Title :
Mobile SensorGroup with smart path for detecting target area
Author :
Sue, Kuen-Liang ; Lin, Jing-Wei
Author_Institution :
Department of Information Management, National Central University, Taoyuan, Taiwan
Abstract :
The aim of this study is to design an intelligent mechanism for exploring unknown target areas in a plant, such as oil pollution in ocean. To explore the target area efficiently, a smart sensing mechanism based on Incremental Clustering algorithm is proposed to cooperate with a small sensing network structure named Centralized SensorGroup (CSG). The operation processes and detection phases are provided and verified in the investigation. System performance is evaluated by observing the detection completeness and accuracy in different scenarios within a square experimental area of 100m∗100m. No matter when large or small scenarios are explored, simulation results demonstrate that CSG cooperated with the smart sensing mechanism has quite good detection accuracy and efficiency and can achieve the purpose of exploring target area efficiently and effectively.
Keywords :
Accuracy; Algorithm design and analysis; Clustering algorithms; Mobile communication; Mobile computing; Robot sensing systems; Exploration; Incremental Clustering; Mobile Sensor Networks;
Conference_Titel :
Wireless Information Networks and Systems (WINSYS), Proceedings of the 2010 International Conference on
Conference_Location :
Athens
