Bandwidth Allocation for Bi-Directional End-to-End Paths in a Last-Mile Wireless Mesh Network

2009 ◽  
Author(s):  
Ka-Lok Hung ◽  
Brahim Bensaou
Keyword(s):  
Bandwidth Allocation ◽  
Wireless Mesh Network ◽  
Mesh Network ◽  
Wireless Mesh ◽  
Last Mile ◽  
End To End

Optimization of Multicast End-to-End Delay in Multi-Radio Wireless Mesh Networks

2014 ◽  
Vol 687-691 ◽  
pp. 2975-2978
Author(s):  
Yan An Kang ◽  
Ai Ping Yan ◽  
Gui Xiang Xue
Keyword(s):  
Wireless Mesh Network ◽  
Mesh Network ◽  
Global Flow ◽  
Routing Metric ◽  
Queuing Delay ◽  
Wireless Mesh ◽  
End To End Delay ◽  
Proposed Model ◽  
End To End ◽  
Flow Interference

Multi-radio wireless mesh network (MR-WMN) is one of the key access techniques in Mobile Internet. However, current 802.11-based MR-WMN is not able to provide low multicast end-to-end delay. To address this problem, we first propose a layered and analytical model by combining overlapping channel assignment with multi-path routing strategies. The proposed model can be used as a guide on multicast design. It decoupled multicast delay into transmission delay in the MAC layer and queuing delay in the Mesh layer based on that it derived a new multicast routing metric that had low end-to-end delay. Second, we prove that finding the minimum global flow interference solution is a NP-Complete problem an<I the relationship between global flow interference and network node densities is distributed in accord with double-Pareto lognormal (dP1N) distribution. Based on these two results, the DCA algorithm is proposed in order to minimum global flow interference which can efficiently reduce the multicast transmission delay in MAC layer. Last, to avoid the best wireless link being congested, we propose the flow adaptive-based MMRA algorithm by making use of the M R-M ED routing metric and the multi-path routing design philosophy, which took local channel congestion into account and can efficiently reduce the queuing delay in Mesh layer. Simulation result and comparison of the common algorithm MCM both show that the proposed model accurately characterizes the multicast delay in multi-radio wireless mesh network and the combination of the DCA and MMRA algorithms efficiently reduce the multicast end-to-end delay.

An end-to-end channel allocation scheme for a wireless mesh network

2013 ◽  
Vol 27 (12) ◽  
pp. 4407-4429 ◽  
Author(s):  
Shiao-Li Tsao ◽  
Jiun-Jang Su ◽  
Kuei-Li Huang ◽  
Yung-Chien Shih ◽  
Chien-Chao Tseng
Keyword(s):  
Wireless Mesh Network ◽  
Channel Allocation ◽  
Mesh Network ◽  
Allocation Scheme ◽  
Wireless Mesh ◽  
End To End

scholarly journals KINERJA PROTOKOL ROUTING PADA LINGKUNGAN WIRELESS MESH NETWORK DENGAN COMBINED SCALABLE VIDEO CODING

2018 ◽  
Author(s):  
PARMA HADI RANTELINGGI
Keyword(s):  
Video Coding ◽  
Packet Loss ◽  
Wireless Mesh Network ◽  
Video Transmission ◽  
Scalable Video Coding ◽  
Mesh Network ◽  
Scalable Video ◽  
Wireless Mesh ◽  
End To End Delay ◽  
End To End

Wireless mesh network (WMN) technology operating on IEEE 802.11 standard is a wireless networkingtechnology consists of mesh routers and mesh clients, combined with the internet, mobile technology and sensor networks. Along with the development of technology and the increasing human needs, video transmission through wireless network becomes more important and necessary. Generally, the discussion of video transmission through wireless network is still in general, hence it provides a challenge in the use of throughput, end-to-end delay, packet loss and PSNR. Combined Scalable Video Coding (CSCV) is a new scheme for the development of H.264 / MPEG-4. In this research we use CSCV for video delivery with the IEEE 802.11 standard in WMN environment, which is applied to AODV, DSDV and DSR routing protocols. In order to obtain the performance of each protocol, we used testing metrics end-to-end delay, throughput, packet loss and PSNR. Simulator NS-2 is used for analysis and measurement of data. The results of simulation experiments conducted showed that AODV has the lowest end-to-end delay at 0.57 seconds, the DSR has a good value in the throughput at 31 kbps and PSNR at 22.7 dB, and DSDV has a low value in packet loss at 56.4%.

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