NDLI: A GA-Based Effective Fault-Tolerant Model for Channel Allocation in Mobile Computing

Content Provider	IEEE Xplore Digital Library
Author	Khanbary, L.M.O. Vidyarthi, D.P.
Copyright Year	1967
Abstract	Efficient channel allocation to mobile hosts is of utmost importance in a cellular network. A genetic algorithm (GA), which is a useful tool in solving optimization problems, is explored to design a fault-tolerant cellular channel allocation model that allows a cell to continue communicating with its mobile hosts, even if there are insufficient channels available in the cell. Sometimes, the load over a cell may increase to the extent that it needs more channels than it actually has in order to handle the traffic. On the other hand, it is quite possible that the load in some other cell is less than its channel capacity, resulting in underutilization of the channels. This problem is solved by temporarily taking unutilized channels from cells that have lesser load and allocating them to the cells that are overloaded. We propose a model that reuses available channels more efficiently. The model also considers the handoff by using the reserved channel technique. A reserved pool of channels makes the model fault tolerant. Thus, the proposed work uses GA for fault-tolerant dynamic channel allocation to minimize the average number of blocked hosts and handoff failures in the mobile computing network. Simulation experiments evaluate the performance of the proposed model. Comparison of the results with the two recent earlier models reveals that the proposed model works better in serving mobile hosts.
Sponsorship	IEEE Vehicular Technology Society
Starting Page	1823
Ending Page	1833
Page Count	11
File Size	447309
File Format	PDF
ISSN	00189545
Volume Number	57
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault tolerance Channel allocation Mobile computing Land mobile radio cellular systems Genetic algorithms Design optimization Algorithm design and analysis Traffic control Channel capacity Computer networks mobile communication Channel reuse fault-tolerant model genetic algorithm handoff Genetic algorithm fault-tolerant channel reuse
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

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