Title :
The Presentation of Interaction for Coverage Analysis in Sensor Networks
Author :
Wang, R. ; Wan, W.G. ; Li, Y.P.
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
Abstract :
Because of sensors with different types and some other different characteristics in real deployment, there exist four kinds of interaction among sensors in information fusion for coverage analysis, including negative synergy, positive synergy, independency and interference. In order to handle the interaction properly, the discrete fuzzy measure theory is introduced to represent the interaction among sensors and discuss how to determine the interaction via fuzzy measure in sensor networks. An example is provided to illustrate the interaction in sensor networks. The results show that handling the interaction among sensors in networks can provide more useful information for coverage analysis.
Keywords :
fuzzy set theory; radiofrequency interference; sensor fusion; wireless sensor networks; coverage analysis; coverage analysis interaction; discrete fuzzy measure theory; information fusion; negative synergy; sensor networks; Automation; Collaborative work; Frequency; Information analysis; Information processing; Interference; Mechatronics; Sensor fusion; Sensor phenomena and characterization; Wireless communication; 2-additive fuzzy measure; coverage analysis; interaction model; sensor network;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.644
