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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mtibaa, A. Harras, K.A. Abdellatif, M. |
| Copyright Year | 2015 |
| Description | Author affiliation: Carnegie Mellon Univ., Pittsburgh, PA, USA (Harras, K.A.; Abdellatif, M.) || Texas Univ., Austin, TX, USA (Mtibaa, A.) |
| Abstract | While WiFi-based indoor localization services are on the rise, existing solutions require periodic updates and therefore exhibit high power demand. In this paper, we propose a novel Social Aware Cluster Based Localization algorithm (SAC-Loc) that leverages social information between nodes in order to dynamically cluster those that exhibit similar mobility patterns. SAC-Loc deploys socially-aware algorithms that dynamically determine when to split and coalesce clusters depending on predicted network topology changes. Based on social ties between encountered nodes, it estimates cluster stability metrics in order to avoid joining crossing nodes with temporary proximity, or the unnecessary splitting of a group due to wireless scanning limitations. We analyze and evaluate our algorithms using a data driven approach based on real-world traces, in addition to an experimental implementation and deployment in our department. While state-of-the-art group localization algorithms can either be energy efficient or highly accurate, SAC-Loc provides a desirable trade-off between accuracy and energy consumption based on popular indoor localization applications. |
| Sponsorship | IEEE |
| Starting Page | 868 |
| Ending Page | 875 |
| File Size | 594717 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9781467377010 |
| DOI | 10.1109/WiMOB.2015.7348053 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-19 |
| Publisher Place | United Arab Emirates |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless communication Energy consumption Network topology Conferences Clustering algorithms Servers IEEE 802.11 Standard |
| Content Type | Text |
| Resource Type | Article |
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