/journal/ijcnc.html
Current Issue: January 2022, Volume 14, Number 1
A Novel Routing Strategy Towards Achieving Ultra-Low End-to-End Latency in 6G Networks
Satya R. Das1
, Sayan Sen Sarma2
, Mitrabinda Khuntia1
, Indranil Roy3
, Koushik Sinha3
and
Bhabani P. Sinha1
, 1
SOA University, India, 2
University of Calcutta, India, 3
Southern Illinois
University, USA
ITA: The Improved Throttled Algorithm of Load Balancing on Cloud Computing
Hieu N. Le and Hung C. Tran, Ho Chi Minh City Open University, Vietnam
Performance Analysis of Energy Optimized LTE-V2X Networks for Delay Sensitive Real-
Time Services
Palash Kundu, Atunu Sarkar and Bhaskar Sardar, Jadavpur University, India
A Combination of the Intrusion Detection System and the Open-source Firewall using
Python Language
Tuan Nguyen Kim1
, Tam Nguyen Tri2
, Lam Tran Nguyen2
and Duy Thai Truong2
, 1
Duy Tan
University, Vietnam, 2
Danang ICT Infrastructure Development Center, Vietnam
Adaptive Sensor Sensing Range to Maximise Lifetime of Wireless Sensor Network
Almamoon Naife Alauthman, Wan Nor Shuhadah Wan Nik, Nor Aida Mahiddin, Universiti
Sultan Zainal Abidin, Malaysia
Adaptive Random Spatial based Channel Estimation (ARSCE) for Millimeter Wave
MIMO System
Rajkumar M Vadgave1
, Manjula S2
and T S Vishwanath3
, 1
Veerappa Nisty Engineering College,
India, 2
Lingaraj Appa Engineering College, India, 3
Bheemanna Khandre Institute of Technology,
India

2. An Efficient Intrusion Detection System with Custom Features using FPA-Gradient Boost
Machine Learning Algorithm
D.V. Jeyanthi1
and B. Indrani2
, 1
Sourashtra College, India, 2
DDE, Madurai Kamaraj University,
India
On The Performance of Intrusion Detection Systems with Hidden Multilayer Neural
Network using DSD Training
Trong Thua Huynh, Hoang Thanh Nguyen, Posts and Telecommunications Institute of
Technology, Vietnam
https://airccse.org/journal/ijc2022.html