Please use this identifier to cite or link to this item:
|Title:||EnAcq: Energy-efficient GPS trajectory data acquisition based on improved map matching||Authors:||Fang, S.
|Issue Date:||2011||Citation:||Fang, S.,Zimmermann, R. (2011). EnAcq: Energy-efficient GPS trajectory data acquisition based on improved map matching. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems : 221-230. ScholarBank@NUS Repository. https://doi.org/10.1145/2093973.2094004||Abstract:||Todays versatile mobile devices such as smartphones are increasingly popular platforms for trajectory-based applications such as vehicle tracking, route navigation and geotagged video acquisition. On these battery-powered devices employing a trajectory data acquisition approach that reduces the amount of energy spent but still provides accurate location information is essential for these applications' usability. This paper presents EnAcq, a novel energy-efficient GPS trajectory data acquisition scheme based on improved map matching that addresses two key challenges: providing highly accurate trajectory data and reducing energy consumption. To improve the precision of trajectory data, EnAcq utilizes an improved Hidden Markov Model (HMM)-based map matching algorithm which can find candidate matches for each GPS location sample point without using the traditionally necessary range query and determine the most likely route the mobile device (e.g., in a vehicle) has travelled. To avoid unnecessary energy consumption, EnAcq adopts an adaptive GPS sampling method which adjusts the sampling period based on the device's current motion state. On a public real-world dataset, we demonstrate via experimental results that EnAcq is able to yield accurate trajectory data while avoiding unnecessary energy consumption. © 2011 ACM.||Source Title:||GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems||URI:||http://scholarbank.nus.edu.sg/handle/10635/41220||ISBN:||9781450310314||DOI:||10.1145/2093973.2094004|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Apr 21, 2019
checked on Apr 19, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.