Some Key Technology Researches Of Ribbon Wireless Sensor Network

A wireless sensor network(WSN) made of a number of tiny sensor nodes is aself-organizing and distributed intelligence system which integrates the sensortechnology, microcomputer electrical technology, embedded computer technology andmodern wireless communication technology. WSNs have been becoming a realplatform of perceiving the world and processing information, is widely used innational defense, environmental monitoring, public security, intelligent traffic,intelligent household, medical care, terror and disaster protection, remote monitoringof dangerous area, automation production and manufacture and other fields.As a sensor network of the specific topology structure, a ribbon wireless sensornetwork (RWSN) is different from the general one that is distributed two dimensionalareas in many aspects. In view of the characteristics of its specific topology structure,the key technologies including the topological control, data fusion based on it and soon is studied in this thesis. It can realize to enhance reliability of data transmission,increase throughput and maximize the life period of network. At the same time, theproblem of redundant data overhead and disequilibrium of energy expenditure can beavoided.(1) The topology control strategy of ribbon network. A multi-head clusteringalgorithm based on the data gradient distribution (MCADGD) is put forward in thisthesis. In MCADGD, strategies of the node distribution and network clumping aremainly researched. First of all, it demonstrates the feasible node distribution functionwhich needs the sensor node hierarchically distribute in accordance with distancefrom sink node to cluster. Secondly, the cluster head is not single. The RWSNdynamically determines the number of cluster head at each electing cycle so as toform the set of optimized cluster head. This mechanism can not only solve theproblem of energy over-consuming of the single head, but also improve the network capacity, reduce the node communication delays and avoid the appearance of thebottleneck nodes.(2) Data fusion strategy of ribbon network. The semi-structured data fusionalgorithm based on MCADGD (SDFAM) mainly research space and timeconvergence conditions. In the aspect of space convergence, the SDFAM combinesthe respective merits of structure and non-structure methods. Firstly, the SDFAM letdatas uploading from member nodes fuse preliminarily. Then it determines whichcluster head is going to fuse according to cluster heads mutual information. In theaspect of time convergence, SDFAM determines when cluster heads are going to fuseaccording to RST/CST information, while the midst hops, paths and random delay aredynamically decided according to network parameters. SDFAM is a kind ofsemi-structure method of data fusion control, it can effectively reduce unnecessarydata transmission times of node and network redundant data so as to save energy andprolong the network life period.