Wireless Sensor Network Optimization in Agriculture:Brief Review and Case Study Using 2.4GHz Transceivers

Wei Kitt WONG Saaveethya SIVAKUMAR Filbert H. JUWONO Ing Ming CHEW 

Vol.106 No.10 pp.908-918

Publication Date:2023/10/01

Online ISSN:2188-2355

Print ISSN:0913-5693

Type of Manuscript:Special Section on Artificial Intelligence of Things (AIoT) for Smart Farming



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Internet of things (IoT) has been widely applied in various sectors, including in agricultural sector for crop monitoring. To cover a wide area, the deployment of a wireless sensor network (WSN) is required to transmit data to a single access point. The sensors, however, have a few constraints, including energy consumption and service coverage (range). As a result, it is critical to optimize the configuration of the sensors to obtain the desired performance. With this in mind, the objective of this paper is threefold. First, the state-of-the-art of the WSN-IoT in agricultural sector is presented. subsequently, some of the optimization techniques corresponding to the WSN are discussed along with some areas that need to be considered in the optimization technique. Lastly, to solidy the the entire discussion, a case study of optimizing WSN topology parameters in order to minimize the power consumption of the NRF24L01+transceivers is presented. In particular, Adaptive Differential Evolution (ADE) algorithm with normalization-binarization approach is proposed to encode the adjacency matrix for optimizing the power consumption.



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Online ISSN:2188-2355