Skip to main content
Article
Data Structure for Efficient Line of Sight Queries
CIKM '18 Proceedings of the 27th ACM International Conference on Information and Knowledge Management (2018)
  • Swapnil Gaikwad, San Jose State University
  • Melody Moh, San Jose State University
  • David C. Anastasiu, San Jose State University
Abstract
Given the great amounts of data being transmitted between devices in the 21st century, existing channels of wireless communication are getting congested. In the wireless space, the focus up to now has been on the microwave frequency range. An alternative for highspeed medium- and long-range communication is the millimeter wave spectrum, which is most effectively used through point-topoint links. In this paper, we develop and compare methods for verifying the Line of Sight (LOS) constraint between two points in a city. To be useful for online wireless network planning systems, the methods must be able to process terabytes of 3D city geolocation data and provide answers in milliseconds. We evaluate our methods using data for the city of San José, a major metropolitan area in Silicon Valley, California. Our results indicate that our Hierarchical Polygon Aggregation (HPA) method is able to achieve millisecondlevel query times with very little loss of precision.
Keywords
  • Wireless Emergency Network,
  • Millimeter Waves,
  • Line of Sight,
  • Data Structures,
  • Information Retrieval
Publication Date
October, 2018
DOI
10.1145/3269206.3269238
Citation Information
Swapnil Gaikwad, Melody Moh and David C. Anastasiu. "Data Structure for Efficient Line of Sight Queries" CIKM '18 Proceedings of the 27th ACM International Conference on Information and Knowledge Management (2018) p. 1535 - 1538
Available at: http://works.bepress.com/david-anastasiu/42/