IoT 18: e1

Research Article

Design and Implementation of a Wireless Sensor Network for Agricultural Applications

Download61 downloads
  • @ARTICLE{10.4108/eai.13-7-2018.158420,
        author={Jobish John and Gaurav S. Kasbekar and Dinesh K. Sharma and V. Ramulu and Maryam Shojaei Baghini},
        title={Design and Implementation of a Wireless Sensor Network for Agricultural Applications},
        journal={EAI Endorsed Transactions on Internet of Things: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={IOT},
        year={2019},
        month={4},
        keywords={Sensor network, Data collection, Energy efficiency},
        doi={10.4108/eai.13-7-2018.158420}
    }
    
  • Jobish John
    Gaurav S. Kasbekar
    Dinesh K. Sharma
    V. Ramulu
    Maryam Shojaei Baghini
    Year: 2019
    Design and Implementation of a Wireless Sensor Network for Agricultural Applications
    IOT
    EAI
    DOI: 10.4108/eai.13-7-2018.158420
Jobish John1,*, Gaurav S. Kasbekar1, Dinesh K. Sharma1, V. Ramulu2, Maryam Shojaei Baghini1
  • 1: Department of Electrical Engineering, Indian Institute of Technology Bombay, Powai - 400076, Mumbai, India
  • 2: Water Technology Center, Professor Jayashankar Telangana State Agricultural University, Rajendranagar - 500030, Hyderabad, India
*Contact email: jobish.john@ee.iitb.ac.in

Abstract

We present the design and implementation of a shortest path tree based, energy efficient data collection wireless sensor network to sense various parameters in an agricultural farm using in-house developed low cost sensors. Nodes follow a synchronized, periodic sleep-wake up schedule to maximize the lifetime of the network. The implemented network consists of 24 sensor nodes in a 3 acre maize farm and its performance is captured by 7 snooper nodes for different data collection intervals: 10 minutes,1 hour and 3 hours. The almost static nature of wireless links in the farm motivated us to use the same tree for a long data collection period (3 days). The imbalance in energy consumption across nodes is observed to be very small and the network architecture uses easy-to-implement protocols to perform different network activities including handling of node failures. We present the results and analysis of extensive tests conducted on our implementation, which provide significant insights.