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.