نوع مقاله : مقاله پژوهشی
نویسندگان
دانشگاه صنعتی مالک اشتر
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Wireless sensor networks are significant technologies nowadays which provide opportunities for several military and industrial fields. One of the most crucial of these applications is field and border monitoring. Detection and recognition of an intruder is performed based on sensor measurements from environment. Implementation of suitable pattern-recognition algorithms is necessary to process these data. This paper presents a comparison between performances of the most commonly used algorithms in this field from different points of view. Also a new algorithm for weighted decision fusion is introduced. It will be shown that with help of this algorithm, the result will become more accurate. The accuracy of this algorithm is about 11 percent better than common decision fusion algorithms.
کلیدواژهها [English]
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