An Efficient Method for Collecting Spatio-Temporal Data in the WSN Using Mobile Sinks

被引:0
作者
Materukhin, Andrey [1 ]
Shakhov, Vladimir [2 ]
Sokolova, Olga [3 ]
机构
[1] Moscow State Univ Geodesy & Cartog, Moscow, Russia
[2] RAS, Novosibirsk State Tech Univ, Inst Computat Math & Math Geophys SB, Novosibirsk, Russia
[3] RAS, Inst Computat Math & Math Geophys SB, Novosibirsk, Russia
来源
2017 INTERNATIONAL MULTI-CONFERENCE ON ENGINEERING, COMPUTER AND INFORMATION SCIENCES (SIBIRCON) | 2017年
关键词
geosensor; mobile sinks; spatio-temporal data; wireless sensor network; NETWORKS;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The article is a concise presentation of the results of the research in the area of increasing the efficiency of energy consumption for the process of collecting spatio-temporal data with the wireless geosensor networks. Energy saving is a very significant consideration in the design of those systems, since geosensors used for environmental monitoring have limited possibilities for recharge of the batteries. The proposed approach allows increasing the lifetime of wireless geosensor networks by optimizing the relocation of mobile sinks.
引用
收藏
页码:118 / 120
页数:3
相关论文
共 50 条
  • [31] A Data Gathering Scheme for WSN/WSAN Based on Partitioning Algorithm and Mobile Sinks
    Zhang, Xiangli
    Bao, Hanrong
    Yan, Kun
    Zhang, Hongmei
    Ye, Jin
    2013 IEEE 15TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS & 2013 IEEE INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (HPCC_EUC), 2013, : 1968 - 1973
  • [32] Scalable earthquake magnitude prediction using spatio-temporal data and model versioning
    Rahul Singh
    Bholanath Roy
    Scientific Reports, 15 (1)
  • [33] Spatio-temporal clustering analysis and technological forecasting of nanotechnology using patent data
    Forestal, Roberto Louis
    Lee, Hsin Inn
    Pi, Shih-Ming
    Liu, Su-Houn
    TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2024, 36 (05) : 1037 - 1053
  • [34] Spatio-Temporal Interpolation of CO Concentration using a Likelihood-Based Method
    Rivaz, Firoozeh
    Environmental Science and Technology, Pt 1, 2011, 6 : VI290 - VI292
  • [35] MODELING AND VISUALIZATION OF SPACE OBJECTS SPATIO-TEMPORAL DATA
    Xu Qing
    Zhou Yang
    Zhang Baoming
    Lan ChaoZhen
    4TH ISPRS INTERNATIONAL WORKSHOP 3D-ARCH 2011: 3D VIRTUAL RECONSTRUCTION AND VISUALIZATION OF COMPLEX ARCHITECTURES, 2011, 38-5 (W16): : 155 - 162
  • [36] A programming model for spatio-temporal data streaming applications
    Imai, Shigeru
    Varela, Carlos A.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, ICCS 2012, 2012, 9 : 1139 - 1148
  • [37] Mining Spatio-Temporal Data at Different Levels of Detail
    Camossi, Elena
    Bertolotto, Michela
    Kechadi, Tahar
    EUROPEAN INFORMATION SOCIETY: TAKING GEOINFORMATION SCIENCE ONE STEP FURTHER, 2009, : 225 - 240
  • [38] Spatio-temporal data mining in ecological and veterinary epidemiology
    Aristides Moustakas
    Stochastic Environmental Research and Risk Assessment, 2017, 31 : 829 - 834
  • [39] A Density-Based Clustering of Spatio-Temporal Data
    Zaghlool, Ehab
    ElKaffas, Saleh
    Saad, Amani
    NEW CONTRIBUTIONS IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 2, 2015, 354 : 41 - 50
  • [40] A Novel Chaotic Shark Smell Optimization With LSTM for Spatio-Temporal Analytics in Clustered WSN
    Kusuma, S. M.
    Veena, K. N.
    Varun, B. V.
    INTERNATIONAL JOURNAL OF INFORMATION SECURITY AND PRIVACY, 2022, 16 (02)