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John, S. N. and Adewale, Adeyinka A. and Ndujiuba, Charles Uzoanya and Onyiagha, G. and Idoko, Dawn O. and Anoprienko, A. Y. (2019) A NEURO-FUZZY MODEL FOR INTELLIGENT LAST MILE ROUTING. International Journal of Civil Engineering and Technology, 10 (1). pp. 2341-2356. ISSN 0976-6308 and ISSN Online: 0976-6316

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In recent times, routing packets from source to destination has become crucial and more traffic control mechanisms are used to determine the best effort services on the network. These strategies when employed help to ensure a reduction in link latency and packet loss rate as well as optimal route selection for packet transmission. In this project, a novel algorithm based on neuro-fuzzy logic is proposed to handle routing intelligently. The proposed algorithm selects the optimal route for the transmission of packets by taking into consideration quality of service (QoS), and quality of experience (QoE), and the rate of packet transfer. From the results obtained, the neuro-fuzzy algorithm had an average end-to-end delay time of 0.545s

Item Type: Article
Uncontrolled Keywords: Routing, Computer Networks, Neuro-fuzzy, QoS, Performance
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 09 Oct 2020 12:00
Last Modified: 09 Oct 2020 12:00

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