Pertanika J. Sci. & Technol. 30 (2): 933 - 948 (2022) ISSN: 0128-7680 e-ISSN: 2231-8526 Journal homepage: http://www.pertanika.upm.edu.my/ © Universiti Putra Malaysia Press SCIENCE & TECHNOLOGY Article history: Received: 25 August 2021 Accepted: 03 January 2022 Published: 03 March 2022 ARTICLE INFO DOI: https://doi.org/10.47836/pjst.30.2.05 E-mail addresses: suman.lata@sharda.ac.in (Suman Lata) hk.verma@sharda.ac.in (Harish Kumar Verma) * Corresponding author Selection of Number and Locations of Multi-Sensor Nodes Inside Greenhouse Suman Lata* and Harish Kumar Verma School of Engineering and Technology, Sharda University, Greater Noida, U.P. 201301 India ABSTRACT One of the possible solutions for meeting the rising food demands is to opt for wireless sensor networks (WSN) monitored intelligent greenhouses. Such greenhouses require wireless sensor nodes rather than individual sensors to monitor and control the various parameters responsible for the growth of the plants. The appropriate selection of the number of wireless sensor nodes and their placement is crucial for optimizing the cost of the wireless sensor network by minimizing the number of sensor nodes as well as the measurement error. This paper extends the two techniques, namely, equal step (ES) and equal segment area (ESA) techniques, reported earlier for the selection of the number and locations of sensors to suit multi-sensor nodes inside a greenhouse. It also compares these techniques with the equal-spacing approach. The multi-sensor nodes considered here have temperature and luminosity sensors. Initial locations of the multi-sensor nodes have been fxed on the basis of temperature profle on the premise that temperature is the most important parameter for the growth of the plants. Evaluation of these techniques has been done on the basis of the root of the sum of square errors (RSSE) of the individual parameters. The ESA technique has been found to be better than the ES technique for the assumed temperature and luminosity profles. In the future, this work may be extended to other situations where other than temperature is the most important parameter. The other direction in which the work can be extended may be considering the 2D or even 3D distribution of sensors. Keywords: Intelligent greenhouse, sensor node, sensor, wireless sensor network