Title: Simultaneous aggregate sum retrieval from multiple regions in sensor networks by distributed data cubes
Authors: L.H. Lee, M.H. Wong
Addresses: Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China. ' Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China
Abstract: Several data aggregation algorithms aiming at the retrieval of data aggregates from a single set of sensors in a sensor network have been proposed. However, when data aggregates of several sets of sensors are needed, the only solution these techniques provide is to build multiple distributed data structures or gossip groups in the sensor network. Hence in a sensor network containing N sensors, we may need 2N distributed data structures or gossip groups in order to retrieve the aggregates from all possible sets of sensors. In this paper, we propose to build distributed data cubes for the fast retrieval of aggregate sums from multiple regions in a sensor network, such that only one distributed data structure is needed. The distributed data cube construction algorithms we propose are based on the inclusion-exclusion principle, and they are capable of building distributed Prefix Sum (PS) and Local Prefix Sum (LPS) data cubes in sensor networks.
Keywords: sensor networks; data aggregation; data cubes; distributed data structure; aggregate sum retrieval.
International Journal of Wireless and Mobile Computing, 2010 Vol.4 No.2, pp.88 - 104
Published online: 07 May 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article