Title: Optimise financial cost for smart agriculture based on genetic algorithm

Authors: Xu Gaofeng

Addresses: Hangzhou Vocational & Technical College, Hangzhou 310018, Zhejiang, China

Abstract: Smart agriculture is an emerging application which is largely based on the incoming of the Internet of Things (IoTs). Smart agricultural system contains a lot of components and the lower layer is wireless device network. The time-serials data sensed by wireless sensor nodes is delivered by hop-hop communication which can simplify the framework of the wireless sensor network for smart agriculture, as it no longer needs multiple layers or cluster in the network. And this simple type of wireless sensor network can also work well without the help of expensive mobile devices, which reduces the financial cost. The energy cost generated by the hop-hop delivery can be greatly reduced with the optimisation of the path covering all greenhouses by genetic algorithm, which can largely decrease the investment cost and will further make smart agriculture more suitable for financial investment.

Keywords: financial cost; hop-hop network; smart agriculture; genetic algorithm.

DOI: 10.1504/IJWMC.2020.109272

International Journal of Wireless and Mobile Computing, 2020 Vol.19 No.1, pp.80 - 86

Received: 30 Jan 2020
Accepted: 29 Mar 2020
Published online: 02 Sep 2020 *

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