efficient data dissemination using locale covers
Location-dependent data are central to many emerging applications, ranging from traffic information services to sensor networks. The standard pull- and push-based data dissemination models become unworkable since the data volumes and number of clients are high.We address this problem using locale covers , a subset of the original set of locations of interest, chosen to include at least one location in a suitably defined neighborhood of any client. Since location-dependent values are highly correlated with location, a query can be answered using a location close to the query point.We show that location-dependent queries may be answered satisfactorily using locale covers, with small loss of accuracy. Our approach is independent of locations and speeds of clients, and is applicable to mobile clients.
dissemination locale covers location-dependant data accuracy latency