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RSS-based sensor localization in underwater acoustic sensor networks

机译:水下声传感器网络中基于RSS的传感器定位

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摘要

Since the global positioning system (GPS) is not applicable underwater, source localization using wireless sensor networks (WSNs) is gaining popularity in oceanographic applications. Unlike terrestrial WSNs (TWSNs) which uses electromagnetic signaling, underwater WSNs (UWSNs) require underwater acoustic (UWA) signaling. Received signal strength (RSS)-based source localization is considered in this paper due to its practical simplicity and the constraint of low-cost sensor devices, but this area received little attention so far because of the complicated UWA transmission loss (TL) phenomena. In this paper, we address this issue and propose two novel semidefinite programming (SDP) approaches which can be solved more efficiently. The numerical results validate our proposed SDP solvers in underwater environments, and indicate that the placement of the anchor nodes influences the RSS-based localization accuracy similarly as in the terrestrial counterpart. We also highlight that adopting traditional terrestrial RSS-based localization methods will fail in underwater scenarios.
机译:由于全球定位系统(GPS)不适用于水下,因此使用无线传感器网络(WSN)进行源定位在海洋学应用中越来越受欢迎。与使用电磁信号的地面WSN(TWSN)不同,水下WSN(UWSN)需要水下声(UWA)信号。由于其实用的简便性和低成本传感器设备的局限性,本文考虑了基于接收信号强度(RSS)的源定位,但是由于复杂的UWA传输损耗(TL)现象,该领域至今很少受到关注。在本文中,我们解决了这个问题,并提出了两种新颖的半定规划(SDP)方法,它们可以更有效地解决。数值结果验证了我们在水下环境中提出的SDP求解器的有效性,并表明锚点的位置与地面对应物类似,也会影响基于RSS的定位精度。我们还强调指出,在水下情况下采用基于地面RSS的传统本地化方法将失败。

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