High-Throughput Multicast Routing Metrics in Wireless Mesh Networks

Author(s):  
S. Roy ◽  
D. Koutsonikolas ◽  
S. Das ◽  
Y.C. Hu
2008 ◽  
Vol 6 (6) ◽  
pp. 878-899 ◽  
Author(s):  
Sabyasachi Roy ◽  
Dimitrios Koutsonikolas ◽  
Saumitra Das ◽  
Y. Charlie Hu

2011 ◽  
Vol 55 (9) ◽  
pp. 2150-2167 ◽  
Author(s):  
Fangmin Li ◽  
Yilin Fang ◽  
Fei Hu ◽  
Xinhua Liu

2011 ◽  
Vol 10 (5) ◽  
pp. 653-668 ◽  
Author(s):  
Jing Dong ◽  
Reza Curtmola ◽  
Cristina Nita-Rotaru

2016 ◽  
Vol 15 (2) ◽  
pp. 928-937 ◽  
Author(s):  
Sandip Chakraborty ◽  
Sukumar Nandi ◽  
Subhrendu Chattopadhyay

2015 ◽  
Vol 740 ◽  
pp. 777-781
Author(s):  
Xiao Jian Shen ◽  
Zhi Gang Chen

Cognitive wireless mesh networks use network coding techniques can improve the transmission performance. Thus, a new load-balanced routing measure CRM-LB(Coding-aware Routing Metric with Load Balancing) based on network coding was presented, the CRM-LB increase of the considerations of traffic concentration level congestion level all nodes on the path P based on CRM(Coding-aware Routing Metric). Further proposed cognitive wireless mesh networks multicast routing CLR(Coding and Load-balancing Routing) based on the CRM-LB. The protocol can increase network coding opportunities, taking into account the network load balancing. The performance analysis and simulation results show that the protocol, under the premise of improving throughput, not only to better support network coding, and to achieve load balancing in network.


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