Nov 22
The IUP Journal of Telecommunications
Focus
This issue contains three papers mainly addressing the challenges and solutions related to wireless links in terms of physical and traffic control layers. The first two papers are related to novel antenna design and data transmission through internet protocol, respectively. The last paper applies AI technique in enhancing the performance of vehicle transport applicable for emerging autonomous vehicle transport system.
In the modern portable high performance devices, usually an efficient programmable compact microstrip antenna is required to sweep the desired radio bands more effectively to achieve the required signal strength. The first paper "Design and Performance Analysis of Compact Coronavirus-Shaped Microstrip Patch Antenna for Wireless Applications" by Sura Khalil Ibrahim and Zainab Taha Jebur, proposes a compact-sized coronavirus-shaped Microstrip Patch Antenna (MPA) design over FR4 dielectric substrate suitable for 15 to 20 GHz frequency band. The proposed antenna has been analyzed using CST microwave software and observed a gain better than -15 dB at frequencies around 17 GHz with a total efficiency of about 70%. The fractal shape of the proposed antenna resembles a standard fractal antenna.
The second paper "Performance Analysis of TCP Variants in Wireless Ad-Hoc Networks Using Different Routing Protocols " by Kodavalla Durga Avinash and N Sasikala Devi, makes a comparative performance analysis of different types of Transmission Control Protocol (TCP) variants over routing protocols in terms of their packet delivery ratio, network delay and data throughput. The network performance has been evaluated using Network Simulation (NS-2) software under varied node mobility models. The results found that TCP Vegas is the best in Ad-Hoc On-Demand Distance Vector (AODV) routing protocol claiming zero packet loss at a lower average ETE delay, but with a slightly inferior throughput than the other TCP variants.
AI techniques are influencing network routing and traffic management engineering very much, and the same approach is attempted for road transport engineering and management. AI and deep learning approaches in finding solutions for road transport-related challenges might certainly minimize travel duration, lower pollutant emission and make roadways much safer. The last paper "AI in Transportation: Current and Promising Applications" by T Aditya Sai Srinivas, G Mahalaxmi, R Varaprasad, A David Donald and G Thippanna, reports the implications of AI for road transportation and explores its feasibility for self-driving cars, public transportation, disruptive urban mobility, automated incident detection and traffic management.
Consulting Editor
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| Article | Price (₹) | ||
| Design and Performance Analysis of Compact Coronavirus-Shaped Microstrip Patch Antenna for Wireless Applications |
100
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| Performance Analysis of TCP Variants in Wireless Ad-Hoc Networks Using Different Routing Protocols |
100
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| AI in Transportation: Current and Promising Applications |
100
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Design and Performance Analysis of Compact Coronavirus-Shaped Microstrip Patch Antenna for Wireless Applications
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.
Performance Analysis of TCP Variants in Wireless Ad-Hoc Networks Using Different Routing Protocols
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.
AI in Transportation: Current and Promising Applications
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.