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| The development of beyond fifth generation network drives the implement of Internet of Things(IoT) technology in different industries, but it also puts forward complex requirements for solutions in different scenarios. In the biological detection, the requirements about ecological protection and validity of biological data bring challenges to the energy efficiency management of IoT devices. In this paper, the spatial correlation of data collected by adjacent IoT devices and the difference in sensing data volume is considered. An energy-efficient scheme using Unmanned aerial vehicle(UAV) is proposed to compress and collect data. The data aggregation decision among IoT devices and trajectory of UAV is optimized to minimize the energy consumption of IoT devices system with the limitation of UAV battery. Markov Clustering(MCL) algorithm is introduced to solve the problem of digraph clustering and a heuristic algorithm is proposed to optimize the UAV trajectory with little energy loss of devices. Simulation results show that the proposed scheme can reduce the energy consumption of IoT devices. |
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| Keywords:Unmanned aerial vehicle, Internet of things, biological detection, spatial correlation, data collection. |
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