title: The robustness analysis of wireless sensor networks under uncertain interference.
abstract: Based on the complex network theory, robustness analysis of condition monitoring wireless sensor network under uncertain interference is present. In the evolution of the topology of sensor networks, the density weighted algebraic connectivity is taken into account, and the phenomenon of removing and repairing the link and node in the network is discussed. Numerical simulation is conducted to explore algebraic connectivity characteristics and network robustness performance. It is found that nodes density has the effect on algebraic connectivity distribution in the random graph model; high density nodes carry more connections, use more throughputs, and may be more unreliable. Moreover, the results show that, when network should be more error tolerant or robust by repairing nodes or adding new nodes, the network should be better clustered in median and high scale wireless sensor networks and be meshing topology in small scale networks.
authors.affiliation: School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China ; Department of Control Engineering, Chengdu University of Information Technology, Chengdu 610225, China.
authors.forename: Changjian
authors.initials: C
authors.lastname: Deng
mesh_terms: D003195:Computer Communication Networks; D003198:Computer Simulation; D015233:Models, Statistical; D008962:Models, Theoretical; D035501:Uncertainty; D059015:Wireless Technology