Date Approved

9-30-2024

Embargo Period

9-30-2024

Document Type

Thesis

Degree Name

Master of Science (M.S.)

Department

Electrical and Computer Engineering

College

Henry M. Rowan College of Engineering

Advisor

John Schmalzel, Ph.D.

Committee Member 1

Dwaipayan Chakraborty, Ph.D.

Committee Member 2

Cheng Zhu, Ph.D.

Keywords

Energy Harvesting; IoT; Sensor; WSNs

Subject(s)

Internet of things; Roads

Disciplines

Electrical and Computer Engineering | Engineering | Transportation Engineering

Abstract

The evolution of Smart Highway and Internet of Things (IoT) technologies offers new opportunities to improve the safety and efficiency of vehicular traffic on roads. This research effort describes the development of a wireless pavement sensor that provides a novel method to detect key pavement parameters while incorporating low-power energy harvesting that leverages the kinetic energy generated by vehicular traffic. The Above Pavement Wireless Sensor Node (APWSN) is the embodiment of the approach. APWSN can facilitate the strategic deployment of sensors on a wide variety of roads to enable real-time data collection to support decision-making processes for road infrastructure maintenance and safety. The work addresses the technical hurdles associated with the design of energy-efficient wireless nodes and demonstrates integration with cloud-based platforms to provide sensor data that provides data-driven insight into road conditions. The results contribute to the advancement of IoT devices and to the expansion of roadway monitoring systems, which can contribute to optimizing the maintenance and safety of the nation’s infrastructure.

Download

Share

COinS