教師資料查詢 | 類別: 期刊論文 | 教師: 惠 霖 LIN HUI (瀏覽個人網頁)

標題:Effectiveness analysis of an IoT mechanism in support of monitoring Chinese white dolphins by simulation model
學年108
學期2
出版(發表)日期2020/05/01
作品名稱Effectiveness analysis of an IoT mechanism in support of monitoring Chinese white dolphins by simulation model
作品名稱(其他語言)
著者Qiao Ming Peng; Lin Hui; Kuei Min Wang; Liang Cheng Chang
單位
出版者
著錄名稱、卷期、頁數The Journal of Supercomputing 76, p.3847–3865
摘要The population of the Chinese white dolphin is claimed to be critically endangered and is on the International Union for Conservation of Nature (IUCN) Red list. It is estimated that there are fewer than 100 individuals in the East Taiwan Strait, and the number is falling. The dolphin’s habitat has been seriously impacted by man-made pollution, such as industry contamination, fishing, and noise. To prevent extinction of the species, conservative action is vital. Prior to any such action, data on the dolphin are essential for decision makers. The current method of observing dolphins is the man-on-boat-watch approach, which is heavily dependent on manpower. Its performance is seriously affected by the weather, fatigue of those on board, and it is also risky and costly. An Internet of things (IoT) data collection mechanism concept is proposed for the purpose of observing dolphins with close watch. It consists of off-the-shelf products such as hydrophones, unmanned aerial vehicles (UAVs) and a specific command and control in search/detection for carrying out the observation task. A Monte Carlo simulation model was developed to analyze the effectiveness of the feasible alternatives, in which some factors are considered and analyzed for their significance. The simulation result showed that the IoT mechanism has an 8.5 times greater chance of availability in operation and at least 2 times more contact than the man-on-boat-watch method. The significant factor affecting the IoT mechanism’s effectiveness is the number of hydrophones and UAVs in the scenario. The great contribution made by this study is that it is the first analytical paper to reveal the effectiveness of an IoT mechanism in benefitting the observation of Chinese white dolphin. The limitation is that it uses off-the shelf products for the IoT mechanism instead of high-end products which could be more effective.
關鍵字Chinese white dolphin;IoT mechanism;Simulation;Hydrophone;UAV;AOU
語言英文
ISSN1573-0484
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
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