Design, implementation and optimisation of an energy harvesting system for vehicular ad hoc networks' road side units

Vehicular ad hoc network (VANET) research has spanned a wide variety of topics in recent years. This study deals with a subject rarely discussed in the literatures, the design procedure of a road side unit (RSU) armed with solar energy-harvesting circuit and its power management module. Embedded UBICOM IP2022 platform was adopted to implement the intended RSU. A complete design steps of the electronic circuit were described and the necessary values of the system component, that is, solar cell panels, battery cells and the DC-DC converter was tuned to suite the design goals. In order to decrease the power consumption of the suggested RSU and to extend the lifetime of the batteries, a power management module based on an artificial neural network and green scheduler was suggested. This scheduler is located in the control centre and composed of three algorithms in order of execution: the prediction, ON/OFF and evaluation algorithms. The adoption of the green scheduler reduces the power consumption of the nodes, which extends the battery life and decreases the number of the required battery cells.

[1]  Tajana Simunic,et al.  A scheduling algorithm for consistent monitoring results with solar powered high-performance wireless embedded systems , 2011, IEEE/ACM International Symposium on Low Power Electronics and Design.

[2]  Yu Wang,et al.  Routing in vehicular ad hoc networks: A survey , 2007, IEEE Vehicular Technology Magazine.

[3]  M. Auguin,et al.  An efficient state of charge prediction model for solar harvesting WSN platforms , 2012, 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP).

[4]  Gil Zussman,et al.  Networking Low-Power Energy Harvesting Devices: Measurements and Algorithms , 2013, IEEE Trans. Mob. Comput..

[5]  José Santa,et al.  On the Design of Efficient Vehicular Applications , 2009, VTC Spring 2009 - IEEE 69th Vehicular Technology Conference.

[6]  Moritz Killat,et al.  Analysis and design of effective and low-overhead transmission power control for VANETs , 2008, VANET '08.

[7]  Joseph A. Paradiso,et al.  Energy scavenging for mobile and wireless electronics , 2005, IEEE Pervasive Computing.

[8]  S. Roundy Energy Scavenging for Wireless Sensor Nodes with a Focus on Vibration-to-Electricity Conversion , 2003 .

[9]  Sanjib Kumar Panda,et al.  Energy Harvesting From Hybrid Indoor Ambient Light and Thermal Energy Sources for Enhanced Performance of Wireless Sensor Nodes , 2011, IEEE Transactions on Industrial Electronics.

[10]  Richard G. Wiley A Direct Time-Domain Measure of Frequency Stability: The Modified Allan Variance , 1977, IEEE Transactions on Instrumentation and Measurement.

[11]  Jing Zhao,et al.  On scheduling vehicle-roadside data access , 2007, VANET '07.

[12]  Jing Zhao,et al.  Extending drive-thru data access by vehicle-to-vehicle relay , 2008, VANET '08.

[13]  Hari Balakrishnan,et al.  A measurement study of vehicular internet access using in situ Wi-Fi networks , 2006, MobiCom '06.