A regularization framework for fingerprint-based reconstruction of mobile trajectories. Issue 3 (3rd May 2016)

• Record Type: Journal Article
• Authors: Tran, Duc A.; Zhang, Ting; Gong, Siyuan
• Is Part Of: International journal of parallel, emergent and distributed systems. Volume 31:Issue 3(2016)
• Page Start: 268
• Page End: 279
• Publication Date: 2016-05-03
• Subjects: Location fingerprint -- localization -- tracking -- mobile computing; Parallel computers -- Periodicals; Electronic data processing -- Distributed processing -- Periodicals; Computer algorithms -- Periodicals; 004.35
• DOI: 10.1080/17445760.2015.1085036
• Languages: English
• ISSNs: 1744-5760

Abstract

Abstract : In many systems, due to the lack of an adequate positioning capability or the need for energy saving, it is infeasible to track the location of a mobile device as it is moving. Its trajectory, however, may be reconstructed from the real-time fingerprint data that are obtained by the sensors built in the device. For this purpose, we investigate a regularization framework aimed to maximize the localization accuracy by taking into account the spatiotemporal properties regarding the fingerprint space in relation to the location space. The viability of this framework is demonstrated in an evaluation using real-world datasets, which shows its potential to outperform conventional approaches to location fingerprinting.