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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Sensor Nodes Deployment Strategy for Monitoring Roadside Biomass Carbon Stocks of Tourism Destination: A Case of Wulong World Natural Heritage, China
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Sensor Nodes Deployment Strategy for Monitoring Roadside Biomass Carbon Stocks of Tourism Destination: A Case of Wulong World Natural Heritage, China

机译:监测旅游目的地路边生物量碳储量的传感器节点部署策略:以中国乌龙世界自然遗产为例

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Since the late 1978s, China has experienced one of the highest tourism growth rates in the world, which in turn has driven extensive land-use and land-cover change. The aim of this research is to develop a sensor nodes positioning strategy for detecting land use related dynamics of vegetation carbon stocks of Wulong world natural heritage. Based on the assessment of road networks’ influences on biomass carbon stocks, roadside biomass carbon stocks risk index was proposed as a sensor deployment strategy to identify the optimal positions of the sensors to detect the changes in vegetation carbon stocks. Forest and cropland around the lower levels of roads should be the most important region of sensor nodes deployment strategy. The results generated from this study have the ability to achieve optimal solution of spatial positioning problem with minimum number of sensors in biomass carbon monitoring sensor networks. This analysis appears to have great potential for a wide range of practical applications in tourism industry in China.
机译:自1978年代后期以来,中国经历了世界上最高的旅游业增长率,这反过来又推动了广泛的土地利用和土地覆盖变化。这项研究的目的是开发一种传感器节点定位策略,以检测武隆世界自然遗产中与土地利用相关的植被碳储量的动态。在评估道路网络对生物量碳库的影响的基础上,提出了路边生物量碳库风险指数作为传感器部署策略,以识别传感器的最佳位置以检测植被碳库的变化。较低层道路周围的森林和农田应该是传感器节点部署策略的最重要区域。这项研究产生的结果具有以最少的生物质碳监测传感器网络中的传感器数量实现空间定位问题的最佳解决方案的能力。这种分析在中国旅游业中具有广泛的实际应用潜力。

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