Energy efficient automated control of irrigation in agriculture by using wireless sensor networks

被引:114
|
作者
Nikolidakis, Stefanos A. [1 ]
Kandris, Dionisis [2 ]
Vergados, Dimitrios D. [1 ]
Douligeris, Christos [1 ]
机构
[1] Univ Piraeus, Dept Informat, Piraeus, Greece
[2] Technol Educ Inst TEI Athens, Dept Elect Engn, Athens, Greece
关键词
Agriculture; Irrigation; WSNs; Energy Efficiency; SYSTEM;
D O I
10.1016/j.compag.2015.02.004
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Many agricultural activities can be highly enhanced by using digital technologies. One of these activities is the regulation of the quantity of water in cultivated fields, a process which is directly interwoven with the sustainability and the productivity of crops, since insufficient or excessive irrigation may not only be obstructive, but also destructive. This paper proposes a scheme based on the collaboration of an integrated system for automated irrigation management with an advanced novel routing protocol for Wireless Sensor Networks (WSNs), named ECHERP (Equalized Cluster Head Election Routing Protocol). At its core, the proposed system aims at efficiently managing water supply in cultivated fields in,an automated way. The system takes into consideration the historical data and the change on the climate values to calculate the quantity of water that is needed for irrigation. In case that the change on the collected values is above a threshold more frequent data collection is proposed to minimize the necessary quantity of water. On the other hand, in case that the change of the values is below a preset threshold then the time interval to collect data can increase to save sensor energy, leading to a prolonged sensor lifetime. The results show that network lifetime using ECHERP is improved up to 1825 min and if a round is 110 s the model provides energy efficiency using smaller water quantities. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:154 / 163
页数:10
相关论文
共 50 条
  • [41] Energy efficient congestion control in wireless sensor networks using meta-heuristic algorithms
    Ali, Abdul
    Vadivel, M.
    INTERNATIONAL JOURNAL OF COMMUNICATION NETWORKS AND DISTRIBUTED SYSTEMS, 2023, 29 (04) : 448 - 473
  • [42] Energy-efficient topology control for wireless sensor networks using online battery monitoring
    Behrens, C.
    Bischoff, O.
    Lueders, M.
    Laur, R.
    ADVANCES IN RADIO SCIENCE, 2007, 5 : 205 - 208
  • [43] Energy efficient data aggregation in wireless sensor networks using neural networks
    Khorasani, Fereshteh
    Naji, Hamid Reza
    INTERNATIONAL JOURNAL OF SENSOR NETWORKS, 2017, 24 (01) : 26 - 42
  • [44] Energy-efficient hierarchical topology control in wireless sensor networks using time slots
    Xiong, Shu-Ming
    Wang, Liang-Min
    Wu, Ji-Ying
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 33 - +
  • [45] Energy efficient authentication in wireless sensor networks
    Soderlund, Rickard
    Svensson, Stefan
    Lennvall, Tomas
    ETFA 2007: 12TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, VOLS 1-3, 2007, : 1412 - +
  • [46] Energy Efficient Routing for Wireless Sensor Networks
    Getachew, Yidnekachew
    Chung, Tae-Sun
    2012 8TH INTERNATIONAL CONFERENCE ON COMPUTING AND NETWORKING TECHNOLOGY (ICCNT, INC, ICCIS AND ICMIC), 2012, : 358 - 361
  • [47] Energy efficient routing in wireless sensor networks
    Schurgers, C
    Srivastava, MB
    2001 MILCOM, VOLS 1 AND 2, PROCEEDINGS: COMMUNICATIONS FOR NETWORK-CENTRIC OPERATIONS: CREATING THE INFORMATION FORCE, 2001, : 357 - 361
  • [48] ENERGY EFFICIENT CLUSTERING IN WIRELESS SENSOR NETWORKS
    Muthukumaran, K.
    Chitra, K.
    Selvakumar, C.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTING AND INFORMATICS (ICICI 2017), 2017, : 351 - 355
  • [49] Energy efficient techniques in wireless sensor networks
    Chugh A.
    Panda S.
    Recent Patents on Engineering, 2019, 13 (01) : 13 - 19
  • [50] Energy and Spectrum Efficient Wireless Sensor Networks
    Pasolini, Gianni
    Alexandropoulos, George
    Mucchi, Lorenzo
    Prieto, Javier
    Shen, Yuan
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2016,