Coverage Ratio in the Wireless Sensor Networks Using Monte Carlo Simulation

被引:9
|
作者
Kwon, Seok Myun [1 ]
Kim, Jin Suk [1 ]
机构
[1] Univ Seoul, Seoul, South Korea
关键词
D O I
10.1109/NCM.2008.248
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The coverage is the one of important issues in the wireless sensor networks. The coverage ratio means that the ratio of whole area to covered area by sensor [1]. Many researchers study about the coverage in the wireless sensor networks [1, 2, 3, 4]. The Monte Carlo method is very simple and flexible approach for approximation of solutions in physical science and engineering [7]. In this paper, we propose the coverage measurement method using Monte Carlo simulation in wireless sensor networks. As a result, we estimate the number of samples. And we test and analyze the measurement method
引用
收藏
页码:235 / 238
页数:4
相关论文
共 50 条
  • [1] Monte Carlo simulation of LEACH protocol for wireless sensor networks
    Wang, Y
    Xiong, MD
    PDCAT 2005: SIXTH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED COMPUTING, APPLICATIONS AND TECHNOLOGIES, PROCEEDINGS, 2005, : 85 - 87
  • [2] Monte Carlo localization for mobile wireless sensor networks
    Baggio, Aline
    Langendoen, Koen
    AD HOC NETWORKS, 2008, 6 (05) : 718 - 733
  • [3] Sensor-Assisted Monte Carlo Localization for Wireless Sensor Networks
    Hartung, Salke
    Taheri, Somayeh
    Hogrefe, Dieter
    2014 IEEE 4TH ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER), 2014, : 219 - 224
  • [4] Monte-carlo localization for mobile wireless sensor networks
    Baggio, Aline
    Langendoen, Koen
    MOBILE AD-HOC AND SENSOR NETWORKS, PROCEEDINGS, 2006, 4325 : 317 - +
  • [5] SIMULATION OF WIRELESS SENSOR NETWORKS UNDER PARTIAL COVERAGE
    Lamprecht, Ruth
    Kemper, Peter
    PROCEEDINGS OF THE 2011 WINTER SIMULATION CONFERENCE (WSC), 2011, : 3131 - 3140
  • [6] COMPARISON OF RATIO ESTIMATORS USING MONTE CARLO SIMULATION
    Reddy, M. Krishna
    Rao, K. Ranga
    Boiroju, Naveen Kumar
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES, 2010, 6 (02): : 517 - 527
  • [7] Reliability Modeling and Monte Carlo-Based Simulation for Optimal Wireless Sensor Networks Lifetime Assessment
    Ahmed, Yousif E. E.
    Adjallah, Kondo H.
    Babikier, Sharef F.
    Stock, Romuald
    DATA-DRIVEN MODELING FOR SUSTAINABLE ENGINEERING, ICEASSM 2017, 2020, 72 : 69 - 83
  • [8] Monte Carlo localization of wireless sensor networks with a single mobile beacon
    Rui Huang
    Gergely V. Záruba
    Wireless Networks, 2009, 15 : 978 - 990
  • [9] An Improved Monte Carlo Localization Algorithm for Mobile Wireless Sensor Networks
    Luan, Jingye
    Zhao, Ruida
    Zhang, Baihai
    Cui, Lingguo
    2014 SEVENTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2014), VOL 1, 2014, : 477 - 480
  • [10] Monte Carlo localization of wireless sensor networks with a single mobile beacon
    Huang, Rui
    Zaruba, Gergely V.
    WIRELESS NETWORKS, 2009, 15 (08) : 978 - 990