Limiting the interest-packet forwarding in information-centric wireless mesh networks

Author(s):  
Dalbert Matos Mascarenhas ◽  
Igor Monteiro Moraes
2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
S. Q. Huang ◽  
G. C. Wang ◽  
H. H. Zhen ◽  
Z. Zhang

To achieve a valid effect of wireless mesh networks against selfish nodes and selfish behaviors in the packets forwarding, an approach named mixed MPS-BNS strategy is proposed in this paper. The proposed strategy is based on the Maximum Payoff Strategy (MPS) and the Best Neighbor Strategy (BNS). In this strategy, every node plays a packet forwarding game with its neighbors and records the total payoff of the game. After one round of play, each player chooses the MPS or BNS strategy for certain probabilities and updates the strategy accordingly. In MPS strategy, each node chooses a strategy that will get the maximum payoff according to its neighbor’s strategy. In BNS strategy, each node follows the strategy of its neighbor with the maximum total payoff and then enters the next round of play. The simulation analysis has shown that MPS-BNS strategy is able to evolve to the maximum expected level of average payoff with faster speed than the pure BNS strategy, especially in the packets forwarding beginning with a low cooperation level. It is concluded that MPS-BNS strategy is effective in fighting against selfishness in different levels and can achieve a preferable performance.


2011 ◽  
Vol 17 (5) ◽  
pp. 1273-1285 ◽  
Author(s):  
Xiumin Wang ◽  
Kui Wu ◽  
Jianping Wang ◽  
Yinlong Xu

2018 ◽  
Vol 6 (1) ◽  
pp. 238-243
Author(s):  
Pushpender Sarao ◽  
◽  
T. Raghavendra Gupta ◽  
S. Suresh ◽  
◽  
...  

2010 ◽  
Vol 21 (6) ◽  
pp. 1404-1415
Author(s):  
Wei-Qi HU ◽  
Shi-Hong ZOU ◽  
Shi-Duan CHENG ◽  
Bo HU ◽  
Wen-Dong WANG

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