Research On Energy-Efficient Data Transmission Technology In Wireless Sensor Networks

With the characteristics of easy deployment,self-organizing,low-cost,strong self-healing capability,wireless sensor networks have shown broad application prospects in military reconnaissance,environment monitoring,medical treatment,space exploration,disaster relief;and so on.Node localization is the basis for numerous applications of wireless sensor network,application of novel compressed sensing technology can improve data transmission efficiency of wireless sensor network.Therefore,it is very important to design node localization and data collection mechanisms fitting for features of wire less sensor networks.Focusing on the problems of wide deployment,limited energy supply of wireless sensor network,we primarily study the clustering routing technology to extend the life cycle of wireless sensor network.Besides,we also propose a reverse multicast tree construction algorithm based on traditional genetic algorithm given the crucial NP hard property of routing tree building problem between cluster head and cluster head as well as the head and base station.In order to avoid problems that genetic algorithm converges fast and fall into local optimum,as well as to enlarge the searching space of genetic algorithm and get more optimal solutions,an improved encoding version of genetic algorithm is raised by proposing a tree coding method and thus a cluster tree coding genetic algorithm based on this cluster tree coding manner.Further,in view of the energy balance in the wireless sensor network and the fact that more energy is consumed for clusters near the base station to forward data,a non-uniform clustering model is applied in this paper which aims to ensure the balanced energy consumption of wireless sensor network.On the basis of the best cluster numbers in clustering routing algorithm,we introduce virtual grid under the above constraints,we can calculate the distribution of the grid.Therefore,we propose the non-uniform clustering routing algorithm of virtual grid,to balance the network energy consumption and prolong the life cycle of the network.Effectiveness of our proposed algorithm is validated by a series of simulation experiments.In the process of data collection,we use the data fusion algorithm to make a comprehensive treatment of the data collected by each sensor.In this way,we can improve the efficiency of the system by taking the advantage of multi-sensor joint operation.The emergence of compressed sensing theory for wireless sensor network data fusion research provides a new research direction.Therefore,the compressed sensing data collection tree model is established in this paper and compressed sensing technology is applied in this data collection process to reduce the network data traffic,and the network energy consumption.To find the most optimal compressed sensing data collection tree,we put forward a compressed sensing data collection tree algorithm based on simulated annealing algorithm to extend the life cycle of the network.Further,given the data recovery problem,we put forward the sparse degree of breadth index set adaptive matching pursuit algorithm,to realize accurate reconstruction of signals event without knowing signal sparse degree.A large number of simulation experiments verify the effectiveness of the proposed algorithm in this paper.