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Design of Stochastic Movement Model Considering Sensor Node Reliability and Energy Efficiency

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication 바로가기
  • 통권
    Vol.12 No.3 (2020.08)바로가기
  • 페이지
    pp.156-162
  • 저자
    Do-Hyeoun Cho, Yun Dai Yeol, Chi-Gon Hwang
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A380605

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원문정보

초록

영어
Wireless Sensor Network (WSN) field is mainly studied to monitor and characterize large-scale physical environments to track various environmental or physical conditions, such as temperature, pressure, wind speed and humidity. WSN can be used in various applications such as wild surveillance, military target tracking and monitoring, dangerous environmental exploration and natural disaster relief. We design probabilistic mobile models that apply to mobile ad hoc network mobile environments. A probabilistic shift model proposed by dividing the number of moving nodes and the distance of travel into two categories to express node movement characteristics. The proposed model of movement through simulation was compared with the existing random movement model, ensuring that the width and variation rate of the first node node node node (FND) was stable regardless of the node movement rate. In addition, when the proposed mobile model is applied to the routing protocol, the superiority of network life can be verified from measured FND values. We overcame the limitations of the existing random movement model, showing excellent characteristics in terms of energy efficiency and stable in terms of changes in node movement.

목차

Abstract
1. Introduction
2. Related Works
2.1 Wireless Sensor Networks
2.2 Mobile Ad-hoc NETwork, MANET
2.3 Mobile model in wireless sensor network
3. Proposed Method : Stochastic Movement Model
4. Simulatin and Results
5. Conclusions
References

키워드

Magnet Mobility Model(MM) First Node Dead(FND) Mobile characteristics Random model Energy-consumption

저자

  • Do-Hyeoun Cho [ Professor, Department of Digital Electronics, Inha technical Collage, 100 Inha-Ro, Namgu, Incheon, 22212, Korea ] Corresponding Author
  • Yun Dai Yeol [ Professor, Department of information and communication Engineering, Institute of Information Technology, Kwangwoon University, Seoul, 01897, Korea ]
  • Chi-Gon Hwang [ Visiting Professor, Department of Computer Engineering, Institute of Information Technology, Kwangwoon University, Seoul, 01897, Korea ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.12 No.3

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