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Improvement of Target Discrimination for Monitoring Area Application by a New Proposed Network Design of WSN

Target identification based on wireless sensors networks (WSN) is considered as one of the main objectives in “area monitoring” concepts. In this paper, we propose a novel network design for target monitoring area. In our design, we apply no more than two types of nodes sensors. Therefore, we use a simple probabilistic formula to ensure accurate target identification with a minimum of hardware, computational and processing resources compared to other sensors and identification methods. By this work, we develop a novel algorithm to classify targets and arrange them among the three classes (Person carrying metal, Soldier, and Vehicle).