Simulation and Analysis of Multicast Routing Algorithm for 2-D Mesh Network on Chip

2013 ◽  
Vol 6 (4) ◽  
pp. 754-762
Author(s):  
U. Saravanaku ◽  
R. Rangarajan
2014 ◽  
Vol 70 (1) ◽  
pp. 385-407 ◽  
Author(s):  
Su Hu ◽  
Wenzheng Xu ◽  
Jing Lin ◽  
Xiaola Lin

2017 ◽  
Vol 27 (02) ◽  
pp. 1850022 ◽  
Author(s):  
Ling Wang ◽  
Terrence Mak

In 2D mesh Network on Chips (NoCs), fault-tolerant algorithms usually deactivate healthy nodes to form rectangular or convex fault blocks. However, the deactivated nodes can possibly form an available tunnel in a faulty block. We propose a method to discover these tunnels, and propose a fault-tolerant routing algorithm to route messages through such paths such that the overall communication performance is improved. In addition, the algorithm is deadlock-free by prohibiting some turns. Simulation results demonstrate that the reuse of the sacrificed nodes in fault blocks can significantly reduce the average message latency.


2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Rakesh Matam ◽  
Somanath Tripathy

Multicast is an indispensable communication technique in wireless mesh network (WMN). Many applications in WMN including multicast TV, audio and video conferencing, and multiplayer social gaming use multicast transmission. On the other hand, security in multicast transmissions is crucial, without which the network services are significantly disrupted. Existing secure routing protocols that address different active attacks are still vulnerable due to subtle nature of flaws in protocol design. Moreover, existing secure routing protocols assume that adversarial nodes cannot share an out-of-band communication channel which rules out the possibility of wormhole attack. In this paper, we propose SEMRAW (SEcure Multicast Routing Algorithm for Wireless mesh network) that is resistant against all known active threats including wormhole attack. SEMRAW employs digital signatures to prevent a malicious node from gaining illegitimate access to the message contents. Security of SEMRAW is evaluated using the simulation paradigm approach.


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