id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
bitcs-3040	Lusweti, Samuel; Odoyo, Collins ; Rambim, Dorothy 	An Enhanced Bio-Inspired Aco Model For Fault-Tolerant Networks	2023	8	.pdf	application/pdf	5605	330	61	An Enhanced Bio-Inspired Aco Model For Fault-Tolerant Networks Samuel W Lusweti 1 Masinde Muliro University of Science and Technology Email: lusweti015@gmail.com Collins O Odoyo 2 Masinde Muliro University of Science and Technology Email: codoyo@mmust.ac.ke ‹β› Dorothy A Rambim 3 Masinde Muliro University of Science and Technology Email: drambim@mmust.ac.ke Abstract—This research mainly aimed at establishing the current functionality of computer network systems, evaluating the causes of network faults, and developing an enhanced model based on the existing ACO model to help solve these network issues. There exists a necessity to employ bio-inspired systems in computer networks because 12 | Vol.4 No.1, January 2023 living organisms like the ant colonies look better organized in their daily activities than the current internet [4].	cache/bitcs-3040.pdf	txt/bitcs-3040.txt
