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
Full text not available from this repository.Abstract
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 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/13647 |
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