Investigation and Implementation Ultra-Low Power PIC-Based Sensor Node Network with Renewable Energy Source and Decision-Making Unit
- 1 Electronics and Computer Engineering, Institute of Natural Science, Hasan Kalyoncu University, Gaziantep, Turkey
- 2 Computer Engineering, Hasan Kalyoncu University, Gaziantep, Turkey
- 3 Computer Engineering, Hasan Kalyoncu University, Gaziantep, Turkey
Abstract
Advancing technology has enabled the production of smaller, more energy efficient and cheaper electronic components. Therefore, previously existing many computer and electronics science-engineering ideas have become feasible. One of them is the technology of wireless sensor networks (WSNs), which has become the realization of the necessary technical requirements applicable today with low energy consumption. First, the sensing tasks and the potential sensor networks applications have explored, and reviews of factors influencing the design of sensor networks have provided. Then, the communication architectures for sensor networks have been outlined. PIC-based microcontrollers have used in the design of the sensor nodes. The design of the sensor node has supported with ultra-low power nanowatt technology for very low-cost design. Processing, memory and wireless communication units have integrated on to the sensor nodes and sensors to be used in the designed system which have allowed to be connected to any kind of sensor node. The designed sensor node’s operating system has written with the PIC C language, and PIC operating system has allowed different features such as measuring humidity, temperature, light sensitive and smoke sensor. Computer software has developed for data that can be recorded and monitored from a central location. Decision-making unit has created in the software algorithm and hardware modules for the implementation of decisions taken by the developed sensor nodes. Developed PIC-based sensor nodes have supported a unique voltage unit with renewable energy sources such as solar panel, rechargeable battery, and supercapacitor for energy production and saving. The results of this study are expected to be helpful for the development of WSN especially with renewable energy sources.
- Zheng, J. and Jamalipour, A. (2009) Wireless Sensor Networks: A Networking Perspective. IEEE Press, New Jersey, 20-21.
- Valada, A., Kohanbash, D. and Kantor, G. (2010) Design and Development of Wireless Sensor Network System for Precision Agriculture. Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, 19.
- Voigt, T., Ritter, H. and Schiller, J. (2004) Utilizing Solar Power in Wireless Sensor Networks. Freie Universitat Berlin, Germany, Institut für Informatik, 1-9.
- Martino, M. and Varley, J. (2012) A Wireless Sensor Node Powered by a PV/Supercapacitor/Battery Trio, The Edward S. Rogers Sr., Department of Electrical and Computer Engineering, University of Toronto, ECE496Y Design Project Course 3-89.
- Soylu, T. (2011) Wireless Sensor Networks Applications and Design of Sensor Node. Master Thesis, Trakya University, Institute of Science, Edirne, 144.
- Ozcan, O. (2011) PIC Based Sensor for Wireless Sensor Network Node Design. Master Thesis, Selcuk University, Institute of Science, Konya, 29.
- Shaker, M. and Imran, A. (2013) Greenhouse Micro Climate Monitoring Based on WSN with Smart Irrigation Technique. World Academy of Science, Engineering and Technology International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, 7.
- MICROCHIP Technology Inc. (2007) PIC16F882/883/884/886/887 Data Sheet, 28/40/44-Pin, Enhanced Flash-Based 8-Bit CMOS Microcontrollers with Nanowatt, 4.
- SHENZHEN EONE Electronics Company Ltd. (2009) 1602A-1 LCD Module Specification Ver1.0, 2.
- Johnson, M., Healy, M., Ven, P., Hayes, M.J., Nelson, J., Newe T. and Lewis, E. (2009) A Comparative Review of Wireless Sensor Network Mote Technologies. 2009 IEEE SENSORS, 25-28 October 2009, Christchurch, New Zealand, 1440. https://doi.org/10.1109/ICSENS.2009.5398442
- Beutel, J. (2006) Metrics for Sensor Network Platforms. Proceedings of ACM Workshop on Real-World Wireless Sensor Networks (REALWSN’06), New York, 26-30.
- DHT11 Humidity & Temperature Sensor (2010) DHT11 Temperature & Humidity Sensor Features a Temperature & Humidity Sensor Complex with a Calibrated Digital Signal Output, D-Robotics UK, 1-3. http://www.droboticsonline.com
- Texas Instruments (2016) LM35 Precision Centigrade Temperature Sensors, SNIS159G-AUGUST 1999-REVISED, 1.