Smart Monitoring of Farmland Using Fuzzy-Based Distributed Wireless Sensor Networks

  • Anagha Rajput
  • Vinoth Babu KumaraveluEmail author
  • Arthi Murugadass
Conference paper
Part of the Lecture Notes on Multidisciplinary Industrial Engineering book series (LNMUINEN)


Agricultural research is practiced globally as farming contributes to national revenue of many countries. The embryonic technologies can be intelligently used to help farmers in automating farming operations for better productivity and reduced human efforts. Recent agricultural researches emphasize majorly on agro-meteorology, wireless sensor network-based Internet of things systems for land surveillance, and geospatial technology for drought assessments. Large farmlands need to be monitored continuously to evaluate soil fertility, crop moisture and protect from crop raiders. This research work proposes an idea of smart monitoring of farmland using wireless sensor networks. The timely collected data by the network will assist the farmers to take precise agronomic decisions. The main constraint of wireless sensor networks is its limited lifetime because sensor nodes are battery-driven devices. The major energy consumption is due to long-distance radio communications. To prolong the lifetime of nodes and reduce the transmission distances, a fuzzy-based distributed clustering protocol is proposed. The network is clustered using fuzzy-c-means algorithm. The cluster head selection in each cluster is then carried out based on perception probability model. The protocol is simulated using MATLAB. The simulation results are obtained for different coverage areas. The proposed protocol outperforms the recent conventional protocols in terms of energy savings and network sustainability. The results indicate that the proposed protocol is scalable and sustainable. Hence, it can be efficiently used in farmland monitoring systems.


Fuzzy-c-means (FCM) clustering Farmland monitoring Perception probability Wireless sensor networks (WSNs) 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Electronics EngineeringVellore Institute of TechnologyVelloreIndia
  2. 2.Sreenivasa Institute of Technology and Management StudiesChittoorIndia

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