Research On Fire Scene Oriented Wireless Sensor Network Localization Technology

In recent years, various natural and man-made disasters occurred frequently; complexdisaster field put forward a higher requirement for rescue. Establish the fire monitoringsystem provides a basis for fire fighting field command scheduling and rescue, andlocalization for monitor node and fireman is the key issue to establish the fire monitoringsystem.With the rapid development of wireless sensor network (WSN) successfully applied onnumerous occasions, the fire monitoring and the localization have become possible becauseof the portable WSN node rapidly deploying in fire site. However, in the use of WSN toachieve the fireman positioning process must be combined with specific applicationcharacteristics to solve relate problems.In the light of characteristics of the complex fire scene environment and wirelesscommunication propagation characteristics, established the fire site WSN based on UWBtechnology, improved the weighted cancroids localization algorithm based on the receivedsignal strength (RSSI), and optimized the positioning results. The main research contentsare as follows:(1)According to the different environment of fire happened, considering the fire sceneinclude the indoor and outdoor environment, modeling the fire scene ultra-widebandcommunication channel model respectively, analyzed the ranging error of UWB channelloss model under various environments. In view of the problem of big ranging andlocalization error under industrial environment, beacon node mutual positioning and rangingerror correction method was proposed, research results shows that this method effectivelyensure the distance measurement accuracy.(2)In view of the problem of weighted cancroids localization algorithm is simple andeasy to realize, but have lower accuracy; in the premise of improving the ranging accuracyefficiently, improved the weighted cancroids localization algorithm based on RSSI ranging,the particle swarm algorithm and quantum-behaved particle swarm optimization positioningwere applied to optimize the positioning results, research results shows that this method has higheraccuracy, And are not easily affected by environmental factors, could improve the localization accuracyand stability.(3)Incremental positioning process was proposed to overcome the problem of highcost caused by the demanding of more beacon nodes. When there was not enough beaconnodes to localization, the nodes of which were unknown nodes turned into secondary beacon node participated in localization, decreased the beacon nodes number efficiently, andreduced the cost. Simulation results shows that at the basis of the particle swarm andquantum-behaved particle swarm optimization weighted cancroids localization algorithm，at the condition of the same localization rate, incremental method was applied during thepositioning could reduce the beacon nodes efficiently.