全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

An efficient passive approach for quality of service routing in MANETs

Keywords: Mobile Ad hoc Networks (MANETs) , Quality of Service , bandwidth estimation , contention , admission control

Full-Text   Cite this paper   Add to My Lib

Abstract:

The application of Mobile Ad hoc Networks (MANETs) has been increasing everyday. Attractive features of MANETs are absence of infrastructure and decentralized nature. Routing protocols for mobile ad hoc networks have been explored extensively in recent years. Much of the work is aimed at finding a feasible route from a source to a destination without considering current network traffic and application requirements. This may lead to the network become overloaded due to heavy traffic and the application has no way to improve its erformance under a given network traffic condition. Many applications that use MANETs include multimedia data that require Quality of Service (QoS) support for effective communication. We approach the problem of providing Quality of Service in mobile ad hoc networks by the technique of bandwidth based path finding. This paper proposes a contention aware routing algorithm that incorporates an admission control scheme which is suitable for the mobile ad hoc networks. The Ad hoc On demand Distance Vector (AODV) routing protocol provides efficient route establishment between nodes with minimal control overhead and minimal route acquisition latency. In our work the modified AODV(M_AODV) establishes a path between the source and the destination meeting the application stipulated throughput requirement. Contention which is the inherent problem in MANET is considered effectively in this approach. M_AODV is implemented so that additional overhead requirement will be very less. In this paper, we present a scalable and efficient contention aware routing to support QoS in ad hoc networks. Simulation results show significant performance advantages of our approach when compared with existing approaches.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133