Mobile Information Systems

Mobile Information Systems / 2014 / Article

Open Access

Volume 10 |Article ID 158737 |

Yuka Komai, Yuya Sasaki, Takahiro Hara, Shojiro Nishio, "k-Nearest Neighbor Search based on Node Density in MANETs", Mobile Information Systems, vol. 10, Article ID 158737, 21 pages, 2014.

k-Nearest Neighbor Search based on Node Density in MANETs

Received30 May 2014
Accepted30 May 2014


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.

Copyright © 2014 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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