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Route Planning for Mobile IoT Devices

机译:移动物联网设备的路线规划

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摘要

For mobile IoT devices like mobile collectors gathering data from fixed IoT sensors optimal route planning between two geographical points is essential not only with respect to the length, the traceability, the duration or the economy of the route but especially for bandwidth-demanding applications, the spectrum availability along route. Our scope is the improvement of spectrum exploitation by optimal route selection for moving cognitive IoT devices utilizing TV white space. We investigate the applicability of our proposed new route planning aspects of mobile IoT devices applying cognitive radio technology in TV white space environment. The primary users are in this scenario fixed receivers in the TV UHF band, while the moving secondary users are trying to use the same spectrum in the TV white space without disturbing the primary service and achieve as high data rate as possible. To fulfil the latter condition, an adaptive modulation mode selection algorithm will be also shown. Two different propagation areas, rural and urban have been selected for simulations and calculations.
机译:对于移动的IoT设备,如移动收集器两个地理点之间的收集来自固定的IoT传感器最优路线规划数据是必要的,不仅相对于所述长度,所述可跟踪性,持续时间或经济的路由,但特别是对于带宽要求的应用,所述沿着路线频谱可用性。我们的范围频谱剥削通过最优路径选择移动利用电视空白空间认知物联网设备的改进。我们调查的应用认知无线电技术在电视白色空间环境的移动物联网设备我们提出了新的路径规划方面的适用性。主要用户是在电视UHF频段这种情况下固定接收机,而移动次要用户正在尝试使用在TV白色空间中的相同的频谱,而不干扰主服务,实现高速率数据传输成为可能。为了满足后一条件,自适应调制模式选择算法也将被示出。两种不同的传播领域,农村和城市已被选定为模拟和计算。

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