Applications of spatial data structures: Computer graphics, image processing, and GIS
Applications of spatial data structures: Computer graphics, image processing, and GIS
Location-aware query processing in mobile database systems
SAC '98 Proceedings of the 1998 ACM symposium on Applied Computing
Toward optimal ε-Approximate nearest neighbor algorithms
Journal of Algorithms
Electronic Commerce
Efficient Regular Data Structures and Algorithms for Location and Proximity Problems
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Alternative Algorithm for Hilbert's Space-Filling Curve
IEEE Transactions on Computers
Convergence: a challenge for mobile telecommunication operators the case of the German T-Mobile
International Journal of Mobile Communications
Emergency preparation and mobile notification through cluster computing
International Journal of Mobile Communications
A novel location management in IP-based cellular networks
International Journal of Mobile Communications
An efficient wireless transmission method for m-commerce
International Journal of Mobile Communications
International Journal of Wireless and Mobile Computing
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The growth in value of economic activity associated with e-commerce transactions is now a firmly established trend. Mobile commerce (m-commerce) has recently emerged as a significant and growing segment of e-commerce and is increasingly the subject of application development activities and the object of escalating levels of business investment. An integral component of many m-commerce applications is a repository containing location-related information (attributes) on service-providing or goods-producing organisations. Rapid access to an organisation's locational attributes is an important determinant of the level of service realised by m-commerce users of variant location. This article compares two methods of delivering transactional data associated with an organisation's locational attributes to m-commerce users: one method takes a straightforward, enumerative approach; the second method uses a proposed "location-aware" approach that avails itself of the locational attributes of both the m-commerce user and the organisational locations of user interest. A simulation-based methodology is employed to compare the two methods and evaluate the relative performance of the proposed location-aware method. Results suggest that the location-aware method has significant potential to increase the speed with which locational data is delivered to m-commerce users.