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基于遥感网络的洪涝灾害受灾点需求信息实时传送技术

Real-time Transmission Technology of Flood Disaster Location Demand Information based on Remote Sensing Network

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【作者】 马书林

【Author】 MA Shulin;Changchun Information Technology College;

【机构】 长春信息技术职业学院

【摘要】 为了提高洪涝灾害受灾点需求信息传送的时效性,针对当前受灾点信息传送技术中存在的信息传送成功率较低、信息传送时延较长、信息传送能耗较高等问题,提出基于遥感网络的洪涝灾害受灾点需求信息实时传送技术。计算所构建遥感网络节点簇区域内簇头与簇内其余节点的能量感知阈值,根据所得阈值及更新约束条件,完成对应簇头节点与区域更新,根据遥感网络带宽与下一跳簇头节点的能耗进行信息分割,采用并行传输方式传送分割得到的分组信息;结合多尺度协同变异机制,利用粒子群优化算法进行信息传送路径的寻优求解,以所得最优路径实现受灾点需求信息实时传送。

【Abstract】 In order to improve the timeliness of the information transmission of flood disasters,the information transmission technology has low success rate,long information transmission delay and high information transmission energy consumption. Real-time transmission technology for demand information of flood disasters. Calculate the energy perception threshold of the cluster head and the remaining nodes in the cluster in the cluster node of the constructed remote sensing network,and complete the corresponding cluster head node and region update according to the obtained threshold and update constraint conditions,according to the bandwidth of the remote sensing network and the cluster node of the next hop The energy consumption is divided into information,and the segmented group information is transmitted by parallel transmission. Combined with the multi-scale cooperative mutation mechanism,the particle swarm optimization algorithm is used to optimize the information transmission path,and the optimal path is used to realize the real-time transmission of the disaster point demand information. The experimental results show that the proposed information transmission technology has higher information transmission success rate and shorter transmission delay than the current disaster point information transmission technology,and the transmission success rate and delay are less affected by the information transmission rate change. The information transmission energy consumption is significantly lower than the two information transmission technologies of the experimental comparison.

【基金】 吉林省教育科学研究领导小组办公室“数字化教学资源库的“翻转课堂”的研究”(ZD17190)
  • 【文献出处】 灾害学 ,Journal of Catastrophology , 编辑部邮箱 ,2019年03期
  • 【分类号】P407;P426.616
  • 【下载频次】159
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