Smart city sensing and communication sub-infrastructure

Significant recent research activities and initiatives by local governments to establish resilient smart city infrastructures signal that time is right for smart cities in the near future. For example, sensors deployed within a city could monitor traffic patterns, perform environmental measurements and determine optimum traffic routing, when deployed in areas that have a power infrastructure. In this paper, we conceptualize the deployment of such nodes, which we term Smart Boxes, in a part of the city where there is no existing or currently functional energy and communication infrastructure. We envision our proposed smart boxes incorporating a multi-source energy harvester (e. g., wind/solar). Eliminating the infrastructure requirement allows our smart box to act as an emergency cell phone network in any part of the city, thereby forming an emergency subinfrastructure. To improve scalability, we use a Software Defined Radio (SDR) within the box. The contribution of this paper is to provide an architectural map of the box and a proof-of-concept experimental demonstration of its LTE network capabilities. Our experiments show that the box is capable of serving three cellular users and can be powered from a 50–100 W solar panel and a 50–100 W wind turbine, thereby confirming its feasibility as a Smart City node.

[1]  Elizabeth M. Belding-Royer,et al.  HybridCell: Cellular connectivity on the fringes with demand-driven local cells , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[2]  Mehmet K. Aktas,et al.  Emerging Security Mechanisms for Medical Cyber Physical Systems , 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[3]  Meng Zhu,et al.  Supercapacitor Energy Buffering for Self-Sustainable , Continuous Sensing Systems , 2016 .

[4]  Gaurav Sharma,et al.  UR-SolarCap: An Open Source Intelligent Auto-Wakeup Solar Energy Harvesting System for Supercapacitor-Based Energy Buffering , 2016, IEEE Access.

[5]  Vijay Gadepally,et al.  A Framework for Estimating Driver Decisions Near Intersections , 2014, IEEE Transactions on Intelligent Transportation Systems.

[6]  Charles F. Parker,et al.  Preventable Catastrophe? The Hurricane Katrina Disaster Revisited , 2009 .

[7]  Maria E. Niessen,et al.  Citizen noise pollution monitoring , 2009, D.GO.

[8]  Burak Kantarci,et al.  Large-Scale Distributed Dedicated- and Non-Dedicated Smart City Sensing Systems , 2017, IEEE Sensors Journal.

[9]  A R Al-Ali,et al.  A Mobile GPRS-Sensors Array for Air Pollution Monitoring , 2010, IEEE Sensors Journal.

[10]  Marimuthu Palaniswami,et al.  An Information Framework for Creating a Smart City Through Internet of Things , 2014, IEEE Internet of Things Journal.

[11]  Gaurav Sharma,et al.  Hybrid Solar-Wind Energy Harvesting for Embedded Applications: Supercapacitor-Based System Architectures and Design Tradeoffs , 2017, IEEE Circuits and Systems Magazine.

[12]  Gaurav Sharma,et al.  Energy Harvesting and Buffering for Cyber-Physical Systems: A Review , 2015 .

[13]  Christian Bonnet,et al.  OpenAirInterface: A Flexible Platform for 5G Research , 2014, CCRV.