k-nearest neighbor search based on node density in manets

Clicks: 97
ID: 229905
2014
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Abstract
In a kNN query processing method, it is important to appropriately estimate the range that includes kNNs. While the range could be estimated based on the node density in the entire network, it is not always appropriate because the density of nodes in the network is not uniform. In this paper, we propose two kNN query processing methods in MANETs where the density of nodes is ununiform; the One-Hop (OH) method and the Query Log (QL) method. In the OH method, the nearest node from the point specified by the query acquires its neighbors' location and then determines the size of a circle region (the estimated kNN circle) which includes kNNs with high probability. In the QL method, a node which relays a reply of a kNN query stores the information on the query result for future queries.
Reference Key
komai2014mobilek-nearest Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Yuka Komai;Yuya Sasaki;Takahiro Hara;Shojiro Nishio
Journal ui sahak
Year 2014
DOI
10.3233/MIS-140189
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