A schedule-based algorithm for low energy consumption in smart agriculture precision and monitoring system

Abstract

t: The worldwide connectivity design of embedded wireless sensor-based Internet of Things (IoT) using the 6LoWPAN platform has significantly increased in the industry. However, the development of smart technology in agriculture precision for remote control, monitoring and sensing usually encounter some challenges. These include high power consumption, interoperability, security, and end-to-end communication. In this paper, we developed a smart agriculture precision and monitoring system using schedule-based algorithm techniques to accomplish low energy consumption during the system operations. The Wi-Fi technology (ESP8266) was used as an IoT gateway, ATMega 2560 development chip, with other wireless sensor nodes (such as soil pH meter, soil moisture, and DHT 11 for temperature and humidity). The experimental system simulation results in Cooja Contiki showed the level at which packet generation, packet loss and throughput decline due to large data packet transmission during end-to-end communication. Also, the laboratory experimentation results of the proposed schedule algorithm implementation showed that more than 58% of energy was saved within 600 seconds of packet transmission from the user end to the cloud database.