Development and Characterization of a Solarbased Energy Harvesting and Power Management System for a WSN Node Applied to Optimized Goods Transport and Storage

This paper describes a harvesting and power management system that can be equipped with a Wireless Sensor Network (WSN) node in order to harvest energy presents in the environment to be used for sensor node power supply. The proposed scope is to develop a harvesting board exploiting available integrated circuits and devices for extending battery life-cycle of sensor node developed by Medinok SPA. The aim is to realize a WSN able to perform a monitoring of principal physical parameters deemed of interest in a facility, as automatic as possible, for the storage and handling of goods, applied for example to a commercial seaport, where stored containers need to be continuously monitored. Battery life-time is a main problem especially in networks where sensor nodes are not easily accessible. For this reason, sensor nodes are commonly equipped with power management devices able to supply power in an intelligent way from the harvester when harvestable energy is available or from backup batteries ensuring, under every operating conditions, the correct functioning of the sensor node. In this work, a solar-based harvesting system, based on LTC3330 IC, was designed and tested on Medinote sensor node but usable for any device requiring to be fed.

[1]  Paolo Visconti,et al.  HARDWARE AND SOFTWARE SOLUTION DEVELOPED IN ARM MBED ENVIRONMENT FOR DRIVING AND CONTROLLING DC BRUSHLESS MOTORS BASED ON ST X-NUCLEO DEVELOPMENT BOARDS , 2016 .

[2]  K. Baskaran,et al.  A Comprehensive Review On The Impact Of Compressed Sensing In Wireless Sensor Networks , 2016 .

[3]  Giuseppe Anastasi,et al.  Extending the Lifetime of Wireless Sensor Networks Through Adaptive Sleep , 2009, IEEE Transactions on Industrial Informatics.

[4]  Paolo Fiorini,et al.  Energy autonomous systems : future trends in devices, technology, and systems , 2009 .

[5]  C. Van Hoof,et al.  Micropower energy harvesting , 2009, ESSDERC 2009.

[6]  Wei Li,et al.  Harvesting Ambient Environmental Energy for Wireless Sensor Networks: A Survey , 2014, J. Sensors.

[7]  Sherali Zeadally,et al.  Enabling Cyber Physical Systems with Wireless Sensor Networking Technologies , 2012, Int. J. Distributed Sens. Networks.

[8]  S. Radha,et al.  A COMPREHENSIVE ANALYSIS ON SIZING OF SOLAR ENERGY HARVESTER ELEMENTS FOR WIRELESS SENSOR MOTES , 2015 .

[9]  Yuan-Ming Wang,et al.  Experimental Evaluation of ZigBee-Based Wireless Networks in Indoor Environments , 2013 .

[10]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[11]  Peter Friess,et al.  Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems , 2013 .

[12]  John Seely Brown,et al.  The Origins of Ubiquitous Computing Research at PARC in the Late 1980s , 1999, IBM Syst. J..

[13]  Kuei-Hsiang Chao,et al.  A Maximum Power Point Tracker with Automatic Step Size Tuning Scheme for Photovoltaic Systems , 2012 .

[14]  J. M. Gilbert,et al.  Comparison of energy harvesting systems for wireless sensor networks , 2008, Int. J. Autom. Comput..

[15]  Jiannong Cao,et al.  An ADAPTIVE TRAFFIC LIGHT CONTROL SCHEME AND ITS IMPLEMENTATIONIN WSN-BASED ITS , 2013 .

[16]  Aime Lay-Ekuakille,et al.  WIRELESS ENERGY MONITORING SYSTEM OF PHOTOVOLTAIC PLANTS WITH SMART ANTI-THEFT SOLUTION INTEGRATED WITH CONTROL UNIT OF HOUSEHOLD ELECTRICAL CONSUMPTION , 2016 .