Taylor and Francis Ltd.;Abingdon: Taylor & Francis
摘要:
摘要： We present LOST-Tree, a new spatio-temporal structure to manage sensor data loading and caching in a sensor web browser. In the same way that the World Wide Web needs a web browser to load and display web pages, the World-Wide Sensor Web needs a sensor web browser to access distributed and heterogeneous sensor networks. However, most existing sensor web browsers are just mashups of sensor locations and base maps that do not consider the scalability issues regarding transmitting large amounts of sensor readings over the Internet. While caching is an effective solution for alleviating the latency and bandwidth problems, a method for efficiently loading sensor data 1 from sensor web servers is currently missing. Therefore, we present LOST-Tree as a sensor data loading component that also manages the client-side cache on a sensor web browser. By applying LOST-Tree, redundant transmissions are avoided, enabling efficient loading with cached sensor data. We demonstrate that LOST-Tree is lightweight and scalable, in terms of sensor data volume. We implemented LOST-Tree in the GeoCENS sensor web browser for evaluation with a real sensor web dataset. 出版者： Abingdon: Taylor & Francis 出版日期： 2013-06-01 出處： International journal of geographical information science : IJGIS, 2013-06, Vol.27 (6), p.1190-1209 資源來源： Alma/SFX Local Collection 版權： Copyright Taylor & Francis Group, LLC 2013 版權： Copyright Taylor & Francis Group 2013 識別號： ISSN: 1365-8816 識別號： EISSN: 1362-3087 識別號： EISSN: 1365-8824 識別號： DOI: 10.1080/13658816.2012.743663
