A novel target recognition scheme for WSNs

Many existing pattern recognition schemes in wireless sensor networks suffer from pattern displacement, pattern scaling, and pattern rotation issues. We propose a novel one-shot learning associative memory method for target recognition in wireless sensor networks. This method, known as Macroscopic Object Heuristics Algorithm (MOHA), is able to address all of the above issues. Our proposed 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 and efficiently handle pattern displaced, pattern scaling, and pattern rotation issues.