Congestion Control Algorithm Based On Wireless Multimedia Sensor Network Node Localization

Congestion control technology is an effectiv method of resolving the problem of network congestion.In the cross research field of computer science,control theory and operations research etc,congestion control is an important way to enhance the overall system performance.At the same time,it is an important research direction of multidisciplinary fusion technology.Resource constrained is the most direct cause of network congestion,but ample effective resources is still unable to completely avoid network congestion phenomenon.Therefore grasps the system from the overall layout structure and optimize the allocation of resources to improve the network function has guiding significance.Presently,congestion control schem used deterministic approach,but its plan function is weak.Therefore,there are many limitations in practical applications.In this paper,the research on congestion control based on wireless multimedia sensor network node localization system.Through structural optimization and resource scheduling management technology system constructed a congestion control model in the multi-objective network node positioning under uncertainty.And the model of the key algorithm have been studied in detail.First of all,structural stability is the decisive factor in wireless multimedia sensor network.And it is also necessary for system operation reliability and scalability.In order to maximize use of network resources,this paper puts forward node re-deployment strategy on the basis of energy equilibrium theory,and on this basis to further expand to the three dimensional space.Nodes in monitoring area has macro sense.It can intelligent detection,filtering network topology network environment to ensure the efficient transmission of information.Secondly,positioning efficiency determines the wireless multimedia sensor network efficiency.Aiming at the shortcomings of the existing network in congestion prediction,this paper lays stress on rough sets theory and grey relational theory of fusion technology.It is used to judge multiple target positioning priority in resource-constrained environments.At the same time to avoid the uncertainty factors in the process of the positioning of the congestion control,we introduce the fuzzy positioning strategy.In addition,the two-dimensional localization strategy is extended to three dimensional positioning which can effectively increase the credibility of network congestion control.Then,Multiple nodes reliability of information transmission is the key to the WMSN node positioning system congestion control assessment.On the basis of congestion prediction,this paper based on non-cooperation game theory and economic efficient pricing model to improve the node information transmission strategy.Emergency transport than ordinary transport priority,so priority access to the dynamic buffer mechanism for identification of key chain optimization.According to the change of entropy of information,system can real-time monitoring and intelligent evaluation information transmission.Dynamic buffering and transmission planning in the process of the adaptive control can effectively reduce the transmission network congestion probability.In the end,by Monte Carlo method,WMSN node localization congestion control simulation experiment is done.The simulation and experiment results confirm that system optimization algorithm can improve the overall performance to achieve high efficiency steady intelligent network congestion control.