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A Joint Time Synchronization and Localization Design for Mobile Underwater Sensor Networks

机译:移动水下传感器网络的时间同步联合定位设计

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Time synchronization and localization are basic services in a sensor network system. Although they often depend on each other, they are usually tackled independently. In this work, we investigate the time synchronization and localization problems in underwater sensor networks, where more challenges are introduced because of the unique characteristics of the water environment. These challenges include long propagation delay and transmission delay, low bandwidth, energy constraint, mobility, etc. We propose a joint solution for localization and time synchronization, in which the stratification effect of underwater medium is considered, so that the bias in the range estimates caused by assuming sound waves travel in straight lines in water environments is compensated. By combining time synchronization and localization, the accuracy of both are improved jointly. Additionally, an advanced tracking algorithm interactive multiple model (IMM) is adopted to improve the accuracy of localization in the mobile case. Furthermore, by combining both services, the number of required exchanged messages is significantly reduced, which saves on energy consumption. Simulation results show that both services are improved and benefit from this scheme.
机译:时间同步和本地化是传感器网络系统中的基本服务。尽管它们经常相互依赖,但它们通常是独立处理的。在这项工作中,我们研究了水下传感器网络中的时间同步和本地化问题,由于水环境的独特特性,引入了更多挑战。这些挑战包括长的传播延迟和传输延迟,低带宽,能量约束,移动性等。我们提出了一种用于定位和时间同步的联合解决方案,其中考虑了水下介质的分层效应,因此范围估计中存在偏差假设声波在水环境中沿直线传播会引起的误差得到补偿。通过将时间同步和本地化相结合,可以共同提高二者的准确性。另外,采用先进的跟踪算法交互式多重模型(IMM)来提高移动箱中的定位精度。此外,通过将两种服务组合在一起,可以显着减少所需交换消息的数量,从而节省了能源消耗。仿真结果表明,两种服务均得到改善,并从该方案中受益。

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