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Sensors 2018, 18(2), 555; https://doi.org/10.3390/s18020555

UAV-Assisted Dynamic Clustering of Wireless Sensor Networks for Crop Health Monitoring

1
Lab STICC, ENSTA Bretagne, Brest 29200, France
2
Sensor Networks and Cellular Systems Research Center, University of Tabuk, Tabuk 71491, Saudi Arabia
*
Author to whom correspondence should be addressed.
Received: 11 December 2017 / Revised: 2 February 2018 / Accepted: 5 February 2018 / Published: 11 February 2018
(This article belongs to the Special Issue UAV or Drones for Remote Sensing Applications)
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Abstract

In this study, a crop health monitoring system is developed by using state of the art technologies including wireless sensors and Unmanned Aerial Vehicles (UAVs). Conventionally data is collected from sensor nodes either by fixed base stations or mobile sinks. Mobile sinks are considered a better choice nowadays due to their improved network coverage and energy utilization. Usually, the mobile sink is used in two ways: either it goes for random walk to find the scattered nodes and collect data, or follows a pre-defined path established by the ground network/clusters. Neither of these options is suitable in our scenario due to the factors like dynamic data collection, the strict targeted area required to be scanned, unavailability of a large number of nodes, dynamic path of the UAV, and most importantly, none of these are known in advance. The contribution of this paper is the formation of dynamic runtime clusters of field sensors by considering the above mentioned factors. Furthermore a mechanism (Bayesian classifier) is defined to select best node as cluster head. The proposed system is validated through simulation results, lab and infield experiments using concept devices. The obtained results are encouraging, especially in terms of deployment time, energy, efficiency, throughput and ease of use. View Full-Text
Keywords: dynamic clustering; cluster head selection; IoT for agriculture; UAVs for agriculture dynamic clustering; cluster head selection; IoT for agriculture; UAVs for agriculture
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Uddin, M.A.; Mansour, A.; Jeune, D.L.; Ayaz, M.; Aggoune, E.-H. UAV-Assisted Dynamic Clustering of Wireless Sensor Networks for Crop Health Monitoring. Sensors 2018, 18, 555.

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