Mobile SensorGroup with smart path for detecting target area

Kuen-Liang Sue, Jing-Wei Lin
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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.
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具有智能路径的移动传感器组用于检测目标区域
本研究的目的是设计一种智能机制来探索植物中未知的目标区域,如海洋中的石油污染。为了高效地探索目标区域,提出了一种基于增量聚类算法的智能感知机制,与小型传感网络结构中心化传感器群(CSG)协同工作。在调查中提供并验证了操作流程和检测阶段。在100 * 100的正方形实验区域内,通过观察不同场景下的检测完整性和准确性来评估系统性能。无论是大场景还是小场景,仿真结果都表明,CSG配合智能传感机制具有相当好的探测精度和效率,能够实现高效、有效地探测目标区域的目的。
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