|Bibliography||Lange, Ralph; Farrell, Tobias; Dürr, Frank; Rothermel, Kurt: Remote Real-Time Trajectory Simplification. |
In: Proceedings of the 7th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom '09). Galveston, TX, USA. March 2009.
University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems).
pp. 1-10, english.
IEEE Computer Society, March 2009.
Article in Proceedings (Conference Paper).
|CR-Schema||H.2.8 (Database Applications)|
|Keywords||Remote trajectory simplification; tracking; dead reckoning; moving objects database; MOD; line simplification|
Moving objects databases (MODs) have been proposed for managing trajectory data, an important kind of information for pervasive applications. To save storage capacity, a MOD generally stores simplified trajectories only. A simplified trajectory approximates the actual trajectory of the mobile object according to a certain accuracy bound. In order to minimize the costs of communicating position information between mobile object and MOD, the trajectory simplification should be performed by the mobile object. To assure that the MOD always has a valid simplified trajectory of the remote object, we propose the generic remote trajectory simplification protocol (GRTS) allowing for computing and managing a simplified trajectory in such a system in real-time. We show how to combine GRTS with existing line simplification algorithms for computing the simplified trajectory and analyze trade-offs between the different algorithms. Our evaluations show that GRTS outperforms the two existing approaches by a factor of two and more in terms of reduction efficiency. Moreover, on average, the reduction efficiency of GRTS is only 12% worse compared to optimal offline simplification.
|Full text and|
|PDF (310752 Bytes)|
The original publication is available at IEEE Xplore
|Copyright||This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE (contact firstname.lastname@example.org). By choosing to view this document, you agree to all provisions of the copyright laws protecting it. |
|Department(s)||University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems|
|Project(s)||SFB-627, B5 (University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems)|
|Entry date||January 13, 2009|