MOHA: A Novel Target Recognition Scheme for WSNs

Mohammed Al-Naeem; Asad Khan

Mobile and Ubiquitous Systems: Computing, Networking, and Services. 7th International ICST Conference, MobiQuitous 2010, Sydeny, Australia, December 6-9, 2010, Revised Selected Papers

Research Article

MOHA: A Novel Target Recognition Scheme for WSNs

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@INPROCEEDINGS{10.1007/978-3-642-29154-8_41,
    author={Mohammed Al-Naeem and Asad Khan},
    title={MOHA: A Novel Target Recognition Scheme for WSNs},
    proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 7th International ICST Conference, MobiQuitous 2010, Sydeny, Australia, December 6-9, 2010, Revised Selected Papers},
    proceedings_a={MOBIQUITOUS},
    year={2012},
    month={10},
    keywords={},
    doi={10.1007/978-3-642-29154-8_41}
}

Mohammed Al-Naeem
Asad Khan
Year: 2012
MOHA: A Novel Target Recognition Scheme for WSNs
MOBIQUITOUS
Springer
DOI: 10.1007/978-3-642-29154-8_41

Mohammed Al-Naeem¹^,*, Asad Khan¹^,*

1: Monash University

*Contact email: Mohammed.Al-Naeem@monash.edu, Asad.Khan@monash.edu

Abstract

Macroscopic Object Heuristics Algorithm (MOHA) is a one-shot learning associative memory method for target recognition in wireless sensor networks. This method is able to address pattern displacement and pattern rotation issues. This scheme is also capable of reducing the power and memory consumptions of wireless sensor networks. The experimental results show that the proposed scheme can effectively handle pattern displaced and pattern rotation problems.

Published: 2012-10-10

: http://dx.doi.org/10.1007/978-3-642-29154-8_41