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Meilan Jiang 1 and Jonghyun Lee 2 and Karpjoo Jeong 3,4 and Zhenguo Cui 5 and Bomchul Kim 6 and Suntae Hwang 7 and Young Jean Choi 8
Academic Editor:Zhenhong Li
1, Department of Advanced Technology Fusion, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea
2, Department of Computer Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea
3, Department of Internet and Multimedia Engineering, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea
4, Institute for Ubiquitous Information Technology and Applications, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea
5, BaaS Division, APEX Platform, 253 Pangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-do 13486, Republic of Korea
6, Department of Environmental Science, Kangwon National University, 1 Kangwonddaehak-gil, Chuncheon-si, Gangwon-do 24341, Republic of Korea
7, School of Computer Science, Kookmin University, 77 Jeongneung-ro, Seongbuk-gu, Seoul 02707, Republic of Korea
8, WISE Institute, Hankuk University of Foreign Studies, Global Campus, 81 Oedae-ro Mohyueon-myeon, Cheoin-gu, Yongin-si, Gyeonggi-do 17035, Republic of Korea
Received 3 July 2015; Revised 6 October 2015; Accepted 18 October 2015; 16 December 2015
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.
1. Introduction
Environmental monitoring consists of the processes and the activities to observe the environment [1]. It is crucial for both environmental sciences and related sciences such as ecology. There are various environmental monitoring methods or technologies. A variety of human-involved sampling and lab-based sample analysis methods have been widely used but are only effective for sporadic or periodic monitoring .
As opposed to such sporadic or periodic monitoring, real time and continuous monitoring allow scientists to observe and study dynamic, rare, or abrupt phenomena in the environment. Such real time monitoring basically requires sensors for observation and measurement. Due to technical advances in sensors, wireless communication, and embedded computing, such sensor-based RTEM now becomes a viable approach to environmental research.
In fact, there have been lots of research efforts on sensor networks, sensor data repositories, and application systems for RTEM, respectively. However, there has been little research work on how to integrate them in a logical, extensible, and easily maintainable way. Therefore, conventional RTEM systems are developed...