On the mechanisms and effects of calibrating RSSI measurements for 802.15.4 radios

Authors:
Yin Chen;Andreas Terzis
Affiliations:
Computer Science Department, Johns Hopkins University;Computer Science Department, Johns Hopkins University
Venue:
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
Year:
2010

Citing 14
Cited 8

Wireless Communications: Principles and Practice

Wireless Communications: Principles and Practice
Range-free localization schemes for large scale sensor networks

Proceedings of the 9th annual international conference on Mobile computing and networking
Understanding packet delivery performance in dense wireless sensor networks

Proceedings of the 1st international conference on Embedded networked sensor systems
Taming the underlying challenges of reliable multihop routing in sensor networks

Proceedings of the 1st international conference on Embedded networked sensor systems
TOSSIM: accurate and scalable simulation of entire TinyOS applications

Proceedings of the 1st international conference on Embedded networked sensor systems
Ecolocation: a sequence based technique for RF localization in wireless sensor networks

IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Telos: enabling ultra-low power wireless research

IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
ATPC: adaptive transmission power control for wireless sensor networks

Proceedings of the 4th international conference on Embedded networked sensor systems
Experimental study of concurrent transmission in wireless sensor networks

Proceedings of the 4th international conference on Embedded networked sensor systems
An analysis of unreliability and asymmetry in low-power wireless links

ACM Transactions on Sensor Networks (TOSN)
MoteTrack: a robust, decentralized approach to RF-based location tracking

Personal and Ubiquitous Computing
Minimising the effect of WiFi interference in 802.15.4 wireless sensor networks

International Journal of Sensor Networks
Experimental comparison of RSSI-based localization algorithms for indoor wireless sensor networks

Proceedings of the workshop on Real-world wireless sensor networks
A measurement study of interference modeling and scheduling in low-power wireless networks

Proceedings of the 6th ACM conference on Embedded network sensor systems

A mote-in-the-loop approach for exploring communication strategies for sensor networks

REALWSN'10 Proceedings of the 4th international conference on Real-world wireless sensor networks
Prediction accuracy of link-quality estimators

EWSN'11 Proceedings of the 8th European conference on Wireless sensor networks
On the implications of the log-normal path loss model: an efficient method to deploy and move sensor motes

Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Optimal trajectory determination of a single moving beacon for efficient localization in a mobile ad-hoc network

Ad Hoc Networks
Low power counting via collaborative wireless communications

Proceedings of the 12th international conference on Information processing in sensor networks
WSN-aided people localization: a ray tracing network planning and performance analysis tool

Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
Improving wireless link simulation using multilevel markov models

ACM Transactions on Sensor Networks (TOSN)
A prediction algorithm for coexistence problem in multiple WBANs environment

Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication

Quantified Score

Hi-index	0.00

Visualization

Abstract

Wireless sensor network protocols and applications, including those used for localization, topology control, link scheduling, and link quality estimation, make extensive use of Received Signal Strength Indication (RSSI) measurements. In this paper we show that inaccuracies in the RSSI values reported by widely used 802.15.4 radios, such as the CC2420 and the AT86RF230, have profound impact on these protocols and applications. Furthermore, we experimentally derive the response curves which translate actual RSSI values to the raw RSSI readings that the radios report and show that they contain non-linear and even non-injective regions. Fortunately, these curves are consistent across radios of the same model, making RSSI calibration practical. We present a calibration mechanism that removes the artifacts in the raw RSSI measurements, including ambiguities created by the non-injective regions in the response curves, and generates calibrated RSSI readings that are linear. This calibration removes many of the outliers generated when raw RSSI readings are used to estimate Signal to Noise (and Interference) ratios, estimate radio model parameters, and perform RF-based localization.