QOS of efficient GA-EMAN routing method for future mobile tele-emergency system

D. V. Viswacheda, and Mohammad Sigit Arifianto, and Mohd Yunus Hamid, and Liawas Barukang, (2007) QOS of efficient GA-EMAN routing method for future mobile tele-emergency system. In: 2007 International Conference on Intelligent and Advanced Systems (ICIAS 2007), 25-28 November 2007, Kuala Lumpur, Malaysia.

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Official URL: http://dx.doi.org/10.1109/ICIAS.2007.4658412

Abstract

This paper discusses the routing optimization for mobile ad hoc network (MANET), using enhanced genetic algorithm (GA). In MANET routing, the mobile wireless nodes suffer signal interference due to the existence of the other active nodes. For Wireless Telemedicine application, there exists a dense group of active nodes inside a small area in MANET, and scattered active nodes surrounding the area. The small and densely populated mobile nodes are at the center of the disaster area, in which less interference and less traffic is preferred. To alleviate the interference and traffic problem, there should be a method to route the traffic from and to the gateway without presenting extra load to the area, while maintaining the quality of the links from the gateway to the destinations within an acceptable level. Our approach is through gateway routing technique using GA, incorporated into MANET, hence the name GA Enhanced Mobile Ad Hoc Network (GA-EMAN). The result of our simulation in gateway routing of mobile nodes over GA-EMAN is presented. The results shows that the best alternative routes given by GA-EMAN can replace the conventional MANET routing protocol. ©2007 IEEE.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:GA-enhanced MANET (GA-EMAN), Genetic algorithm (GA), Mobile ad hoc network (MANET), Routing optimization, Voice over IP (VoIP), Wireless mobile node
Subjects:?? TK5101-6720 ??
Divisions:SCHOOL > School of Engineering and Information Technology
ID Code:2817
Deposited By:IR Admin
Deposited On:20 Apr 2011 17:38
Last Modified:29 Dec 2014 16:35

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