Quality of service-aware source-initiated ad-hoc routing

Medidi, Sirisha; Vik, Knut-Helge

doi:10.1109/sahcn.2004.1381908

Cited by 19 publications

(12 citation statements)

References 57 publications

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“…So, there is an effect of queuing delay on traffic intensity. In mobile environment, the traffic intensity can be calculated in terms of the packet frequency as [17],…”

Section: Proposed Modelmentioning

confidence: 99%

An Improved QoS and Ranking Paths for Multimedia Traffic over MANETs

Ahmad¹,

Reddy²,

Damodaram

et al. 2014

2014 International Conference on Information Technology

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The communication quality in multi-hop networks entirely depends on the selection of a multi-hop path from source to destination among the potential candidate paths. Finding a path with good throughput in multi hop MANETS (Mobile Ad Hoc Networks) is a critical job of QoS routing. Existing approaches finds the optimal path based on the best data rates among all links. However, other measures such as energy, delay and traffic intensity also impact in determining the optimal path, especially for multimedia traffic. In this paper, we present a model for optimal routing by considering the network route parameters namely distance, bandwidth, traffic intensity, queuing delay and energy utilization of the link. We use greedy approach for selecting a path in multi hop network. Our approach is useful in analyzing the candidate route weights and selects the optimal path from source to destination. In addition to finding best route, our protocol also ranks the candidate paths that enable alternative paths when there is a failure in the current path.

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“…So, there is an effect of queuing delay on traffic intensity. In mobile environment, the traffic intensity can be calculated in terms of the packet frequency as [17],…”

Section: Proposed Modelmentioning

confidence: 99%

An Improved QoS and Ranking Paths for Multimedia Traffic over MANETs

Ahmad¹,

Reddy²,

Damodaram

et al. 2014

2014 International Conference on Information Technology

View full text Add to dashboard Cite

show abstract

“…In the QuaSAR [29] protocol, the authors implement four different QoS metrics (battery power, signal strength, bandwidth, and latency). The route discovery algorithm selects routes based on these collected metrics and a precedence/ranking passed down from the application (if the application does not specify a precedence, then the default metric precedence is battery power, signal strength, bandwidth, and latency).…”

Section: Qos Routingmentioning

confidence: 99%

A framework for route configurability in power-constrained wireless mesh networks

Shillingford

Poellabauer

2010

Ad Hoc Networks

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“…However, their analytical model assumes TDMA MAC protocol. Medidi and Vik [15] proposed a QoS aware source initiated ad-hoc routing protocol (QuaSAR). In QuaSAR, QoS control is added to traditional routing schemes by considering various link metrics such as battery power, signal strength, bandwidth and latency but no admission control scheme is proposed.…”

Section: Qos Strategies In Manetsmentioning

confidence: 99%

On supporting reliable QoS in multi-hop multi-rate mobile ad hoc networks

Prabhakaran

2009

Wireless Netw

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Due to complicated situations such as node/link interference and traffic load, quality of service support in multi-hop multi-rate ad hoc networks remains a challenging issue. Furthermore, when mobility is present, because of frequent route change, it is even more difficult to maintain high level performance for existing real-time flows that may not tolerate serious performance degradation. In this paper, we focus on the issue of providing sufficient QoS in networks with moderate to high node mobility. We first introduce route available bandwidth (RAB), a major index for prediction of flow performance along a specific path. RAB considers various important factors such as intra-flow interference, effective link bandwidth, and channel busy time. Then, we devise a DSR based admission control scheme where the source node accepts/rejects a flow according to the RAB of the collected route when it receives a route reply packet. To handle mobility, we incorporate an additional metric of route reliability (RR) so that a path with sufficient bandwidth and reliability can be obtained. Results show that with admission control, existing flows experiences around 80-95% average delivery ratio, even for 20 m/s maximum moving speed, which is much better than 30-60% average delivery ratio when admission control is absent.

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Quality of service-aware source-initiated ad-hoc routing

Cited by 19 publications

References 57 publications

An Improved QoS and Ranking Paths for Multimedia Traffic over MANETs

An Improved QoS and Ranking Paths for Multimedia Traffic over MANETs

A framework for route configurability in power-constrained wireless mesh networks

On supporting reliable QoS in multi-hop multi-rate mobile ad hoc networks

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