DISTRIBUTED PROCESSING OF PROBABILISTIC TOP-KQUERIES IN WIRELESS SENSOR NETWORKS
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Abstract
A wireless sensor network (WSN) consists of spatially distributed autonomous sensors to monitor
physical or environmental conditions, such as temperature, sound, pressure, etc. and to
cooperatively pass their data through the network to a main location. The quality of sensors varies
significantly in terms of their sensing precision, accuracy, tolerance to hardware/external noise,
and so on. In this paper, we introduce the approach of sufficient set and necessary set for
distributed processing of probabilistic top-k queries in cluster-based wireless sensor networks. We
introduce new algorithms namely, sufficient set-based (SSB), necessary set-based (NSB) and
boundary-based (BB), for intercluster query processing with bounded rounds of communications.
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