VLC Enabled Foglets Assisted Road Asset Reporting Fatima Hussain ⋄, ∗ , Hasan Farahneh ∗ , Xavier Fernando ∗ and Alexander Ferworn ∗ ∗ Ryerson University, Toronto, Canada, ⋄ University of Guelph, Guelph, Canada Abstract—There has been a lot of work on emergency reporting in smart transportation system, but we find very less information about road sides assets reporting and management. Currently available mechanisms do not efficiently handle asset management and any emergency reporting. Asset management is based on either reactive maintenance reported by people or preventative scheduled maintenance. In this article, we present a reporting architecture for emergency situations and, management through Foglets and visible light communication (VLC). Foglet is the processing agent in Fog computing, a computing platform that provide services with improved QoS and reduced latency. VLC use the visible portion of the spectrum and has proved itself to be promising technology in terms of capability, capacity and safety as compared to conventional RF communication. Index Terms–Internet of Things, Foglets, VLC, Smart Vehicle, Road Side Asset Management I. I NTRODUCTION With the recent advancement in research and implemen- tations of Internet of Things (IoT) applications, demand of both data communication and computational capability of devices has increased. IoT supports various services ranging from the content-sharing applications (e.g., advertisements and entertainments) to the information-spreading services (e.g., emergency operations for natural disaster and terrorist attack. Several technological solutions based on WiFi/WIMAX are available to fulfill the demands of higher data rates in this regard. As a result the RF spectrum is getting scarcer by every passing day and there is push for more bandwidth exploration in alternative spectrum bands. Optical wireless communication (OWC) systems are getting noticeable attention from research community and industry, to tackle the RF spectrum limitations. In addition to this, it has numerous potential advantages, in particular, the usage of the freely available visible light spectrum. VLC is a category of OWC and known as green technology. It uses visible light wave length between 375 nm and 780 nm and is a powerful alternative to radio frequency (RF), specially, with the fast growing wireless data demand and the saturation of RF spectrum. Current Intelligent transportation system research activities, products, and standardizations are mainly focused around the deployment of RF based communication technologies for wireless connectivity. However, VLC has recently emerged to become a promising wireless communication technology. It is a suitable candidate to complement conventional RF communication for indoor and outdoor medium and short range data transmission. It uses LEDs for data communica- tions, illumination and localization. VLC has many advantages including low-cost front-ends, energy-efficient transmission, huge (THz) bandwidth, and no electromagnetic interference, beside, its safe for human and has no eye safety constraints like infrared. VLC has potential applications in a number of areas such as smart lighting, indoor localization, vehicles and transportation, underwater communication, and in many other fields. There are many research activities on the theoretical aspects and experimental investigation of VLC for outdoor applications such as: vehicle to vehicle, vehicle to infrastruc- ture, and infrastructure to vehicle. In [1], authors studied the feasibility of a road-to-vehicle communication system using a LED array and a high-speed camera. Authors used hierarchical coding scheme to allocate data to different spatial frequency components depending on their priorities. In [2], an outdoor VLC system for the intelligent transportation system ITS application is investigated, where a direct sequence spread spectrum scheme replaced on-off keying (OOK) and/or pulse position modulation, to minimize the effect of ambient noise. In [3], the channel characterization of a traffic light to vehicle VLC system is studied, and analytical LOS path loss model is proposed. However, in many respects, this technology is in its beginning and requires further research efforts in several areas including channel modeling, physical layer design, and upper layer protocols. High data rates of VLC systems require higher and faster computational devices and systems to provide real time cover- age to large scale IoT applications. Fog computing is the new emerging distributed computing paradigm, which provides variable degrees of storage and computational services to devices at various network levels. Fog computing have several advantages over the traditional cloud computing. It suits applications like video streaming, gaming, AR, etc. Fog computing framework is applied to implement the software defined networks concept for vehicular networks in [4]. It resolve the issues of connectivity, collisions, and high packet loss rate, by augmenting vehicle -to- vehicle and vehicle-to-infrastructure communications. Fog computing is also used to study adaptive traffic light control for smoothing vehicles’ travel and maximizing the traffic throughout. It help fewer stops and more vehicles will pass through the intersection thus reducing CO2 emissions [5]. II. VLC ENABLED FOGLETS New applications, such as augmented reality (AR) tech- niques, self-driving, smart vehicles and transportation etc.; all