Abstract
Now-a-days finding a path from source to destination for practical multimedia applications by satisfying the QoS requirement is a big challenge. Achieving quality of service in a mobile adhoc network is an NP complete problem due to its dynamic nature of the network and limited resource availability. In this study, we propose a new QoS module which uses genetic algorithm based approach to find an optimal path from the source to the destination. An optimal path is selected by a suitable encoding scheme where the possible paths are in the form of strings. Analysis is done in a proactive protocol (OLSR) and for a reactive protocol (AODV) and the comparison between them was given as OLSRGA and AODVGA. To achieve Quality of Service (QoS) in the network, we have taken link state information such as delay and bandwidth in the network.
Highlights
Emerging of Mobile Adhoc Networks (MANETs) with infrastructureless network, which has dynamically varying topology has brought a vast progress and growth in the field of wireless and multimedia applications
Due to dynamic nature of the network, MANET must be able to provide the required quality of service for the delivery of real time communications such as audio and video that poses a number of different technical challenges and new definitions (Crawley et al, 1998) ad hoc networks present unique advanced challenges, including the design of protocols for mobility management, effective routing, data transport, security, power management and Quality-of-Service (QoS) provisioning
To achieve proper QoS routing, an optimal path is to be found between the source and destination
Summary
Emerging of Mobile Adhoc Networks (MANETs) with infrastructureless network, which has dynamically varying topology has brought a vast progress and growth in the field of wireless and multimedia applications. Due to dynamic nature of the network, MANET must be able to provide the required quality of service for the delivery of real time communications such as audio and video that poses a number of different technical challenges and new definitions (Crawley et al, 1998) ad hoc networks present unique advanced challenges, including the design of protocols for mobility management, effective routing, data transport, security, power management and Quality-of-Service (QoS) provisioning. Once these problems are solved, the practical use of MANETs will be realizable. Finding an optimal path in a network to support QoS is not easy because it has been proven to be an NP-complete problem (Yussof and Ong, 2007)
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