Localization algorithm of Bluetooth sensor network
- https://doi.org/10.2991/isct-16.2016.16How to use a DOI?
- RSSI; Bluetooth; Constraint Algorithm
The indoor positioning technology is the most important research field in the location based service (LBS). RFID, ZigBee, Bluetooth and UWB are popular technologies in the indoor positioning system. However, thesingle technology cannot realize the high accuracy. Bluetooth sensor network continues to advance due to the recent dramatic progress in sensor devices. The innovativeuse of the received signal strength indicator (RSSI) also yields new applications in human position estimation, animportant function in safe and secure services, especially for the elderly, and energy efficiency in small areas orhomes. This paper introduces the Bluetooth sensor network which is set in the experiment rooms. It proposes a simple method for estimating human position, together with a new signal processingprocedure that uses RSSI. This method is simple and has the exciting benefit of compatibility with existing devicesand existing wireless sensor networks, the current RSSI function is employed more effectively by analyzing the statistical properties of the RSSI values in particular environment. Two experimentsverify the performance of the proposed method. At last, the constraint algorithm is proposed in three-dimension environment, especially keep the result at some constraining height. And the feasibility and accuracy of the proposed model is checked.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Maoxiang Ji AU - Yao Yao AU - Chunxia Zhang AU - Weiyong Jiang AU - Lei Zhang PY - 2016/12 DA - 2016/12 TI - Localization algorithm of Bluetooth sensor network BT - Proceedings of the 4th International Conference on Information Systems and Computing Technology PB - Atlantis Press SP - 92 EP - 100 SN - 2352-538X UR - https://doi.org/10.2991/isct-16.2016.16 DO - https://doi.org/10.2991/isct-16.2016.16 ID - Ji2016/12 ER -