DIKNN: An Itinerary-based KNN Query Processing Algorithm for Mobile Sensor Networks

Current approaches to K Nearest Neighbor (KNN) search in mobile sensor networks require certain kind of indexing support. This index could be either a centralized spatial index or an in-network data structure that is distributed over the sensor nodes. Creation and maintenance of these index structures, to reflect the network dynamics due to sensor node mobility, may result in long query response time and low battery efficiency, thus limiting their practical use. In this paper, we propose a maintenance-free, itinerary-based approach called Density-aware Itinerary KNN query processing (DIKNN). The DIKNN divides the search area into multiple cone-shape areas centered at the query point. It then performs a query dissemination and response collection itinerary in each of the cone-shape areas in parallel. The design of the DIKNN scheme also takes into account challenging issues such as the the dynamic adjustment of the search radius (in terms of number of hops) according to spatial irregula...

• Type: Conference
• Year: 2007
• Where: ICDE
• Authors: Shan-Hung Wu, Kun-Ta Chuang, Chung-Min Chen, Ming-Syan Chen
• Keywords: Database, ICDE 2007, Itinerary KNN Query, Query Response Time, Sensor Node Mobility