Proposal For 6LoWPAN Wireless Network Protocol-Based Street-Light-As-A-Service (SLaaS) Framework To Power Campus Parking Services

Abstract

A novel IPv6 Over Low Power Wireless Personal Area Network (6LoWPAN) protocol-based Street-Light-As-A-Service (SLaaS) research framework for an integrated cloud-based smart university campus parking platform is being proposed. The Intelligent Connected Street Light infrastructure currently in existence at University Sains Malaysia (USM) is being redesigned. As part of overall parking proposal, approaching object image and video data are being acquired using a range of sensors, including the  passive infrared (PIR) and 3-D Light Detection and Ranging (LIDAR) motion sensors. To acquire and transmit vehicle instrumentation data, ELM327 Onboard Diagnostics 2 (OBD-II) Wi-Fi adapter is being used. For edge computing-based intelligent object detection model processing to synchronize license plate and facial recognition data with USM databases, Nvidia® Jetson Nano is being used. The framework is developed to effect multiple services, including to track and manage university vehicles, to detect and secure pedestrian movement, to trigger lighting commands based on approaching vehicle movement for on-demand parking illumination, to partition digital bounding box perimeter to predict potential vehicle collisions, to detect unregistered and excessive parking time to monitor unattended and illegal vehicles, to enable street-light-located parking-related kiosk services, and consolidate cloud-based human and vehicle data analytics into mobile form-factor dashboards. The proposed design will be evaluated and validated for end-to-end average data propagation rate, data integrity, object-to-human and object-to-vehicle synchronization success rate, electrical power consumption reduction and potential surface attack mitigation and avoidance throughout the network.