Graduation Year

2023

Document Type

Thesis

Degree

M.S.Cp.

Degree Name

MS in Computer Engineering (M.S.C.P.)

Degree Granting Department

Computer Science and Engineering

Major Professor

Robert Karam, Ph.D.

Committee Member

Srinivas Katkoori, Ph.D.

Committee Member

John Templeton, Ph.D.

Keywords

body sensor networks, cyber-physical systems, internet of things, smart cities, wayfinding, wearable technology

Abstract

This research explores the potential of the Internet of Things (IoT) in enhancing urban wayfinding, particularly for the blind and visually impaired (BVI). Utilizing IoT's multi-layered architecture, smart cities deploy integrated sensors and devices to address urban challenges, with wayfinding as a key focus. While various accessible wayfinding methods have been explored, there exists a gap for more efficient solutions. Within this context, a collision warning system was developed for the BVI, integrated within a broader body sensor network (BSN) framework. Building on this, the study presents AWayNet, an RFID-based network, as a transformative solution. Simulations in the CARLA Simulator evaluated AWayNet across varied urban scenarios, revealing a need for only 8 individuals per city block for stable network functionality. When equipped with AWayNet, route completion times improved by 1.2x for well-sighted users and 2.5x for those with blurred vision. This underscores the promise of IoT in fostering inclusive urban planning. Future research will focus on refining AWayNet and expanding simulation environments.

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