NDLI: Multi objective genetic algorithm based adaptive QoS routing in MANET

Content Provider	IEEE Xplore Digital Library
Author	Kotecha, K. Popat, S.
Copyright Year	2007
Description	Author affiliation: S.P. Univ., Vidyanagar (Kotecha, K.)
Abstract	Areas in which Genetic Algorithm (GA) excel is their ability to manipulate many parameters simultaneously, their use of parallelism enables them to produce multiple equally good solutions to the same problem. So GAs are most appropriate for multi objective optimization problems, in which there is no single value to be minimized or maximized, but having multiple objectives, usually with tradeoffs involved: one can only be improved at the expense of another. By looking at this strength of GA we have applied MultiObjective GA to support QoS Routing in Mobile Ad-hoc Network (MANET). A MANET is dynamic multi-hop wireless network established by a group of mobile nodes on a shared wireless channel by virtue of their proximity to each other. To support mobility to user generally low configured nodes are in use, so limited resources, dynamic network topology and link variations are the issues with MANET. So, Routing in such a dynamic environment is a challenging issue, lots of work has been done for routing in MANET but QoS (Quality of Service) requirements are not yet supported that way, and in this scenario to find optimal path is a problem of NP class. We have applied MultiObjective Genetic algorithm: to optimize four QoS parameters bandwidth constraints, delay, traffic from adjacent nodes, and number of hops, and to provide adaptive route in MANET. Our experiment is based on Network Simulator NS-2.28 and results show that GA based approach is better than traditional method.
Starting Page	1423
Ending Page	1428
File Size	271180
Page Count	6
File Format	PDF
ISBN	9781424413393
DOI	10.1109/CEC.2007.4424638
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-25
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithms Routing Mobile ad hoc networks Quality of service Ad hoc networks Spread spectrum communication Wireless networks Network topology Constraint optimization Bandwidth
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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