A SCHEDULING-BASED ALGORITHM FOR LOW ENERGY CONSUMPTION IN SMART AGRICULTURE PRECISION MONITORING SYSTEM

The worldwide connectivity design of embedded wireless sensor-based Internet of Things (IoT) using 6LoWPAN platform has significantly increases in industry. However, the development of smart technology in agriculture precision for remote control, monitoring and sensing usually encounter some challenges in the IoT architecture, these include: high power consumption, interoperability, security, and end-to-end communication. In this paper, the authors developed a smart agriculture precision monitoring system using scheduling-based algorithm techniques to accomplished low energy consumption during the system operations. The IEEE 802.11 b/g/n technology (ESP 8266) was used as 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 sensor nodes simulation results in Cooja Contiki show the level at which packet generation, packet loss and throughput decline due to large packet transmission during end-to-end communication. Also, the laboratory experimentation results of the proposed scheduling algorithm implementation show that more than 58% of energy was saved during packet transmission from user end to the cloud database.