Cross-Layer Simulation and Optimization for Mobile Ad-Hoc Networks

Beylot, André‐Luc; Dhaou, Riadh; Gauthier, Vincent; Becker, Monique

doi:10.1007/0-387-23150-1_2

Cited by 4 publications

(8 citation statements)

References 12 publications

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“…In summary, AODV SNR-SR outperforms AODV SNR and the conventional AODV, because it gains more throughputs with better algorithm mechanism as described in Sections 3 and 4, respectively. The proposed scheme can also improve the route discovery efficiency and make routing protocol more adaptive with channel-aware for D2D requirement as mentioned in [6,[8][9][10], where the conventional schemes cannot solve.…”

Section: Aodv Snr-sr Performance and Discussionmentioning

confidence: 99%

“…Study in [9] discussed the important of SNR as link quality to use in routing protocol. The paper suggested crosslayer mechanism with SNR information to obtain better routing.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, to achieve intelligent D2D communication with resource constraint and intermittent connectivity, the devices require intelligent protocols which the conventional routing protocols cannot solve [8].The conventional routing protocol that uses hop count as a metric for determining the path is perceived no longer appropriate for applications that require a good quality communication path. The protocol should be more adaptive and has to consider the link quality being used as the path to deliver the data [9,10]. The routing algorithm that helps network find a reliable path will improve the network resilience against path break and packet loss.…”

mentioning

confidence: 99%

“…On the other hand, [15] and [16] proposed a routing metric that considered the expected transmission time and high throughput route selection with medium time metric, respectively. In the case of QoC, a mechanism to improve multihop routing using SNR by adding the SNR information into Route Request (RREQ) was proposed in [9,17]. The use of SNR and Receive Power (RP) to find the route was proposed by [18,19] by adding up the SNR information into Route Reply (RREP) mechanism.…”

mentioning

confidence: 99%

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Selective Route Based on SNR with Cross-Layer Scheme in Wireless Ad Hoc Network

Istikmal¹,

Kurniawan²,

Hendrawan³

2017

Journal of Computer Networks and Communications

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In this study, we developed network and throughput formulation models and proposed new method of the routing protocol algorithm with a cross-layer scheme based on signal-to-noise ratio (SNR). This method is an enhancement of routing protocol ad hoc on-demand distance vector (AODV). This proposed scheme uses selective route based on the SNR threshold in the reverse route mechanism. We developed AODV SNR-selective route (AODV SNR-SR) for a mechanism better than AODV SNR, that is, the routing protocol that used average or sum of path SNR, and also better than AODV which is hop-count-based. We also used selective reverse route based on SNR mechanism, replacing the earlier method to avoid routing overhead. The simulation results show that AODV SNR-SR outperforms AODV SNR and AODV in terms of throughput, end-to-end delay, and routing overhead. This proposed method is expected to support Device-to-Device (D2D) communications that are concerned with the quality of the channel awareness in the development of the future Fifth Generation (5G).

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Section: Aodv Snr-sr Performance and Discussionmentioning

confidence: 99%

“…Study in [9] discussed the important of SNR as link quality to use in routing protocol. The paper suggested crosslayer mechanism with SNR information to obtain better routing.…”

Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Selective Route Based on SNR with Cross-Layer Scheme in Wireless Ad Hoc Network

Istikmal¹,

Kurniawan²,

Hendrawan³

2017

Journal of Computer Networks and Communications

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“…Some researchers already tried or suggested to integrate a kind of SNIR based criterium in the routing algorithms (cf. [17], [16] and [18]), but no maintenance process is proposed in [17] and [18] uses a quite different approach.…”

Section: Introductionmentioning

confidence: 99%

Cross-Layer Interaction in Wireless Ad Hoc Networks: A Practical Example

Gauthier¹,

Marot²,

Becker³

2007

Recent Advances in Modeling and Simulation Tools for Communication Networks and Services

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This paper presents the design and the performance evaluation of a joined process between the PHY (PHYsical) layer and routing layer in a multi-hop wireless ad hoc networks. This cross-layer interaction between the PHY and routing layers allows each node in an ad hoc network to evaluate the performance of each path in its routing table in terms of Bit Error Rate (BER) and to classify each path accordingly. Routing information from poor quality links are not forwarded leading to the selection of high quality links during the routing process. An implementation of our cross-layer algorithm based on Ad-hoc On-demand Distance Vector (AODV) is presented along with simulation results showing significant improvements in terms of additional throughput and lower BER. Furthermore, inherent of our mechanism's design, the network overhead introduced by routing protocols is reduced.

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Cross-layer Methods for Ad Hoc Networks Review and Classification

Ivanov,

Tereshonok

2023

Preprint

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OSI model used to be common network model for years. In the case of ad hoc networks with dynamic topology and difficult radio communications conditions, gradual departure is happening from the classical kind of OSI network model with a clear delineation of layers (physical, channel, network, transport, application) to the cross-layer approach. The layers of the network model in ad hoc networks strongly influence each other. Thus, the cross-layer approach can improve the performance of an ad hoc network by jointly developing protocols using interaction and collaborative optimisation of multiple layers. The existing cross-layer methods classification is too complicated, because it’s based on the whole manifold of network model layers combinations, regardless their importance. In this work, we review ad hoc networks cross-layer methods, propose the new useful classification of cross-layer methods, and show future research directions in ad hoc networks cross-layer methods development. The proposed classification can help to simplify the goal-oriented cross-layer protocol development.

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Cross-Layer Simulation and Optimization for Mobile Ad-Hoc Networks

Cited by 4 publications

References 12 publications

Selective Route Based on SNR with Cross-Layer Scheme in Wireless Ad Hoc Network

Selective Route Based on SNR with Cross-Layer Scheme in Wireless Ad Hoc Network

Cross-Layer Interaction in Wireless Ad Hoc Networks: A Practical Example

Cross-layer Methods for Ad Hoc Networks Review and Classification

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