Abstract
WiFi-based localization is a promising candidate of indoor localization. In this paper, we present a distributed localization system using a WiFi ad-hoc wireless positioning network (AWPN) to realize on-demand location-based services. The AWPN is a WiFi mesh network with the capability of localizing WiFi devices. Using the AWPN, we can easily build a localization infrastructure by putting WiFi APs. To realize on-demand location-based services, we tackle two challenges: reduction in the installation cost of the user application and reduction in network traffic. We design a localization system using the AWPN and realize an on-demand location-based service as a Web service, which enables us to use via Web browsers. Our localization system is built on WiFi APs and distributes network traffic over the network. The experimental evaluations show that our localization system can localize a user device within 220 milliseconds. We also performed simulations and reveal that our localization system reduces network traffic by up to 24% than that in the centralized localization system.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2014 IEEE International Conference on Ubiquitous Intelligence and Computing, 2014 IEEE International Conference on Autonomic and Trusted Computing, 2014 IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014 |
| Editors | Yu Zheng, Parimala Thulasiraman, Bernady O. Apduhan, Yukikazu Nakamoto, Huansheng Ning, Yuqing Sun |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 34-41 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781479976461 |
| DOIs | |
| Publication status | Published - Jan 1 2014 |
| Event | 11th IEEE International Conference on Ubiquitous Intelligence and Computing and 11th IEEE International Conference on Autonomic and Trusted Computing and 14th IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014 - Denpasar, Bali, Indonesia Duration: Dec 9 2014 → Dec 12 2014 |
Publication series
| Name | Proceedings - 2014 IEEE International Conference on Ubiquitous Intelligence and Computing, 2014 IEEE International Conference on Autonomic and Trusted Computing, 2014 IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014 |
|---|
Other
| Other | 11th IEEE International Conference on Ubiquitous Intelligence and Computing and 11th IEEE International Conference on Autonomic and Trusted Computing and 14th IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014 |
|---|---|
| Country | Indonesia |
| City | Denpasar, Bali |
| Period | 12/9/14 → 12/12/14 |
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Science Applications
Cite this
Implementation of On-Demand Indoor Location-Based Service Using Ad-Hoc Wireless Positioning Network. / Ishida, Shigemi; Tomishige, Koki; Izumi, Akira; Tagashira, Shigeaki; Arakawa, Yutaka; Fukuda, Akira.
Proceedings - 2014 IEEE International Conference on Ubiquitous Intelligence and Computing, 2014 IEEE International Conference on Autonomic and Trusted Computing, 2014 IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014. ed. / Yu Zheng; Parimala Thulasiraman; Bernady O. Apduhan; Yukikazu Nakamoto; Huansheng Ning; Yuqing Sun. Institute of Electrical and Electronics Engineers Inc., 2014. p. 34-41 7306931 (Proceedings - 2014 IEEE International Conference on Ubiquitous Intelligence and Computing, 2014 IEEE International Conference on Autonomic and Trusted Computing, 2014 IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Implementation of On-Demand Indoor Location-Based Service Using Ad-Hoc Wireless Positioning Network
AU - Ishida, Shigemi
AU - Tomishige, Koki
AU - Izumi, Akira
AU - Tagashira, Shigeaki
AU - Arakawa, Yutaka
AU - Fukuda, Akira
PY - 2014/1/1
Y1 - 2014/1/1
N2 - WiFi-based localization is a promising candidate of indoor localization. In this paper, we present a distributed localization system using a WiFi ad-hoc wireless positioning network (AWPN) to realize on-demand location-based services. The AWPN is a WiFi mesh network with the capability of localizing WiFi devices. Using the AWPN, we can easily build a localization infrastructure by putting WiFi APs. To realize on-demand location-based services, we tackle two challenges: reduction in the installation cost of the user application and reduction in network traffic. We design a localization system using the AWPN and realize an on-demand location-based service as a Web service, which enables us to use via Web browsers. Our localization system is built on WiFi APs and distributes network traffic over the network. The experimental evaluations show that our localization system can localize a user device within 220 milliseconds. We also performed simulations and reveal that our localization system reduces network traffic by up to 24% than that in the centralized localization system.
AB - WiFi-based localization is a promising candidate of indoor localization. In this paper, we present a distributed localization system using a WiFi ad-hoc wireless positioning network (AWPN) to realize on-demand location-based services. The AWPN is a WiFi mesh network with the capability of localizing WiFi devices. Using the AWPN, we can easily build a localization infrastructure by putting WiFi APs. To realize on-demand location-based services, we tackle two challenges: reduction in the installation cost of the user application and reduction in network traffic. We design a localization system using the AWPN and realize an on-demand location-based service as a Web service, which enables us to use via Web browsers. Our localization system is built on WiFi APs and distributes network traffic over the network. The experimental evaluations show that our localization system can localize a user device within 220 milliseconds. We also performed simulations and reveal that our localization system reduces network traffic by up to 24% than that in the centralized localization system.
UR - http://www.scopus.com/inward/record.url?scp=84949546835&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949546835&partnerID=8YFLogxK
U2 - 10.1109/UIC-ATC-ScalCom.2014.96
DO - 10.1109/UIC-ATC-ScalCom.2014.96
M3 - Conference contribution
AN - SCOPUS:84949546835
T3 - Proceedings - 2014 IEEE International Conference on Ubiquitous Intelligence and Computing, 2014 IEEE International Conference on Autonomic and Trusted Computing, 2014 IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014
SP - 34
EP - 41
BT - Proceedings - 2014 IEEE International Conference on Ubiquitous Intelligence and Computing, 2014 IEEE International Conference on Autonomic and Trusted Computing, 2014 IEEE International Conference on Scalable Computing and Communications and Associated Symposia/Workshops, UIC-ATC-ScalCom 2014
A2 - Zheng, Yu
A2 - Thulasiraman, Parimala
A2 - Apduhan, Bernady O.
A2 - Nakamoto, Yukikazu
A2 - Ning, Huansheng
A2 - Sun, Yuqing
PB - Institute of Electrical and Electronics Engineers Inc.
ER -