NDLI: Using proximity and quantized RSS for sensor localization in wireless networks

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Using proximity and quantized RSS for sensor localization in wireless networks

Content Provider	ACM Digital Library
Author	Hero, Alfred O. Patwari, Neal
Abstract	For wireless sensor networks, received signal strength (RSS) and proximity (also known as connectivity) measurements have been proposed as simple and inexpensive means to estimate range between devices and sensor location. While RSS measurements are recognized to suffer from errors due to the random nature of the fading channel, proximity measurements, ie., knowing only whether or not two devices are in communication range, are often discussed without considering that they are affected by the same fading channel. Proximity measurements are actually just a binary quantization of RSS measurements. We use the Cramér-Rao bound (CRB) to compare the minimal attainable variances of unbiased sensor location estimators for the cases of RSS and proximity measurements. For completeness, we also present the CRB for sensor localization with systems using K-level quantized RSS (QRSS) measurements, of which proximity measurements are the special case: K=2. Examples are presented for the case of one unknown-location sensor, and for the case of a 5 by 5 grid of sensors. These examples show that lower bounds for standard deviation in proximity-based systems are, as a rule of thumb, about 50% higher than the bounds for RSS-based systems. Furthermore, results are presented which show how many bits of quantization are necessary for a QRSS-based system to nearly achieve the bounds of an unquantized RSS system.
Starting Page	20
Ending Page	29
Page Count	10
File Format	PDF
ISBN	1581137648
DOI	10.1145/941350.941354
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2003-09-19
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Received signal strength Wireless sensor networks Proximity Cramér-rao lower bound Localization
Content Type	Text
Resource Type	Article

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