| Issue |
MATEC Web Conf.
Volume 173, 2018
2018 International Conference on Smart Materials, Intelligent Manufacturing and Automation (SMIMA 2018)
|
|
|---|---|---|
| Article Number | 03007 | |
| Number of page(s) | 5 | |
| Section | Digital Signal and Image Processing | |
| DOI | https://doi.org/10.1051/matecconf/201817303007 | |
| Published online | 19 June 2018 | |
Research and Implementation of Multi-User Location Sharing Method Based on LBS
1
Department of Information Technology, Hubei University of Police, Wuhan, China ;
2
Department of Information Technology, Hubei University of Police, Wuhan, China ;
* Corresponding author: daleng0127@sina.com
In order to make up for the deficiency of the lack of the location interaction between users of most LBS based applications in the market, a multi-user location sharing method(MULS) is proposed. Starting from the applications such as ordering food in different places and collective travel, it shows that this method can provide the location interaction between users and improve the location service function of the application. Secondly, the feasibility of the method is illustrated by introducing the principle of MULS. Finally, on the IOS operating system, this method is gradually implemented from several aspects of location acquisition, sharing strategy, data exchange, and overall framework. Conclusions: The MULS method can be implemented on the basis of existing applications. This method can effectively provide the location sharing among users, so that it is possible to achieve the query and positioning of the real-time location of multiple people among team users, team collection progress, the location of non returned team members, so as to let LBS application bring greater convenience to people’s life.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.