A QoS Architecture for Real-Time Transactions Guarantee in Mobile Ad Hoc Networks

Baccouche, Leila; Rekik, Jihen Drira

doi:10.1007/s11277-015-2466-3

Cited by 7 publications

(2 citation statements)

References 21 publications

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“…In this category network updates are sent out on a periodical basis on an average of five seconds which is used by nodes to update their routing tables. These update packets cause overhead but since all routes are available in nodes' tables, process delay decreases [14][15][16][17][18].…”

Section: B Proactive (Table-driven) Routing Protocolsmentioning

confidence: 99%

A QoS-Assured and Mobility-Aware Routing Protocol for MANETs

Mostafavi

Hakami

Paydar

2020

JOIV : Int. J. Inform. Visualization

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In Mobile Ad Hoc Networks (MANETs), lack of a fixed infrastructure, dynamic network topology, device mobility and data communication over wireless channels make the multi-hop routing a very challenging task. Due to mission-critical applications of MANET, dealing with these challenges through the design of a Quality of Service (QoS)-assured protocol is a substantial problem. Mobility in MANETs is commonly considered as a negative factor on quality, although we suggest that the right approach to mobility awareness using wisely selected metrics can lead to a robust and QoS-assured protocol. In this paper, we propose QMAR-AODV, a QoS-assured Mobility-Aware Routing protocol which is an optimized version of AODV protocol. We utilize a combination of stability and quality metrics including Mobility Ratio (MR(C,E)) between nodes in a route, Energy Efficiency and congestion load to choose the most stable and QoS-assured routes. Our simulation results show that QMAR-AODV protocol outperforms E2E-LREEMR and reduces route instability, end-to-end delay, data retransmissions and packet loss by 8.3% 10.9% 10.6% and 5.4 respectively, while increases data reception and network throughput by 5.1% and 4.8% respectively, compared to E2E-LREEMR routing protocol.

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Section: B Proactive (Table-driven) Routing Protocolsmentioning

confidence: 99%

A QoS-Assured and Mobility-Aware Routing Protocol for MANETs

Mostafavi

Hakami

Paydar

2020

JOIV : Int. J. Inform. Visualization

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“…Although numerous research works have been mainly focused on the network layer, video delivery can be improved through cross-layer techniques since some functions cannot be assigned to a single layer. In this sense new solutions involving several abstraction layers have been proposed [24][25][26][27]. Hence, it is worth considering cross-layer routing solutions, which can extract useful information from other networks layers.…”

Section: Related Workmentioning

confidence: 99%

A QoS-aware routing protocol with adaptive feedback scheme for video streaming for mobile networks

Castellanos

Guerri

Arce

2016

Computer Communications

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ElsevierCastellanos Hernández, WE.; Guerri Cebollada, JC.; Arce Vila, P. (2016). A QoS-aware routing protocol with adaptive feedback scheme for video streaming for mobile networks. ABSTRACTOne of the major challenges for the transmission of time-sensitive data like video over Mobile Ad-Hoc Networks (MANETs) is the deployment of an end-to-end QoS support mechanism. Therefore, several approaches and enhancements have been proposed concerning the routing protocols. In this paper we propose a new QoS routing protocol based on AODV (named AQA-AODV), which creates routes according to application QoS requirements. We have introduced link and path available bandwidth estimation mechanisms and an adaptive scheme that can provide feedback to the source node about the current network state, to allow the application to appropriately adjust the transmission rate. In the same way, we propose a route recovery approach into the AQA-AODV protocol, which provides a mechanism to detect the link failures in a route and re-establish the connections taking into account the conditions of QoS that have been established during the previous route discovery phase. The simulation results reveal performance improvements in terms of packet delay, number of link failures and connection setup latency while we make more efficient use of the available bandwidth than other protocols like AODV and QAODV. In terms of video transmission, the obtained results prove that the combined use of AQA-AODV and the scalable video coding provides an efficient platform for supporting rate-adaptive video streaming.

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