Intelligent and situation-aware pervasive system to support debris-flow disaster prediction and alerting in Taiwan

• Published in: Journal of network and computer applications Vol. 31; no. 1; pp. 1 - 18
• Main Authors: Kung, Hsu-Yang, Ku, Hao-Hsiang, Wu, Che-I, Lin, Ching-Yu
• Format: Journal Article
• Language: English
• Published: London Elsevier Ltd 2008; Elsevier
• Subjects: Applied sciences; Computer science; control theory; systems; Debris flows; Decision and support mechanisms; Exact sciences and technology; Information systems. Data bases; Interconnected networks; Memory organisation. Data processing; Multimedia communications; Networks and services in france and abroad; Pervasive services; Situation-aware; Software; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Teleprocessing networks. Isdn; Teletraffic; Transmission and modulation (techniques and equipments); Asia; Taiwan; Multimedia communications; Debris flows; Situation-aware; Pervasive services; Decision and support mechanisms; Decision support system; Wireless telecommunication; Teletraffic; Mobile communication; Routing; Case based reasoning; Multimedia communication; Ubiquitous network; Information transmission; Control center; Information communication; Database; Internet; Localization; Constant bit rate
• ISSN: 1084-8045; 1095-8592
• DOI: 10.1016/j.jnca.2006.06.008

Effective information transmission through robust communications is critical to prevent and alert for natural disasters. However, disasters always destroy the wired communication environment. Moreover, effective information needs to reveal the real situations of the disaster, e.g., the accurate position and the real-time image/video of accident events. An accurate disaster prediction model is useful to reduce casualties and prevent disasters from occurring. An effective disaster prediction is based on the accurate disaster decision model, which can be achieved through the situation-aware information communications between the disaster area and the rescue-control center. This study proposes and designs an Intelligent and Situation-Aware Pervasive System (ISPS), which successfully alert people the occurrence of debris-flow disasters. ISPS is a three-tier architecture consisting of mobile appliances, intelligent situation-aware agents (ISA) and a decision support server based on the wireless/mobile Internet communications. Furthermore, the Location-aware Routing Prediction Method (LRPM) was developed to decrease the transmission traffic and latency of pictures pushing the maps of the disaster to mobile clients. Based on the database of the pre-analyzed 181 potential debris flows in Taiwan, accurate debris flow prediction models were built to prevent debris flow using case-based reasoning (CBR) in the decision support server.