Topology Design And Application Of Wireless Sensor Network Based On Complex Network

Wireless sensor network is currently one of the key technologies, which is a multihued wireless ad hoc networks composed by a large number of micro sensor nodes. It is characterized by low power, low cost, distribution and self-organization. However, the ability of each node in collecting data and performing locally relevant computing is limited, also the energy of each node. Those will slowdown the development of Wireless sensor networks and result in Network congestion. Hence, it is imperative for us to optimize the network topology structure so as to save energy as much as possible, improve network survivability and ensure security. Therefore, the main content of this thesis is as follows.(1) We give a brief introduction of Wireless Sensor Network Theory and Complex network theory, in which the feature of Wireless Sensor Network, main technology and topology structure are included. We also introduce small-world-network model,as well as the Network survivability and related models briefly.(2) We constructed a Wireless sensor network topology based on related proximity graph. The simulation environment is multichannel control cell radio network. We adopt neighboring graph power control algorithm and multiple attenuation model to determine the number of nodes of Wireless sensor network topology, the localization of node. We exclude the redundance between network nodes dynamically to form a network link with continuous delivered data via the analysis of small world of cluster point hierarchical topology. This network link can ensure network connectivity and sparsity and achieve energy efficiency and energy balance simultaneously. Finally, we further verify the feasibility of the constructed topology by simulation analysis.(3) We investigate AHP cascading failure network model based on classical Petri net model. We find there is a flaw when this model is applied between Wireless sensor dynamic nodes, also it is not so much flexible. Hence, this thesis study this model further especially about the optimization in ime and level of this model.Finally, we obtain the optimized nvulnerability model.Based on the production of promoting the network self-organization effects and considerations of self-evolutionary, subsequent particle using PSO algorithm to evolve numerical model. Finally, we further validate the self-organizing ability of the optimized model.