Authors: Yuan Jiangjun; Wang Jie
Addresses: School of Shangmao, Zhejiang Technical Institute of Economics, 310018, Hangzhou, China ' School of Shangmao, Zhejiang Technical Institute of Economics, 310018, Hangzhou, China
Abstract: 'Intelligent agriculture' is intelligent agriculture expert system. With the development of mobile device and unmanned aerial vehicle technology, modern agricultural producer has been able to use mobile aggregator to collect real-time data in greenhouses. The sensor nodes around all the greenhouses compose a wireless sensor network. And the mobile aggregator is responsible for the data aggregation for intelligent agriculture. In order to reduce the energy consumption of mobile aggregator, we usually can decrease the distance of the mobile aggregator to collect the data around all the greenhouses. By designing an optimal path through all the greenhouses, the energy consumption of the mobile aggregator can be greatly decreased. In this paper, we use genetic algorithm to solve the optimal path problem. With two experiments, we can get some guidelines when use genetic algorithm to solve the optimal path problem.
Keywords: optimal path; intelligence agriculture; genetic algorithm.
International Journal of Computing Science and Mathematics, 2018 Vol.9 No.1, pp.21 - 28
Received: 25 Jul 2016
Accepted: 31 May 2017
Published online: 27 Mar 2018 *