Cellular Microscopic Pattern Recogniser – A Distributed Computational Approach for Macroscopic Event Detection in WSN | Zendy

Waleed Alfehaid | Zendy; Asad I. Khan | Zendy

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Cellular Microscopic Pattern Recogniser – A Distributed Computational Approach for Macroscopic Event Detection in WSN

Author(s) -

Waleed Alfehaid,

Asad I. Khan

Publication year - 2011

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2011.04.008

Subject(s) - computer science , computation , wireless sensor network , scheme (mathematics) , event (particle physics) , pattern detection , energy (signal processing) , wireless , artificial intelligence , distributed computing , pattern recognition (psychology) , real time computing , algorithm , computer network , telecommunications , mathematical analysis , statistics , physics , mathematics , quantum mechanics

A light weight one-shot learning pattern recognition scheme, known as Cellular Microscopic Pattern Recogniser (CMPR) is proposed that will lead to macroscopic event detection with wireless sensor networks (WSN). The scheme simplifies computations for energy conservation and speeds up recognition by leveraging the parallel distributed processing capabilities of WSN. Experimental results show that the scheme is able to detect noisy patterns with comparable accuracy to the conventional techniques

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