Paper Info
Title
Efficient Coverage of Agricultural Field with Mobile Sensors by Predicting Solar Power Generation
Abstract
Wireless sensor networks (WSNs) that periodically collect the environmental information such as temperature, humidity, and so on require the coverage of a given target field anytime and the operation lifetime longer than an expected duration by the minimum number of sensor nodes. For these WSNs, we propose a method deciding a schedule of node movement to cover the target agricultural field from plant to harvest by the minimal number of nodes in order to reduce the node deployment cost. The proposed method computes a moving schedule of each mobile sensor node so that all the nodes cover the target field without depleting battery of some of the nodes by predicting solar power generation at each point of the target field where shadow areas change depending on time, orbit of the sun, and height of crops. We conducted computer simulations and compared the performance of the proposed method with a conventional method. As a result, our method achieves 4% reduction of the number of nodes and 10% extension of the operation lifetime compared to the method without estimation of power generation amount.
Year
DOI
Venue
2015
10.1109/AINA.2015.167
AINA
Keywords
Field
DocType
agriculture,energy harvesting,sensors,sensor networks,wireless sensor networks
Sensor node,Key distribution in wireless sensor networks,Telecommunications,Computer science,Energy harvesting,Real-time computing,Solar power,Mobile wireless sensor network,Battery (electricity),Wireless sensor network,Electricity generation,Distributed computing
Conference
ISSN
Citations 
PageRank 
1550-445X
2
0.37
References 
Authors
4
4
Name
Order
Citations
PageRank
Masaru Eto120.37
Ryo Katsuma2205.53
Morihiko Tamai319716.20
Keiichi Yasumoto4670110.78