Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Wireless sensor network localization techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
A Survey on Wireless Position Estimation
Wireless Personal Communications: An International Journal
Numerical Recipes 3rd Edition: The Art of Scientific Computing
Numerical Recipes 3rd Edition: The Art of Scientific Computing
On ML estimation for automatic RSS-based indoor localization
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Challenge: towards distributed RFID sensing with software-defined radio
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Survey of Wireless Indoor Positioning Techniques and Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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This paper presents an open source software-defined radio SDR tool compliant with IEEE 802.15.4, which incorporates features for the collection and processing of received signal strength RSS measurements from incoming packets. The implementation includes RSS indicator RSSI feature, data handling and application code for channel estimation, ranging and localisation. The tool can be used for experimenting with RSSI measurements from over-the-air IEEE 802.15.4 packets. Moreover, it enables experimental research on RSS-related aspects that is not possible with commercial devices, even development boards, which are closed platforms. To illustrate the tool usage, we show experimental results based on packets sniffed from commercial ZigBee nodes. Moreover, we present a complete application to the problem of localisation in wireless sensor networks WSNs, with experimental comparison of different algorithms. Finally, we highlight some issues in the RSSI calculation, showing how different aspects of the RSS computation can be investigated at the finest granularity, hence allowing researchers and practitioners to experiment down to the PHY layer.