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      Efficient REBTA data reporting algorithm for object tracking in wireless sensor networks

      한글로보기

      https://www.riss.kr/link?id=O120739171

      • 저자
      • 발행기관
      • 학술지명
      • 권호사항
      • 발행연도

        2018년

      • 작성언어

        -

      • Print ISSN

        1074-5351

      • Online ISSN

        1099-1131

      • 등재정보

        SCOPUS;SCIE

      • 자료형태

        학술저널

      • 수록면

        n/a-n/a   [※수록면이 p5 이하이면, Review, Columns, Editor's Note, Abstract 등일 경우가 있습니다.]

      • 구독기관
        • 전북대학교 중앙도서관  
        • 성균관대학교 중앙학술정보관  
        • 부산대학교 중앙도서관  
        • 전남대학교 중앙도서관  
        • 제주대학교 중앙도서관  
        • 중앙대학교 서울캠퍼스 중앙도서관  
        • 인천대학교 학산도서관  
        • 숙명여자대학교 중앙도서관  
        • 서강대학교 로욜라중앙도서관  
        • 계명대학교 동산도서관  
        • 충남대학교 중앙도서관  
        • 한양대학교 백남학술정보관  
        • 이화여자대학교 중앙도서관  
        • 고려대학교 도서관  
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      다국어 초록 (Multilingual Abstract)

      Object tracking is widely referred as one of the most interesting applications of wireless sensor networks (WSNs). This application is able to detect and track objects and report information about these objects to a central base station. One of the major drawbacks in the current research in WSNs is the quality of the data reporting where the major research focus is dedicated to localization of objects; however, few of these works were concentrated on the data reporting. An efficient data reporting algorithm for object tracking in WSNs is proposed in this paper. The main objective of this paper is to enhance the WSN lifetime by achieving both minimum energy and balancing such consumption in sensor nodes during reporting operation. Furthermore, in our model, the enhancement of network reliability is considered. Finally, it reduces the effects of congestion by sufficiently utilizing the under loaded nodes to improve the network throughput. This paper formulates the object tracking problem in large‐scale WSN into 0/1 integer linear programming problem, and then proposes a reliable energy balance traffic aware approach to solve the optimization problem. From the obtained simulation results, the proposed solution has proved to be able to enhance the network performance in network lifetime, throughput, end‐to‐end delay, energy balance, and complexity for both homogeneous and heterogeneous networks.
      Reliable energy balance traffic aware is used to solve the problem of multiobject tracking by using wireless sensor networks. The main objective of this paper is to enhance the wireless sensor network lifetime by achieving both minimum energy consumption and balancing such consumption in sensor nodes during reporting operation. In addition, it reduces the effects of congestion by sufficiently utilizing the under loaded nodes to improve the network throughput and enhance the network reliability.
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      Object tracking is widely referred as one of the most interesting applications of wireless sensor networks (WSNs). This application is able to detect and track objects and report information about these objects to a central base station. One of the ma...

      Object tracking is widely referred as one of the most interesting applications of wireless sensor networks (WSNs). This application is able to detect and track objects and report information about these objects to a central base station. One of the major drawbacks in the current research in WSNs is the quality of the data reporting where the major research focus is dedicated to localization of objects; however, few of these works were concentrated on the data reporting. An efficient data reporting algorithm for object tracking in WSNs is proposed in this paper. The main objective of this paper is to enhance the WSN lifetime by achieving both minimum energy and balancing such consumption in sensor nodes during reporting operation. Furthermore, in our model, the enhancement of network reliability is considered. Finally, it reduces the effects of congestion by sufficiently utilizing the under loaded nodes to improve the network throughput. This paper formulates the object tracking problem in large‐scale WSN into 0/1 integer linear programming problem, and then proposes a reliable energy balance traffic aware approach to solve the optimization problem. From the obtained simulation results, the proposed solution has proved to be able to enhance the network performance in network lifetime, throughput, end‐to‐end delay, energy balance, and complexity for both homogeneous and heterogeneous networks.
      Reliable energy balance traffic aware is used to solve the problem of multiobject tracking by using wireless sensor networks. The main objective of this paper is to enhance the wireless sensor network lifetime by achieving both minimum energy consumption and balancing such consumption in sensor nodes during reporting operation. In addition, it reduces the effects of congestion by sufficiently utilizing the under loaded nodes to improve the network throughput and enhance the network reliability.

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