Information discovery in mission-critical wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Optimizing in-network aggregate queries in wireless sensor networks for energy saving
Data & Knowledge Engineering
Searching K-nearest neighbor nodes based on node density in ad hoc networks
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
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Current approaches to K Nearest Neighbor (KNN) search in mobile sensor networks require certain kind of indexing support. 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. 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 takes into account several challenging issues such as the tradeoff between degree of parallelism and network interference on query response time, and the dynamic adjustment of the search radius (in terms of number of hops) according to spatial irregularity or mobility of sensor nodes. This model is validated by extensive simulations. The simulation results show that DIKNN yields substantially better performance and scalability over previous work, both as k increases and as the sensor node mobility increases.