Name
Abstract | ||
|---|---|---|
In wireless sensor network, robustness is one of the basic network performances, which influences the network lifetime. At the same time, because of the bad environment, the comprehensive failure probability is increased and the cascading failure is caused, which reduces the network robustness. To solve the problem, a failure probability of nodes is described by constructing a model of comprehensive failure according to node energy consumption. Then based on the characteristics of the dynamic changes of variable load, a cascading failure model is proposed. After that, a channel allocation model based on game is constructed by integrating the comprehensive failure probability, cascading failure coefficient, interference and residual energy into utility function to reduce interference and improve network robustness. The theoretical analysis proves the existence of Nash Equilibrium of the channel allocation model. And then, based on the Best Response Dynamics, a game-based channel allocation algorithm for improving robustness with dynamic adjustment is established. The results indicate that the proposed algorithm could converge to Nash Equilibrium. And it has good characteristics of anti-interference, robustness, and so on. (C) 2020 Elsevier B.V. All rights reserved. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.phycom.2020.101230 | PHYSICAL COMMUNICATION |
Keywords | DocType | Volume |
Wireless sensor network, Channel allocation, Robustness, Game | Journal | 43 |
ISSN | Citations | PageRank |
1874-4907 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| ning yao | 1 | 5 | 2.81 |
| Xiaochen Hao | 2 | 37 | 5.77 |
| Dong Liu | 3 | 0 | 0.34 |
| Weijing Liu | 4 | 0 | 0.34 |
| Bai Chen | 5 | 20 | 14.41 |