Telecommunications

Nov 22


The IUP Journal of Telecommunications

ISSN: 0975-5551

A 'peer reviewed' journal indexed on Cabell's Directory, and also distributed by EBSCO and Proquest Database

It is a quarterly journal that publishes multidisciplinary research papers encompassing conceptual, theoretical and empirical studies relating to: Modeling, analysis, design and management of telecommunication systems; Transmission systems and Signaling system; Time division switching systems; Radio waves, Radar imaging, Satellite communication; Artificial Intelligence; Fibre optics and Photonic switching; Performance evaluation of Wide Area and Local Networks; Security issues of Mobile Networks; Standardization and regulatory issues, etc.

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Focus Areas
  • Broadband Communication Systems
  • Wireless Communication Networks
  • Optical Communication
  • Satellite Communications
  • Target Detection and Tracking
  • Intelligent Networks and Services
  • Internet Protocol Design and Traffic Analysis
  • Digital Image Processing
  • Multi-User Detection Techniques
  • Radar and Sonar Technologies
  • VLSI Designing
  • Digital Audio Broadcasting System
  • Multiplexing Queuing Theor
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Article   Price (₹) Buy
Design and Performance Analysis of Compact Coronavirus-Shaped Microstrip Patch Antenna for Wireless Applications
50
Performance Analysis of TCP Variants in Wireless Ad-Hoc Networks Using Different Routing Protocols
50
AI in Transportation: Current and Promising Applications
50
     
Contents : (Nov 2022)

Design and Performance Analysis of Compact Coronavirus-Shaped Microstrip Patch Antenna for Wireless Applications
Sura Khalil Ibrahim and Zainab Taha Jebur

The paper proposes a compact-sized coronavirus-shaped Microstrip Patch Antenna (MPA) for wireless communication. A 15-20 GHz band of frequency is employed to analyze the effect of the shape on antenna's performance and characteristics. A low-cost FR4 dielectric substrate is used in the design and implementation of the coronavirus-shaped antenna, with suitable dimensions. The proposed antenna has six patterns depending upon the band of frequencies, and the same have been analyzed. The results show that the realized gain is better than -15 dB when using frequencies around 17 GHz, and total efficiency is about 70%. CST microwave software is used for designing and analysis.


© 2022 IUP. All Rights Reserved.

Article Price : ₹ 50

Performance Analysis of TCP Variants in Wireless Ad-Hoc Networks Using Different Routing Protocols
Kodavalla Durga Avinash and N Sasikala Devi

Transmission Control Protocol (TCP) is a communications standard that enables application programs and computing devices to exchange messages over a network. Since the 1970s, several TCP variants have been introduced to deal with the fast increasing network capacities, especially in high Bandwidth Delay Product (high-BDP) networks. The significance of this protocol stems from its numerous congestion management mechanisms, which manipulate TCP sending rates and force TCP to respond to congestion alerts. This is a transport layer protocol that interacts with the Internet Protocol (IP), which defines how devices send data packets to one another. The paper makes a comparative analysis of TCP variants like TCP Tahoe, TCP Reno, TCP New Reno, TCP Vegas and TCP Sack over different routing protocols like AODV, DSDV and DSR, considering factors such as Packet Delivery Ratio (PDR), Delay (milliseconds), and Throughput (Megabits per second), while the mobile nodes are in motion (considering different speeds) using the Network Simulation (NS-2) software.


© 2022 IUP. All Rights Reserved.

Article Price : ₹ 50

AI in Transportation: Current and Promising Applications
T Aditya Sai Srinivas, G Mahalaxmi, R Varaprasad, A David Donald and G Thippanna

Artificial Intelligence (AI) is advancing rapidly, and this has improved the efficiency of many businesses and industries, including the transportation industry. AI in transportation might minimize travel, lower emissions and make roadways safer. Some examples of AI technologies used in the transportation sector include: Artificial Neural Networks (ANN), Genetic Algorithms (GA), Simulated Annealing (SA), Artificial Immune System (AIS), Ant Colony Optimizer (ACO) and Bee Colony Optimizer (BCO). The paper explores how AI is being used to address some of the most pressing issues in transportation today, including traffic control and safety. The limitations of AI transport are also discussed.


© 2022 IUP. All Rights Reserved.

Article Price : ₹ 50