Journal of Information Technology and Cyber Security Engineering

The timing of traffic signals is essential to the future of reducing traffic and increasing urban mobility. This is executed in such a manner that in this work, a multielement genetic algorithm (MEGA) modification is employed to do an optimal setting of traffic light signals in a new manner. The proposed method adaptively changes green time, cycle length and phase sequence depending upon the real-time available actual traffic flow data by improving the traditional genetic algorithms with adaptive crossover, mutation, and selection operations. The simulation results indicated that the mean vehicle delay, mean queue length, and throughput have substantially mitigated vehicles of various traffic conditions. Adaptive traffic control systems are suitable to the MEGA optimisation owing to the fact that it is more responsive and efficient compared to the conventional ones. This approach to addressing the smart transportation systems issue offers a data-driven, scalable solution in more and more complex urban environments.

Keywords : Artificial intelligence, GA, Optimization, Signal parameters, Transportation system

Author : K Srikanth and K Hima Bindu

Title : Optimising Traffic Light Signal Parameters Through Multielement Genetic Algorithm Modification

Volume/Issue : 2025;01(02)

Page No : 01-04

In this work, the MW-5000 transceiver module, the special device created to provide the high-frequency wireless communications, is utilized to study the performance of data transmissions at 5.8 GHz. The analysis is done on different environmental conditions and is interested in signal strength, transmission range, data throughput and resistance to interference. To measure communication reliability important properties, such as, bit error rate (BER), packet loss and delay were studied under controlled research. In spite of the advantages of the low congestion and the available capacity of the 5.8 GHz frequency band, it suffers less resistance to attenuation and line-of-sight issues. The results indicate that the MW-5000 has stable throughput, low error rate and active performance within moderate range. The given work illuminates the best way of applying the 5.8 GHz spectrum on the wireless communication system which is used in industries, the Internet of Things, and high-speed data processing.

Keywords : FSK, Radio, Frequency MW-5000

Author : P Karuna Priya

Title : Analyzing Data Transmission at 5.8 GHz with MW-5000

Volume/Issue : 2025;01(02)

Page No : 05-07

The new approach described in this work enables dynamic selection of optimal path to be used to facilitate effective data communication throughout electromagnetic interference (EMI) scenario to ensure secure communication channel. The system locates paths of minimal interference and maximum reliability by constantly observing the state of the network and the quality of signal. Its technique enhances robustness on communication in general as it minimises the loss, delay and transmission errors as it priorises the paths with minimal EMI effect. Simulation results prove the effectiveness of the algorithm in the steady data flow on various networks topologies, and interference cases. It is a very useful technique in applications that require high data reliability and integrity, e.g., in wireless communication, automation in industry, or Internet of Things systems. The proposed technique offers a active, malleable strategy of mitigating EMI-related disturbances which is reliable and safe data transfer.

Keywords : Shielding effectiveness, Optimal route selection, Electromagnetic interference, MAC hash function, Secure data transmission

Author : K Srikanth

Title : An Algorithm for Safe Data Transfer Using the Best Route Selection in the Event of Electromagnetic Interference

Volume/Issue : 2025;01(02)

Page No : 08-11