Experiences & challenges with server-side WiFi indoor localization using existing infrastructure
Real-world deployments of WiFi-based indoor localization in large public venues are few and far between as most state-of-the-art solutions require either client or infrastructure-side changes. Hence, even though high location accuracy is possible with these solutions, they are not practical due to c...
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sg-smu-ink.sis_research-52522023-08-24T08:25:54Z Experiences & challenges with server-side WiFi indoor localization using existing infrastructure JAISINGHANI, Dheryta BALAN, Rajesh Krishna NAIK, Vinayak MISRA, Archan LEE, Youngki Real-world deployments of WiFi-based indoor localization in large public venues are few and far between as most state-of-the-art solutions require either client or infrastructure-side changes. Hence, even though high location accuracy is possible with these solutions, they are not practical due to cost and/or client adoption reasons. Majority of the public venues use commercial controller-managed WLAN solutions, that neither allow client changes nor infrastructure changes. In fact, for such venues we have observed highly heterogeneous devices with very low adoption rates for client-side apps. In this paper, we present our experiences in deploying a scalable location system for such venues. We show that server-side localization is not trivial and present two unique challenges associated with this approach, namely Cardinality Mismatch and High Client Scan Latency. The “Mismatch” challenge results in a significant mismatch between the set of access points (APs) reporting a client in the offline and online phases, while the “Latency” challenge results in a low number of APs reporting data for any particular client. We collect three weeks of detailed ground truth data (≈ 200 landmarks), from a WiFi setup that has been deployed for more than four years, to provide evidences for the extent and understanding the impact of these problems. We propose heuristics to alleviate them. We also summarize the challenges and pitfa 2018-07-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4249 info:doi/10.1145/3286978.3286989 https://ink.library.smu.edu.sg/context/sis_research/article/5252/viewcontent/mobiquitous18_localisation__1_.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University WiFi Localization Server-side Device-agnostic Large-scale Measurements OS and Networks Software Engineering |
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WiFi Localization Server-side Device-agnostic Large-scale Measurements OS and Networks Software Engineering JAISINGHANI, Dheryta BALAN, Rajesh Krishna NAIK, Vinayak MISRA, Archan LEE, Youngki Experiences & challenges with server-side WiFi indoor localization using existing infrastructure |
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Real-world deployments of WiFi-based indoor localization in large public venues are few and far between as most state-of-the-art solutions require either client or infrastructure-side changes. Hence, even though high location accuracy is possible with these solutions, they are not practical due to cost and/or client adoption reasons. Majority of the public venues use commercial controller-managed WLAN solutions, that neither allow client changes nor infrastructure changes. In fact, for such venues we have observed highly heterogeneous devices with very low adoption rates for client-side apps. In this paper, we present our experiences in deploying a scalable location system for such venues. We show that server-side localization is not trivial and present two unique challenges associated with this approach, namely Cardinality Mismatch and High Client Scan Latency. The “Mismatch” challenge results in a significant mismatch between the set of access points (APs) reporting a client in the offline and online phases, while the “Latency” challenge results in a low number of APs reporting data for any particular client. We collect three weeks of detailed ground truth data (≈ 200 landmarks), from a WiFi setup that has been deployed for more than four years, to provide evidences for the extent and understanding the impact of these problems. We propose heuristics to alleviate them. We also summarize the challenges and pitfa |
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text |
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JAISINGHANI, Dheryta BALAN, Rajesh Krishna NAIK, Vinayak MISRA, Archan LEE, Youngki |
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JAISINGHANI, Dheryta BALAN, Rajesh Krishna NAIK, Vinayak MISRA, Archan LEE, Youngki |
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JAISINGHANI, Dheryta |
title |
Experiences & challenges with server-side WiFi indoor localization using existing infrastructure |
title_short |
Experiences & challenges with server-side WiFi indoor localization using existing infrastructure |
title_full |
Experiences & challenges with server-side WiFi indoor localization using existing infrastructure |
title_fullStr |
Experiences & challenges with server-side WiFi indoor localization using existing infrastructure |
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Experiences & challenges with server-side WiFi indoor localization using existing infrastructure |
title_sort |
experiences & challenges with server-side wifi indoor localization using existing infrastructure |
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Institutional Knowledge at Singapore Management University |
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2018 |
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https://ink.library.smu.edu.sg/sis_research/4249 https://ink.library.smu.edu.sg/context/sis_research/article/5252/viewcontent/mobiquitous18_localisation__1_.pdf |
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