scholarly journals Evaluation of Cross-Layer Rate-Aware Routing in a Wireless Mesh Network Test Bed

2007 ◽  
Vol 2007 (1) ◽  
Author(s):  
L. Iannone ◽  
K. Kabassanov ◽  
S. Fdida
Keyword(s):  
Wireless Mesh Network ◽  
Mesh Network ◽  
Cross Layer ◽  
Test Bed ◽  
Wireless Mesh

scholarly journals Context-Based Topology Control for Wireless Mesh Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-16
Author(s):  
Pragasen Mudali ◽  
Matthew Olusegun Adigun
Keyword(s):  
Topology Control ◽  
Wireless Mesh Network ◽  
Network Performance ◽  
Mesh Networks ◽  
Negative Impact ◽  
Mesh Network ◽  
Adjustment Process ◽  
Spatial Reuse ◽  
Test Bed ◽  
Wireless Mesh

Topology Control has been shown to provide several benefits to wireless ad hoc and mesh networks. However these benefits have largely been demonstrated using simulation-based evaluations. In this paper, we demonstrate the negative impact that the PlainTC Topology Control prototype has on topology stability. This instability is found to be caused by the large number of transceiver power adjustments undertaken by the prototype. A context-based solution is offered to reduce the number of transceiver power adjustments undertaken without sacrificing the cumulative transceiver power savings and spatial reuse advantages gained from employing Topology Control in an infrastructure wireless mesh network. We propose the context-based PlainTC+ prototype and show that incorporating context information in the transceiver power adjustment process significantly reduces topology instability. In addition, improvements to network performance arising from the improved topology stability are also observed. Future plans to add real-time context-awareness to PlainTC+ will have the scheme being prototyped in a software-defined wireless mesh network test-bed being planned.

A Cross-Layer Design Scheme between Spectrum Decision and Routing in Cognitive Wireless Mesh Networks

2013 ◽  
Vol 347-350 ◽  
pp. 2001-2006
Author(s):  
Guo An Zhang ◽  
Yun Yang ◽  
Yan Cheng Ji
Keyword(s):  
Spectrum Sharing ◽  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Mesh Network ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Decision Algorithm ◽  
Wireless Mesh ◽  
Simulation Results ◽  
Spectrum Decision

Spectrum sharing technologies can achieve the maximum usage of spectrum resources flexibly and high-efficiently, which relieves the current spectrum crunch situation availably. In a multi-hop cognitive wireless mesh network scenario coexisting with a TDMA/FDMA cellular network, an effective scheme of cross-layer design between link-layer spectrum decision and network-layer routing is proposed, on the basis of the combination of spectrum underlay and spectrum overlay. Simulation results verify that the scheme outperforms distinctly the shortest path based random spectrum decision algorithm on network end-to-end performance.

scholarly journals Mobility models for next generation wireless mesh network

2021 ◽  
Vol 22 (1) ◽  
pp. 379
Author(s):  
Tsehay Admassu Assegie ◽  
Tamilarasi Suresh ◽  
R. Subhashni ◽  
Deepika M
Keyword(s):  
Wireless Network ◽  
Wireless Mesh Network ◽  
Local Area Network ◽  
Mobility Model ◽  
Mesh Network ◽  
Area Network ◽  
Mobility Models ◽  
Next Generation ◽  
Test Bed ◽  
Wireless Mesh

<span>Wireless mesh network (WMN) is a new trend in wireless communication promising greater flexibility, reliability, and performance over traditional wireless local area network (WLAN). Test bed analysis and emulation plays an essential role in valuation of software defined wireless network and node mobility is the prominent feature of next generation software defined wireless network. In this study, the mobility models employed for moving mobile stations in software defined wireless network are explored. Moreover, the importance of mobility model within software defined wireless mesh network for enhancing the performance through handover-based load balancing is analyzed. The mobility models for the next generation software defined wireless network are explored. Furthermore, we have presented the mobility models in the mininet-Wi-Fi test bed, and evaluated the performance of Gauss Marko’s mobility model.</span>

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