Abstract:Transferring emergent target tracking data to sinks is a major challenge in the Industrial Internet of Things (IIoT), because inefficient data transmission can cause significant personnel and property loss. For tracking a constantly moving mobile target, sensing data should be delivered to sinks continuously and quickly. Although there is some related research, the end to end tracking delay is still unsatisfying. In this paper, we propose a Fast and Efficient Data Forwarding (FEDF) scheme for tracking mobile targets in sensor networks to reduce tracking delay and maintain a long lifetime. Innovations of the FEDF scheme that differ from traditional scheme are as follows: firstly, we propose a scheme to transmit sensing data through a Quickly Reacted Routing (QRR) path which can reduce delay efficiently. Duty cycles of most nodes on a QRR path are set to 1, so that sleep delay of most nodes turn 0. In this way, end to end delay can be reduced significantly. Secondly, we propose a perfect method to build QRR path and optimize it, which can make QRR path work more efficiently. Target sensing data routing scheme in this paper belongs to a kind of trail-based routing scheme, so as the target moves, the routing path becomes increasingly long, reducing the working efficiency. We propose a QRR path optimization algorithm, in which the ratio of the routing path length to the optimal path is maintained at a smaller constant in the worst case. Thirdly, it has a long lifetime. In FEDF scheme duty cycles of nodes near sink in a QRR path are the same as that in traditional scheme, but duty cycles of nodes in an energy-rich area are 1. Therefore, not only is the rest energy of network fully made use of, but also the network lifetime stays relatively long. Finally, comprehensive performance analysis shows that the FEDF scheme can realize an optimal end to end delay and energy utilization at the same time, reduce end to end delay by 87.4%, improve network energy utilization by 2.65%, and ensure that network lifetime is not less than previous research.

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Abstract. Airborne electromechanical systems have the characteristics of high complexity, reliability and costs, therefore a lot of simulation is needed. In order to make software developers simulate a variety of devices and conduct semi-physical simulation or digital simulation under the same framework. In this paper, the virtual simulation technology is used to achieve the configurable simulation of airborne electromechanical devices, and simulation devices are used to build a simulation platform. In QEMU virtual machine the simulation of equipment front-end interface is realized in order to use real device driver, a thread is used to simulate the device function, finally, the data is transferred to data transmission module to simulate multiple data exchange methods of equipment. In the device function simulation module dynamic loading technology is used. Using C and Lua hybrid programming method to realize the equipment function of flexible and configurable. The experimental results show that only need to modify the configuration script the different simulation of airborne electromechanical equipment can be achieved.