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Sensors 2017, 17(9), 2051; doi:10.3390/s17092051

BMRC: A Bitmap-Based Maximum Range Counting Approach for Temporal Data in Sensor Monitoring Networks

College of Computer Science, Zhejiang University of Technology, Hangzhou 310023, China
Graduate School of Game Gachon University 1342 Seongnam Daero, Sujeong-Gu, Seongnam-Si, Gyeonggi-Do 461-701, Korea
Hithink Royal Flush Information Network Co., Ltd., Financial Information Engineering Technology Research Center of Zhejiang Province, Hangzhou 310012, China
Author to whom correspondence should be addressed.
Received: 10 July 2017 / Revised: 29 August 2017 / Accepted: 30 August 2017 / Published: 7 September 2017
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Due to the rapid development of the Internet of Things (IoT), many feasible deployments of sensor monitoring networks have been made to capture the events in physical world, such as human diseases, weather disasters and traffic accidents, which generate large-scale temporal data. Generally, the certain time interval that results in the highest incidence of a severe event has significance for society. For example, there exists an interval that covers the maximum number of people who have the same unusual symptoms, and knowing this interval can help doctors to locate the reason behind this phenomenon. As far as we know, there is no approach available for solving this problem efficiently. In this paper, we propose the Bitmap-based Maximum Range Counting (BMRC) approach for temporal data generated in sensor monitoring networks. Since sensor nodes can update their temporal data at high frequency, we present a scalable strategy to support the real-time insert and delete operations. The experimental results show that the BMRC outperforms the baseline algorithm in terms of efficiency. View Full-Text
Keywords: Internet of Things (IoT); sensor monitoring networks; bitmap; maximum range counting Internet of Things (IoT); sensor monitoring networks; bitmap; maximum range counting

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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. (CC BY 4.0).

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Cao, B.; Chen, W.; Shen, Y.; Hou, C.; Kim, J.Y.; Yu, L. BMRC: A Bitmap-Based Maximum Range Counting Approach for Temporal Data in Sensor Monitoring Networks. Sensors 2017, 17, 2051.

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