TY - GEN
T1 - System Performance Analysis of Multi-user Single-node Indoor Positioning
AU - Zhao, Yingbo
AU - Meng, Weixiao
AU - Li, Yang
AU - Li, Cheng
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - With the construction of large shopping malls, stations, and underground parking lots, the indoor environment is becoming more and more complex, and people's demand for indoor positioning is becoming stronger and stronger. Since the WiFi node for network communication is generally laid in the indoor environment, the WiFi can be used for indoor positioning while the network is communicating. Based on WiFi-based indoor positioning system, this paper uses the improved single-node positioning algorithm for indoor positioning, and analyzes the performance of multi-user positioning system from three aspects: access user type, single-point positioning system and multi-user access protocol. Then, the effects of the positioning algorithm, the number of transmitted data packets, the communication mode of the protocol and the maximum initial contention window on the multi-user positioning delay are described. After analyzing the different influencing factors, this paper calculates the maximum number of positioning and user capacity of the multi-user positioning system under the condition of different number of Internet users.
AB - With the construction of large shopping malls, stations, and underground parking lots, the indoor environment is becoming more and more complex, and people's demand for indoor positioning is becoming stronger and stronger. Since the WiFi node for network communication is generally laid in the indoor environment, the WiFi can be used for indoor positioning while the network is communicating. Based on WiFi-based indoor positioning system, this paper uses the improved single-node positioning algorithm for indoor positioning, and analyzes the performance of multi-user positioning system from three aspects: access user type, single-point positioning system and multi-user access protocol. Then, the effects of the positioning algorithm, the number of transmitted data packets, the communication mode of the protocol and the maximum initial contention window on the multi-user positioning delay are described. After analyzing the different influencing factors, this paper calculates the maximum number of positioning and user capacity of the multi-user positioning system under the condition of different number of Internet users.
KW - CSMA/CA
KW - Indoor positioning
KW - Positioning capacity
KW - Positioning delay
UR - https://www.scopus.com/pages/publications/85082242048
U2 - 10.1109/ComComAp46287.2019.9018743
DO - 10.1109/ComComAp46287.2019.9018743
M3 - 会议稿件
AN - SCOPUS:85082242048
T3 - 2019 Computing, Communications and IoT Applications, ComComAp 2019
SP - 123
EP - 128
BT - 2019 Computing, Communications and IoT Applications, ComComAp 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Computing, Communications and IoT Applications, ComComAp 2019
Y2 - 26 October 2019 through 28 October 2019
ER -