Wireless mesh networks (WMNs) have emerged as a key technology for next-generation wireless networking. Because of their advantages over other wireless networks, WMNs are undergoing rapid progress and inspiring numerous applications. In multi-hop wireless mesh networks (WMNs) experience frequent link failures caused by channel interference, dynamic obstacles and/or applications’ bandwidth demands. These failures cause severe performance degradation in WMNs or require expensive, manual network management for their real-time recovery. This paper presents an Autonomous network Reconfiguration System (ARS) that enables a multi-radio WMN to autonomously recover from local link failures to preserve network performance. ARS also improves channel efficiency [6] [9] by more than 90% over the other recovery methods. Due to heterogeneous and fluctuating wireless link conditions, preserving the required performance of such WMNs is still a challenging problem.
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Wireless mesh networks (WMNs) have emerged as a key technology for next-generation wireless networking. Because of their advantages over other wireless networks, WMNs are undergoing rapid progress and inspiring numerous applications. In multi-hop wireless mesh networks (WMNs) experience frequent link failures caused by channel interference, dynamic obstacles and/or applications’ bandwidth demands. These failures cause severe performance degradation in WMNs or require expensive, manual network management for their real-time recovery. This paper presents an Autonomous network Reconfiguration System (ARS) that enables a multi-radio WMN to autonomously recover from local link failures to preserve network performance. ARS also improves channel efficiency [6] [9] by more than 90% over the other recovery methods. Due to heterogeneous and fluctuating wireless link conditions, preserving the required performance of such WMNs is still a challenging problem.
Working as an Assistant Professor in Department of Electronics & Telecommunication Engineering at DKTE'S Textile & Engineering Institute, Ichalkaranji, Maharashtra, India.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Wireless mesh networks (WMNs) have emerged as a key technology for next-generation wireless networking. Because of their advantages over other wireless networks, WMNs are undergoing rapid progress and inspiring numerous applications. In multi-hop wireless mesh networks (WMNs) experience frequent link failures caused by channel interference, dynamic obstacles and/or applications' bandwidth demands. These failures cause severe performance degradation in WMNs or require expensive, manual network management for their real-time recovery. This paper presents an Autonomous network Reconfiguration System (ARS) that enables a multi-radio WMN to autonomously recover from local link failures to preserve network performance. ARS also improves channel efficiency [6] [9] by more than 90% over the other recovery methods. Due to heterogeneous and fluctuating wireless link conditions, preserving the required performance of such WMNs is still a challenging problem. 76 pp. Englisch. N° de réf. du vendeur 9783330005709
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Davande VaibhavWorking as an Assistant Professor in Department of Electronics & Telecommunication Engineering at DKTE S Textile & Engineering Institute, Ichalkaranji, Maharashtra, India.Wireless mesh networks (WMNs) have emerged . N° de réf. du vendeur 159137113
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Wireless mesh networks (WMNs) have emerged as a key technology for next-generation wireless networking. Because of their advantages over other wireless networks, WMNs are undergoing rapid progress and inspiring numerous applications. In multi-hop wireless mesh networks (WMNs) experience frequent link failures caused by channel interference, dynamic obstacles and/or applications¿ bandwidth demands. These failures cause severe performance degradation in WMNs or require expensive, manual network management for their real-time recovery. This paper presents an Autonomous network Reconfiguration System (ARS) that enables a multi-radio WMN to autonomously recover from local link failures to preserve network performance. ARS also improves channel efficiency [6] [9] by more than 90% over the other recovery methods. Due to heterogeneous and fluctuating wireless link conditions, preserving the required performance of such WMNs is still a challenging problem.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. N° de réf. du vendeur 9783330005709
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Wireless mesh networks (WMNs) have emerged as a key technology for next-generation wireless networking. Because of their advantages over other wireless networks, WMNs are undergoing rapid progress and inspiring numerous applications. In multi-hop wireless mesh networks (WMNs) experience frequent link failures caused by channel interference, dynamic obstacles and/or applications' bandwidth demands. These failures cause severe performance degradation in WMNs or require expensive, manual network management for their real-time recovery. This paper presents an Autonomous network Reconfiguration System (ARS) that enables a multi-radio WMN to autonomously recover from local link failures to preserve network performance. ARS also improves channel efficiency [6] [9] by more than 90% over the other recovery methods. Due to heterogeneous and fluctuating wireless link conditions, preserving the required performance of such WMNs is still a challenging problem. N° de réf. du vendeur 9783330005709
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Taschenbuch. Etat : Neu. Self Reconfigurable Wireless Mesh Network Using NS-2 | Vaibhav Davande (u. a.) | Taschenbuch | 76 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783330005709 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 107951917
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