Fan Feisheng

Weight optimized centroid localization algorithm on radioactive pollution monitoring by WSN for uranium tailings

Aiming at the problem of high cost of cable layout and poor maintenance in traditional radioactive pollution monitoring for uranium tailings, considering banded dam and little node connectivity, a weight optimized centroid localization algorithm is proposed. Under different index, by comparing the positioning accuracy and the influence of the external disturbance, new algorithm changes the index of weight and measured distance -1 to -1.5, resulting in an accuracy improvement in long distance. Simulation demonstrated that compared with centroid localization algorithm and maximum likelihood estimation, average positioning error of the new algorithm was reduced by 37.5% and 30.7%, and the maximum positioning error was reduced by 1/5 and by 2/5. With high reliability and stability, the new algorithm can meet the requirements of position in radioactive pollution monitoring for uranium tailings.

An event-driven high-precision data fusion algorithm based on double-layer clustering

In order to ensure the high accuracy of data fusion in the real-time online monitoring of environmental parameters, an event-driven, high-precision data fusion algorithm based on double-layer clustering is proposed in wireless sensor network (EDDCHA). EDDCHA algorithm based on feature extraction in depth learning model and traditional structure clustering routing, established the general event and emergency event double-layer cluster routing model, distinguished the cluster priority order, set the emergency threshold, and realized double-layer cluster Head synchronization data fusion. The simulation results show that EDDHA algorithm can obtain more accurate fusion data in real time under the condition of similar energy consumption and SAEMDA algorithm.

WSN monitoring area partition clustering routing algorithm for energy-balanced

In order to optimize the energy-balanced problem and lengthen the network lifetime for Wireless sensor network(WSN) monitoring, a routing protocol that based on monitoring area partition clustering for energy-balanced(EBPC) was proposed. We divided monitoring area into several virtual partitions, controlled the number of common nodes and clusters by data fusion rate, and forwarded cluster heads data to the next partitions with minimum path selection coefficient. Through performance analysis and simulation of EBPC reaches a conclusion that EBPC routing protocol has a superior balance of energy consumption than LEACH and EEUC, when data fusion rate is 0.5, network lifetime lengthen rate well be 1.3, and the effect of EEUC is more obvious when the data fusion rate have a lower value.