Range-free algorithm for energy-efficient indoor localization in Wireless Sensor Networks

Ville Kaseva, T. Hämäläinen, Marko Hännikäinen
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引用次数: 14

Abstract

Wireless Sensor Networks (WSNs) form an attractive technology for ubiquitous indoor localization. The localized node lifetime is maximized by using energy-efficient radios and minimizing their active time. However, the most low-cost and low-power radios do not include Received Signal Strength Indicator (RSSI) functionality commonly used for RF-based localization. In this paper, we present a range-free localization algorithm for localized nodes with minimized radio communication and radios without RSSI. The low complexity of the algorithm enables implementation in resource-constrained hardware for in-network localization. We experimented the algorithm using a real WSN implementation. In room-level localization, the area was resolved correctly 96% of the time. The maximum point-based error was 8.70 m. The corresponding values for sub-room-level localization are 100% and 4.20 m. The prototype implementation consumed 1900 B of program memory. The data memory consumption varied from 18 B to 180 B, and the power consumption from 345 μW to 2.48 mW depending on the amount of localization data.
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无线传感器网络中节能室内定位的无距离算法
无线传感器网络(WSNs)形成了一种有吸引力的无处不在的室内定位技术。通过使用节能无线电并最小化其活动时间,使局部节点寿命最大化。然而,大多数低成本和低功耗无线电不包括通常用于基于射频定位的接收信号强度指示器(RSSI)功能。在本文中,我们提出了一种无距离定位算法,用于最小化无线电通信和无RSSI无线电的定位节点。该算法的低复杂度使其能够在资源受限的硬件上实现网络内定位。我们使用一个真实的WSN实现来实验该算法。在房间级别的定位中,96%的时间区域被正确解析。基于点的最大误差为8.70 m。子室级定位对应值为100%和4.20 m。原型实现消耗了1900b的程序内存。根据定位数据量的不同,数据存储消耗在18b ~ 180b之间,功耗在345 μW ~ 2.48 mW之间。
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