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

fYear

2010

fDate

26-28 July 2010

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Information Networks and Systems (WINSYS), Proceedings of the 2010 International Conference on

Conference_Location

Athens

Type

conf

Filename

5741490