Abstract
It is well known that the Wireless Sensor Network (WSN) is a part of different fields of modern life (self-managing life). The automation of operating the WSN without any need for human efforts develops the technique used in this network in terms of power consumption, costs, and so on. In this paper, the WSN application that adopts the self-managing property is presented as well as applying this property in a greenhouse as a case study. It uses remote controlling technology for data exchanging in a multi-layer WSN. Different hardware and software equipment have been employed in the application based on self-managing techniques. Such hardware includes (NodeMCU ESP8266) as a microcontroller, Raspberry pi3 as a base station that captures the sensor reading from the node. Additionally, it was utilized two types of sensors (DS18B20, soil moisture) to sense the environmental parameters such as temperature and soil moisture and two actuators (LED1, LED2). The results show the proper performance of the presented WSN in terms of the self-managing side by checking the received data in real-time mode. These results are achieved for the threshold values of 25ᵒC temperature and 500 soil moisture as an upper level for operating the actuators. Index Terms—WSN, MQTT protocol, NodeMCU ESP8266, Raspberry pi3, sensors.
Highlights
Wireless sensor network (WSN) has witnessed a thriving growth of many innovative applications, including smart homes, military, and medical applications, etc. [1]
The sensor node (NodeMCU ESP8266) is connected with the base station (Raspberry pi3) within the local area network, by getting the static IP address of the Message Queue Telemetry Transport protocol (MQTT) server on Raspberry pi3 to send data that have been collected from temperature and moisture sensors
It is important to note that the controlling signals of turning on/off the LEDs is generated by the base station (Raspberry pi) after receiving the readings of related sensors
Summary
Wireless sensor network (WSN) has witnessed a thriving growth of many innovative applications, including smart homes, military, and medical applications, etc. [1]. WSN is a low-cost wireless network composed of thousands of intelligent sensor nodes These sensor nodes are used for sensing physical or environmental factors of the supervised areas. The self-management system is required to automatically monitor and manage the work of the sensor nodes In these systems, each sensor node is self-responsible for sending the data that it senses to the base station, which in turn takes the necessary decision to process the received data and control the network correctly. A self-management system is used to monitor and manage environmental factors, such as temperature and soil moisture for the greenhouse shown in Fig. to get top quality and efficiency of crops [3]. Network to monitoring and managing the environmental parameters like temperature and moisture, section IV gives the obtained results, section V includes a conclusion
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