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Enregistrement W4242545016 · doi:10.1002/dac.1030

Special issue on ubiquitous wireless mesh networks

2009· article· en· W4242545016 sur OpenAlexaff
Mieso K. Denko, Isaac Woungang, Han‐Chieh Chao, Pedro Cuenca

Notice bibliographique

RevueInternational Journal of Communication Systems · 2009
Typearticle
Langueen
DomaineComputer Science
ThématiqueMobile Ad Hoc Networks
Établissements canadiensToronto Metropolitan UniversityUniversity of Guelph
Organismes subventionnairesnon disponible
Mots-clésComputer scienceComputer networkMunicipal wireless networkWireless networkWireless WANWireless mesh networkWireless broadbandWi-Fi arrayHeterogeneous networkWirelessFixed wirelessTelecommunications

Résumé

récupéré en direct d'OpenAlex

Wireless mesh networks are becoming promising communication technologies for broadband wireless access by providing wireless backbone to mobile devices over multi-hop wireless communication systems. This emerging technology has a great potential for ubiquitous wireless network access anywhere and anytime. A number of wireless networking and communication technologies that support ubiquitous wireless services and applications are currently in wide spread use. Wi-Fi and WiMax-based wireless mesh networks are the examples of such technologies currently under deployment, fostering broadband wireless network access and supporting different communication ranges. While these technologies provide flexible communication compared with wired networks and single hop communication models, they are still restricted to the existing wireless backbone coverage. The convergence of ubiquitous computing and networking with wireless and mobile networking technologies opens a path to a promising opportunity for ubiquitous wireless mesh networks and services. Indeed, this provides a great potential for enabling ubiquitous wireless network access in the next generation mobile networks. However, due to the heterogeneous nature of networks, devices and services, ubiquitous multi-hop wireless access technology introduces new research challenges in all areas of network protocol stack, including security, interoperability and performance challenges. The main aim of this special issue of the International Journal of Communication Systems is to address some of the challenges described above and to publish state-of-the-art research results in the area of ubiquitous wireless mesh networks, with focus on innovative architectures, networking protocols, communication models, services and applications. We hope that this issue will be a useful reference for current and future research in the area of ubiquitous wireless mesh networks. We received 24 papers for this special issue from researchers across the globe. Each paper was reviewed by at least three qualified reviewers. Owing to space limitations we have accepted only four papers. The acceptance rate for this special issue is about 17%. The selected papers address important topics in wireless mesh networks covering security, cross-layer-based solutions for channel assignment, forward error correction and dynamic frame aggregation schemes. The first article, ‘FLSAC: A New Scheme to Defend against Greedy Behavior in Wireless Mesh Networks’ authored by Djahel and Nait-Abdesselam proposes a fuzzy logic-based scheme to defend against greedy behavior in wireless mesh networks. The proposed scheme is implemented in the mesh router/gateway to monitor the behavior of the attached wireless nodes and report any deviation from the proper use of the protocol. The simulation results of the proposed scheme show robustness and its ability to detect and quickly identify any adaptive attacker. The second article, ‘A Cross-Layer Architecture for Effective Channel Assignment with Load-Balancing in Multi-Radio Multi-Path Wireless Mesh Networks’ authored by Bononi, Felice, Molinaro and Pizzi proposes a cross-layer architecture that consists of a novel joint multi-path routing and channel allocation scheme in multi-radio wireless mesh networks. The proposed solution also includes a load-balancing scheme that allows the distribution of traffic among the available disjoint paths. The performance improvement was demonstrated in the simulation settings for different network topologies and traffic workloads. The third article, ‘An Adaptive Multi-hop Forward Error Correction Protection Scheme for Video Streaming over Wireless Mesh Networks’ authored by Tsai, Shieh, Hwang and Deng proposes a scheme that can achieve the timely loss recovery of streamed video by dynamically adjusting the number of sub-paths and the forward error correction redundancy level. The article presents experimental results that have shown that the proposed scheme yields a higher peak signal-to-noise ratio than either the end-to-end or hop-by-hop schemes. The results have also shown that the performance of the proposed scheme can be optimized by specifying an appropriate value of the control parameter in order to adjust the sensitivity of the scheme to changes in the network conditions. The last article, ‘Efficient Dynamic Frame Aggregation in IEEE 802.11s Mesh Networks’ authored by Lin, Yeh, Yang, Ku, Tsao and Lai proposes a novel dynamic aggregation selection and scheduling algorithm that can dynamically adopt the appropriate aggregation mechanism for IEEE 802.11s mesh network. The paper discusses the characteristics and benefits of three aggregation mechanisms. Simulation results demonstrate that the algorithm significantly increases the channel efficiency of the 802.11 MAC and further improves the overall throughput of the wireless mesh network. The guest editors would like to thank all the authors and reviewers for their valuable contributions to this special issue. They would also like to thank Prof. Mohammad S. Obaidat, Editor-in-Chief of the International Journal of Communication Systems ( IJCS) for hosting this special issue. Thanks are also due to all editorial assistants of the journal for their support. The guest editors hope that the papers selected in this special issue will become useful resources for researchers and practitioners in the area of ubiquitous and wireless mesh networking.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,080
Score d'incertitude au seuil0,269

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,007
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0040,003
Études des sciences et des technologies0,0020,001
Communication savante0,0070,005
Science ouverte0,0030,003
Intégrité de la recherche0,0040,005
Charge utile insuffisante (le modèle a refusé de juger)0,0800,039

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,016
Tête enseignante GPT0,281
Écart entre enseignants0,266 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2009
Routes d'admission1
Résumé présentoui

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