Occupancy-Aware Power Saving for Smart Parking IoT Sensors

IoT sensors in smart parking, according to their sleep duration, wake up automatically and make the sensing to determine parking spot status (vacant/occupied). These periodic awakenings, if they are necessary and useful when the parking spot is vacant, they are much less when it is occupied. Here we propose a new algorithm based on occupancy-aware concept to adopt an opportunistic sleep duration. When the spot is vacant, the sensor will wake up according to the conventional sleep duration. However, once the parking place is detected occupied, the sensor will not wake up according to this time but according to another time greater than the previous sleep time duration. The first results obtained by our approach are promising. Thanks to our new occupancy-aware algorithm, the battery lifetime of IoT parking sensors is more than tripled when the occupancy rate is important.

[1]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[2]  Usman Raza,et al.  How Agile is the Adaptive Data Rate Mechanism of LoRaWAN? , 2018, 2018 IEEE Global Communications Conference (GLOBECOM).

[3]  Jordi Sabater-Mir,et al.  Software management of power consumption in WSN based on duty cycle algorithms , 2013, Eurocon 2013.

[4]  Luigi Patrono,et al.  Smart Parking Sensor Performance Evaluation , 2019, 2019 International Conference on Software, Telecommunications and Computer Networks (SoftCOM).

[5]  Sunita Gupta,et al.  Comparative Analysis of Energy Consumption in Sensor Node Scheduling Heuristics in Wireless Sensor Network , 2019 .

[6]  Manel Gasulla,et al.  Powering wireless sensor nodes: Primary batteries versus energy harvesting , 2009, 2009 IEEE Instrumentation and Measurement Technology Conference.

[7]  V. Anandi,et al.  Low Power Design for Integrated Systems , 2012 .

[8]  Vanessa Quintero,et al.  Sleep Time Adjustment through Performance Indicators of a Lithium-Ion Battery , 2019, 2019 Prognostics and System Health Management Conference (PHM-Paris).

[9]  Hicham Medromi,et al.  Development of a demonstrator «smart-parking» , 2018, 2018 19th IEEE Mediterranean Electrotechnical Conference (MELECON).

[10]  Stephen Brown,et al.  A Comparative Survey of LPWA Networking , 2018, ArXiv.

[11]  Christian Piguet,et al.  Low-power CMOS circuits - technology, logic design and CAD tools , 2005 .

[12]  L. Benini,et al.  Context-Adaptive Multimodal Wireless Sensor Network for Energy-Efficient Gas Monitoring , 2013, IEEE Sensors Journal.