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Ambient crop field monitoring for improving context based agricultural by mobile sink in WSN

  • T. H. Feiroz Khan
  • D. Siva Kumar
Original Research
  • 8 Downloads

Abstract

Climate-based agriculture is an essential proficiency that maximizes the context based agricultural yields via suitable ambient monitoring services modified with the information gained from the sensors. Monitoring weather in real time scenario is the primary criterion to observe the climate ambient of a farm. Several farms relevant troubles can be resolved by better realizing the ambient weather situation. Increasing agricultural productivity technique is proposed to improve the precision farming field. However, it creates an additional delay in transferring the information to farmer also it creates additional energy consumption. To overcome these problems, we propose ambient crop field monitoring for improving Context based agricultural by mobile sink in wireless sensor networks. Ambient monitoring objective is to increase the yield of crops while diminishing the use of the property. The mobile sink is introduced to collect the updated ambient information from the sensors and send it to the base station. This research work aims to design a better path using a sensor node to a mobile sink and mobile sink travelling path for reducing energy consumption and delay in the context based agricultural wireless sensor networks. In this scheme, the sensor nodes have formed the route based on mobile sink tree. But, it does not reduce the network delay better. To solve this issue, frontward communication area (FCA) based route selection is proposed. The FCA method reduces both the energy consumption and delay in the network since it selects the route by the quality of service parameters. This technique application is mainly used to smart agriculture. The simulation results show that the getting better 38.31% packet received rate and reducing 0.0115 J energy consumption in the network.

Keywords

Agricultural field Mobile sink path strategy Sleep awake scheduling Frontward communication 

Notes

References

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringSathyabama Institute of Science and TechnologyChennaiIndia
  2. 2.Department of Electronics and Communication EngineeringEaswari Engineering CollegeChennaiIndia

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