@inproceedings{6f6e70d49ec040da9e72726ff15e6170,
title = "Effective low-latency K-nearest neighbor search via wireless data broadcast",
abstract = "To facilitate power saving via wireless data broadcast, index information is typically broadcast along with the data. By first accessing the broadcast index, the mobile client is able to predict the arrival time of the desired data. However, it suffers from the drawback that the client has to wait and tune for an index segment, in order to conserve battery power consumption. Moreover, the average time elapsed between the request for the data and its receipt may increase as a result of these additional messages. In this paper, we present a broadcast-based spatial query processing method designed to support K-NN(K-Nearest Neighbor) queries via wireless data broadcast. With the proposed schemes, the client can perform NN query processing without having to tune into an index segment. Experiments are conducted to evaluate the performance of the proposed methods. The resulting latency and energy consumption are close to the optimum values, as the analysis and simulation results indicate.",
author = "Park, {Kwang Jin} and Song, {Moon Bae} and Kong, {Ki Sik} and Kang, {Sang Won} and Hwang, {Chong Sun} and Chung, {Kwang Sik} and Jung, {Soon Young}",
year = "2006",
doi = "10.1007/11733836_67",
language = "English",
isbn = "3540333371",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "900--909",
booktitle = "Database Systems for Advanced Applications - 11th International Conference, DASFAA 2006, Proceedings",
note = "11th International Conference on Database Systems for Advanced Applications, DASFAA 2006 ; Conference date: 12-04-2006 Through 15-04-2006",
}