Review on cross‐layer design for cognitive ad‐hoc and sensor network

Singhal, Chetna; Rajesh, A.

doi:10.1049/iet-com.2019.0636

Cited by 11 publications

(6 citation statements)

References 37 publications

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“…[40]: A study on cross-layer {TCP} performance in wireless ad hoc network 2018 12 Ref. [41]: Review of cross-layer design for cognitive ad-hoc and sensor network 2020 9…”

Section: Year Citationsmentioning

confidence: 99%

“…More recent reviews provide reviews and classifications of methods themselves. References [37,41] provide a classification of methods according to the layer combinations used in methods. Publications [28,[38][39][40] focus on classifying not all cross-layer methods but cross-layer methods belonging to the same layer: cross-layer routing protocols, cross-layer transport protocols, and cross-layer applications for streaming video.…”

Section: Year Citationsmentioning

confidence: 99%

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Cross-Layer Methods for Ad Hoc Networks—Review and Classification

Ivanov,

Tereshonok

2024

Future Internet

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The OSI model used to be a 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 optimization of multiple layers. The existing cross-layer methods classification is too complicated because it is based on the whole manifold of network model layer combinations, regardless of their importance. In this work, we review ad hoc network cross-layer methods, propose a new useful classification of cross-layer methods, and show future research directions in the development of ad hoc network cross-layer methods. The proposed classification can help to simplify the goal-oriented cross-layer protocol development.

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“…[40]: A study on cross-layer {TCP} performance in wireless ad hoc network 2018 12 Ref. [41]: Review of cross-layer design for cognitive ad-hoc and sensor network 2020 9…”

Section: Year Citationsmentioning

confidence: 99%

Section: Year Citationsmentioning

confidence: 99%

Cross-Layer Methods for Ad Hoc Networks—Review and Classification

Ivanov,

Tereshonok

2024

Future Internet

View full text Add to dashboard Cite

show abstract

“…More recent reviews provide reviews and classifications of methods themselves. Articles [33,38] provide a classification of methods according to the layer combinations used in methods. Publications [34][35][36][37] focus on classifying not all cross-layer methods, but cross-layer methods belonging to the same layer: cross-layer routing protocols, cross-layer transport protocols, cross-layer application for streaming video.…”

Section: Related Workmentioning

confidence: 99%

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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“…All such challenges cannot be solved by the traditional layered protocol design like OSI (Open System Interconnection). Hence, this concern demands new paradigm like cross-layer design techniques which can simultaneously address the wide range of communication challenges by considering multiple layers as found in the conventional protocol stack that resides on a cognitive sensor node [4]. This enables a significant performance improvement compared to conventional layering approach, where each layer functions independently with their own protocols.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2022

IJCNC

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The coupling of multiple protocol layers for a Cognitive Radio-based Industrial Internet of Ad-hoc Sensor Network, enables better interaction, coordination, and joint optimization of different protocols in achieving remarkable performance improvements. In this paper, network, and medium access control (MAC) layer functionalities are cross-layered by developing the joint strategy of routing and effective spectrum sensing and Dynamic Channel Selection (DCS) using the Reinforcement Learning (RL) algorithm. In an industrial ad-hoc scenario, the network layer utilizes the sensed spectrum and selected channel by MAC layer for next-hop routing. MAC layer utilizes the lowest known transmission delay of a channel for a single hop as computed by the network layer, which improves the MAC channel selection operation. The applied RLbased technique (Q learning) enables the CR Secondary Users (SUs) to sense, learn, and make the optimal decision on their environment of operations. The proposed RLCLD schemes improve the SU network performance up to 30% as compared to conventional methods.

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Review on cross‐layer design for cognitive ad‐hoc and sensor network

Cited by 11 publications

References 37 publications

Cross-Layer Methods for Ad Hoc Networks—Review and Classification

Cross-Layer Methods for Ad Hoc Networks—Review and Classification

Cross-layer Methods for Ad Hoc Networks Review and Classification

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