A New Frame Size Adjusting Method for Framed Slotted Aloha Algorithm
ICEBE '09 Proceedings of the 2009 IEEE International Conference on e-Business Engineering
An enhanced positioning scheme for chirp spread spectrum ranging
Expert Systems with Applications: An International Journal
Accurate tag estimation for dynamic framed-slotted ALOHA in RFID systems
IEEE Communications Letters
AICT '10 Proceedings of the 2010 Sixth Advanced International Conference on Telecommunications
An efficient anti-collision protocol for RFID tag identification
IEEE Communications Letters
EDIPS: an Easy to Deploy Indoor Positioning System to support loosely coupled mobile work
Personal and Ubiquitous Computing
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Location is a key context in the location-based services (LBS) which have been well studied in the domain of pervasive computing. The radio frequency (RF) based positioning plays important role in the LBS applications due to the good resolution, clear identification and low cost. However, the signal collision is a very critical issue which determines the system accuracy and throughput, especially in high-accuracy positioning such as UWB (Ultra Wide Band) and CSS (Chirp Spread Spectrum). CSS is an emerging technology which can offer highly-accurate positioning with TOA (Time-Of-Arrival) based manner similar with UWB, but is cheaper than UWB. This paper proposes a novel ALOHA-based algorithm for the signal anti-collision in CSS based positioning, which can guarantee the high throughput. Experimental results show the algorithm can maintain competitive throughput with the guaranteed accuracy in comparison with the known algorithms.