Enhancing Data Transmission In a Wireless Communication Network Using Fuzzy Based Smartcity Technique
Keywords:
Wireless, Transmission line, communication, Fuzzy, SmartcityAbstract
The rapid evolution of wireless communication networks within the framework of smart cities has necessitated the development of intelligent solutions to overcome data transmission challenges, such as latency, interference, signal degradation, and unreliable bandwidth allocation. This study presents a fuzzy-based Smart City technique aimed at enhancing data transmission efficiency and reliability in wireless communication networks. The proposed approach integrates fuzzy logic controllers to dynamically manage communication parameters, including signal strength, network congestion, and channel availability, enabling adaptive transmission strategies in real-time. By incorporating context-aware data prioritization and intelligent routing decisions, the fuzzy-based system ensures optimal data flow, particularly in densely populated urban environments with high device connectivity. Simulation results demonstrate significant improvements in throughput, reduced packet loss, and lower transmission delays when compared to conventional techniques. This research highlights the potential of fuzzy logic in addressing complex, nonlinear issues in smart city wireless infrastructure, paving the way for more resilient and responsive communication networks. The results obtained were the conventional bandwidth that caused poor data transmission in a wireless communication network was 0.7 Mbps. On the other hand, when FUZZY based smart city technique was integrated into the system, it instantly increased to 1 Mbps and the conventional multipath fading that caused poor data transmission in a wireless communication network was 1.3 µs. Meanwhile, when FUZZY based smart city technique was imbibed into the system, it simultaneously reduced to1 µs.. Finally, with these results obtained, it definitely meant that the percentage enhancement in the data transmission in a wireless communication network when FUZZY based smart city technique was incorporated in the system was 30%.
References
Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2006). Wireless sensor networks: A survey. Computer Networks, 38(4), 393–422.
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660.
Yadav, A., & Singh, S. (2019). A fuzzy logic-based approach to improve QoS in wireless networks. International Journal of Wireless & Mobile Networks (IJWMN), 11(2), 1–10.
Zadeh, L. A. (1996). Fuzzy logic = computing with words. IEEE Transactions on Fuzzy Systems, 4(2), 103–111.
Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of Things for smart cities. IEEE Internet of Things Journal, 1(1), 22–32.
