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Shortest path discovery in consideration of obstacle in mobile social network environments
conference contribution
posted on 2018-01-01, 00:00 authored by D Sun, W Qu, Shang GaoShang Gao, L Liu© 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. The issue of shortest path discovery in consideration of obstacle is one of the problems for location-based services in mobile social network environments. Currently, most research focuses on quickly discovering the shortest path in obstacle free area with reasonable latency, while the obstacle issue, especially the obstacles that enter temporarily is not fully considered. This creates the need for investigation on shortest path discovery at the same time avoiding detected obstacles. In this paper, a shortest path discovery approach is proposed. The following contributions are made: (1) Modeling the shortest path discovery problem in consideration of obstacle. (2) Discovering the shortest path using an improved A-star algorithm with reasonable latency. (3) Evaluating the accuracy rate of shortest path discovery with acceptable latency for a location-based service in a mobile social network. Experimental results conclusively demonstrate the efficiency and effectiveness of the proposed approach.
History
Volume
252Pagination
637-646Location
Edinburgh, ScotlandPublisher DOI
Start date
2017-12-11End date
2017-12-13ISSN
1867-8211ISBN-13
9783030009151Language
engPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
Romdhani I, Shu L, Takahiro H, Zhou Z, Gordon T, Zeng DTitle of proceedings
Collaboratecom 2017 : Proceedings of the International Conference on Collaborative Computing: Networking, Applications and WorksharingEvent
Collaborative Computing: Networking, Applications and Worksharing. Conference (2017 : Edinburgh, Scotland)Publisher
SpringerPlace of publication
Berlin, GermanySeries
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications EngineeringUsage metrics
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