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Self-adaptable Routing Scheme for In-network Processing

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  • 발행기관
    보안공학연구지원센터(IJSH) 바로가기
  • 간행물
    International Journal of Smart Home 바로가기
  • 통권
    Vol.1 No.1 (2007.01)바로가기
  • 페이지
    pp.40-48
  • 저자
    Xiwei Zhao, Kami Makki, Niki Pissinou
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A67654

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원문정보

초록

영어
The wireless sensor network (WSN), is a type of self-organized distribution system without complex infrastructure requirement. However, WSN’s independence and un-attended usage limit its power supply and life expectancy. These become a critical issue for any WSN implementation. The in-network processing which, intends to minify data volume locally can greatly reduce the energy consumption of data delivery over a long distance to the sink. However, open problems are still remain with in-network processing, such as how to carry out in-network processing, and how to combine routing scheme to the sink (e.g. the long distance delivery). For any WSN application, the following pre-assumption is vital. There exists a physical signal field which bridges physical events to the sensors of WSN, otherwise WSN does not work. In fact, the physical signal field can be depicted by sensory data of all the nodes, and can even be used for local data convergence (e.g. in-network processing). An immediate solution which we propose is that, sensory data of the nodes can be converged to local extremes of the physical signal field along its gradient direction. Furthermore, the physical signal field is integrated with the cost field routing scheme. The cost field routing is in charge of delivering data to the sink. During the in-network processing, the delivery direction is derived by combining linearly the gradient directions of the cost field and physical signal field. Also simulation results show that the proposed schemes are robust, adaptable, and reliable to the variation of physical events.

목차

Abstract
 1. Introduction
 2. Background
  2.1 Gradient routing and “CoS”
  2.2 In-network processing
 3. Related work
 4. Physical signal field
 5. Algorithm
  5.1 Center Convergence Scheme
  5.2 Linear Combination Scheme
  5.3 Analysis of CCS and LCS
 6. Simulation
 7. Future work
 References

저자

  • Xiwei Zhao [ Institute of Telecommunications and Information Technology, Florida International University ]
  • Kami Makki [ Department of Electrical Engineering & Computer Science, University of Toledo ]
  • Niki Pissinou [ Institute of Telecommunications and Information Technology, Florida International University ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSH) [Science & Engineering Research Support Center, Republic of Korea(IJSH)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Smart Home
  • 간기
    격월간
  • pISSN
    1975-4094
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

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