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Open AccessArticle

Spatial Air Index Based on Largest Empty Rectangles for Non-Flat Wireless Broadcast in Pervasive Computing

1
Department of Information Communication, Asia University, Taichung 413, Taiwan
2
Department of Medical Research, China Medical University Hospital, China Medical University, Taichung 404, Taiwan
3
Department of Information Management, National Taichung University of Science and Technology, Taichung 404, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editors: Jason C. Hung, Yu-Wei Chan, Neil Y. Yen, Qingguo Zhou and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2016, 5(11), 211; https://doi.org/10.3390/ijgi5110211
Received: 31 August 2016 / Revised: 31 October 2016 / Accepted: 9 November 2016 / Published: 11 November 2016
(This article belongs to the Special Issue Advanced Geo-Information Technologies for Anticipatory Computing)
In pervasive computing, location-based services (LBSs) are valuable for mobile clients based on their current locations. LBSs use spatial window queries to enable useful applications for mobile clients. Based on skewed access patterns of mobile clients, non-flat wireless broadcast has been shown to efficiently disseminate spatial objects to mobile clients. In this paper, we consider a scenario in which spatial objects are broadcast to mobile clients over a wireless channel in a non-flat broadcast manner to process window queries. For such a scenario, we propose an efficient spatial air index method to handle window query access in non-flat wireless broadcast environments. The concept of largest empty rectangles is used to avoid unnecessary examination of the broadcast content, thus reducing the processing time for window queries. Simulation results show that the proposed spatial air index method outperforms the existing methods under various settings. View Full-Text
Keywords: location-based services; non-flat wireless broadcast; spatial air index; window queries location-based services; non-flat wireless broadcast; spatial air index; window queries
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MDPI and ACS Style

Shen, J.-H.; Lu, C.-T.; Chen, M.-Y.; Mai, C.-T. Spatial Air Index Based on Largest Empty Rectangles for Non-Flat Wireless Broadcast in Pervasive Computing. ISPRS Int. J. Geo-Inf. 2016, 5, 211.

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