The cricket compass for context-aware mobile applications
Proceedings of the 7th annual international conference on Mobile computing and networking
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
GPS-free Positioning in Mobile Ad Hoc Networks
Cluster Computing
Distributed localization in wireless sensor networks: a quantitative comparison
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
Robust distributed network localization with noisy range measurements
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
A relative positioning system for co-located mobile devices
Proceedings of the 3rd international conference on Mobile systems, applications, and services
Using Fine-Grained Infrared Positioning to Support the Surface-Based Activities of Mobile Users
ICDCSW '05 Proceedings of the Fifth International Workshop on Smart Appliances and Wearable Computing - Volume 05
An Analysis of Error Inducing Parameters in Multihop Sensor Node Localization
IEEE Transactions on Mobile Computing
Radio interferometric geolocation
Proceedings of the 3rd international conference on Embedded networked sensor systems
The effects of ranging noise on multihop localization: an empirical study
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
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
Collaborative sensing in a retail store using synchronous distributed jam signalling
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Algorithms for Location Estimation Based on RSSI Sampling
Algorithmic Aspects of Wireless Sensor Networks
Collective communication for dense sensing environments
Journal of Ambient Intelligence and Smart Environments
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Methods for node localisation in sensor networks usually rely upon the measurement of received strength, time-of-arrival, and/or angle-of-arrival of an incoming signal. In this paper, we propose a method for achieving higher accuracy by combining redundant measurements taken by different nodes. This method is aimed at compensating for the systematic errors which are dependent on the specific nodes used, as well as their spatial configuration. Utilising a technique for data fusion on the physical layer, the time complexity of the method is constant and independent of the number of participating nodes. Thus, adding more nodes generally increases accuracy but does not require additional time to report measurement results. Our data analysis and simulation models are based on extensive experiments with real ultrasound positioning hardware. The simulations show that the ninety-fifth percentile positioning error can be improved by a factor of three for a network of fifty nodes.