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A Historical-Beacon-Aided Localization Algorithm for Mobile Sensor Networks

机译:一种用于移动传感器网络的历史信标辅助定位算法

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Range-free localization approaches are cost-effective for mobile sensor networks (because no additional hardware support is required). However, existing range-free localization approaches for mobile sensor networks suffer from either sparse anchor node problem or high communication cost. Due to economic considerations, mobile sensor networks typically have sparse anchor nodes which makes most range-free localization algorithms inaccurate. On the other hand, due to the power limitation of mobile sensor nodes (i.e., they are battery-operated) and high power consumption by communication, high communication cost will significantly reduce the network life time. For solving these two problems, in this paper, we use historical beacons (i.e., anchor nodes’ announcements delivered in previous time slots) and received signal strength (RSS) to derive three constraints. By the aid of the three constraints, we introduce a low-communication-cost range-free localization algorithm (only one-hop beacon broadcasting is required). According to the theoretical analysis and simulation results, our three constraints can indeed improve the accuracy. Simulation results also show that our algorithm outperforms even in irregular-radio-signal environments. In addition, a hardware implementation running on sensor nodes, Octopus Xs, confirms theoretical analysis and simulation results.
机译:无范围定位方法对于移动传感器网络具有成本效益(因为不需要额外的硬件支持)。然而,现有的用于移动传感器网络的无范围定位方法遭受稀疏的锚节点问题或高通信成本的困扰。出于经济考虑,移动传感器网络通常具有稀疏的锚节点,这使大多数无范围定位算法不准确。另一方面,由于移动传感器节点的功率限制(即,它们由电池供电)和通信的高功耗,高通信成本将显着缩短网络寿命。为了解决这两个问题,在本文中,我们使用历史信标(即,先前时隙中传递的锚节点的公告)和接收信号强度(RSS)来得出三个约束。在这三个约束的帮助下,我们引入了一种通信成本低,无范围的定位算法(只需要一站式信标广播)。根据理论分析和仿真结果,我们的三个约束条件确实可以提高精度。仿真结果还表明,即使在不规则的无线电信号环境中,我们的算法也能胜过。此外,在传感器节点Octopus Xs上运行的硬件实现证实了理论分析和仿真结果。

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