A Real-time Precision Agriculture Monitoring System using Mobile Sink in WSNs

Recent advances in sensor technology has influenced various aspects of human-life. It has highly improved the monitoring and control applications. Precision agriculture is one such application that requires real-time monitoring of agricultural field to take smarter decisions. A deterministic deployment strategy in Wireless Sensor Networks (WSNs) is used to deploy sensor nodes in a predefine deployment pattern to cover the entire monitoring region. This paper presents a system that monitors the agricultural field in real-time by using a single mobile sink in WSNs. We use the square deployment pattern for placement of the sensors in the agriculture field. A prototype is also developed and tested on real-time agricultural field data. The prototype uses temperature, humidity, and soil moisture sensors attached with NodeMCU. The system uses Wi-Fi for transferring the data collected from sensors to the mobile sink.

[1]  Hari Prabhat Gupta,et al.  Analysis of Stochastic $k$-Coverage and Connectivity in Sensor Networks With Boundary Deployment , 2015, IEEE Transactions on Intelligent Transportation Systems.

[2]  Tuan Dinh Le,et al.  Design and deploy a wireless sensor network for precision agriculture , 2015, 2015 2nd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS).

[3]  Hari Prabhat Gupta,et al.  Regular Node Deployment for $k$ -Coverage in $m$ -Connected Wireless Networks , 2015 .

[4]  T. H. Feiroz Khan,et al.  Mobile Collector Aided Energy Reduced (MCER) Data Collection in Agricultural Wireless Sensor Networks , 2016, 2016 IEEE 6th International Conference on Advanced Computing (IACC).

[5]  Miguel Ángel Porta-Gándara,et al.  Automated Irrigation System Using a Wireless Sensor Network and GPRS Module , 2014, IEEE Transactions on Instrumentation and Measurement.

[6]  Mohammed Abo-Zahhad,et al.  Coverage maximization in mobile Wireless Sensor Networks utilizing immune node deployment algorithm , 2014, 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE).

[7]  Wen-Hwa Liao,et al.  An efficient load balance data collection scheme in wireless sensor networks , 2015, 2015 Seventh International Conference on Ubiquitous and Future Networks.

[8]  B. Sridhar,et al.  IoT based smart crop-field monitoring and automation irrigation system , 2018, 2018 2nd International Conference on Inventive Systems and Control (ICISC).

[9]  Ozgur Koray Sahingoz,et al.  2D coverage analysis of sensor networks with random node deployment , 2017, 2017 International Artificial Intelligence and Data Processing Symposium (IDAP).

[10]  Tanima Dutta,et al.  Analysis of Coverage Under Border Effects in Three-Dimensional Mobile Sensor Networks , 2017, IEEE Transactions on Mobile Computing.

[11]  Hari Prabhat Gupta,et al.  Demand-Based Coverage and Connectivity-Preserving Routing in Wireless Sensor Networks , 2016, IEEE Systems Journal.

[12]  Tanima Dutta,et al.  Coverage and Connectivity in WSNs: A Survey, Research Issues and Challenges , 2018, IEEE Access.

[13]  Annop Ruangwiset The application of unmanned aerial vehicle to precision agriculture: Verification experiments of the power consumption , 2014, 2014 International Conference on Information Science, Electronics and Electrical Engineering.

[14]  Lina Zhou,et al.  Patients' Adoption of WSN-Based Smart Home Healthcare Systems: An Integrated Model of Facilitators and Barriers , 2017, IEEE Transactions on Professional Communication.

[15]  Constantin Grumazescu,et al.  WSN solutions for communication challenges in military live simulation environments , 2016, 2016 International Conference on Communications (COMM).

[16]  Paul N. Balister,et al.  Random vs. Deterministic Deployment of Sensors in the Presence of Failures and Placement Errors , 2009, IEEE INFOCOM 2009.

[17]  Carlos E. Otero,et al.  A Framework for Optimizing the Deployment of Wireless Sensor Networks , 2018, IEEE Transactions on Network and Service Management.

[18]  Juha Suomalainen,et al.  Generation of Spectral–Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[19]  Tanima Dutta,et al.  A Target Tracking System Using Directional Nodes in Wireless Sensor Networks , 2019, IEEE Systems Journal.

[20]  Hari Prabhat Gupta,et al.  Sleep scheduling for partial coverage in heterogeneous wireless sensor networks , 2013, 2013 Fifth International Conference on Communication Systems and Networks (COMSNETS).