Simulating the effectiveness of an IoT Parcel Alert System for enhancing delivery efficiency and safety during Covid-19

Zainuddin, Ahmad Anwar and Mansor, Hafizah and Badrulhisham, Nurul Iffah and Zulkifli, Nurul Nabilah and Mohd Ridzal, Aisyah Afiqah and Ghazalli, Nasyitah (2023) Simulating the effectiveness of an IoT Parcel Alert System for enhancing delivery efficiency and safety during Covid-19. Malaysian Journal of Science and Advanced Technology, 3 (1). pp. 28-36. E-ISSN 2785-8901

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Abstract

The Internet of Things (IoT) has revolutionized the way devices communicate and interact with one another. Malaysia has witnessed a substantial increase in online purchasing in recent years. The COVID-19 pandemic and the Malaysian government's mobility controlorder (MCO) have contributed to the rise in online sales. This circumstance has resulted in a substantial increase in the number of packages that Malaysian delivery firms must manage, producing issues for both homeowners and delivery services. Unattended parcel delivery, parcel loss, and unsuccessful delivery efforts have become widespread.This paper proposes an IoT-based Parcel Delivery Alert System to address the challenges associated with unattended parcel delivery, parcel loss, and failed delivery attempts. The system comprises a parcel safe box that integrates with IoT sensors, such as weight and load sensors, image sensors, and light sensors. The IoT sensors provide real-time information about the delivery status and alert the recipient once the delivery has been made. The system's efficiency and effectiveness were evaluated using the MARS simulator, demonstrating a significant improvement in parcel delivery performance. This paper presents the design, development, and simulation of an IoT-based Parcel Delivery Alert System that can enhance the delivery experience while minimizing delivery-related problems. The paper describes the design and development of the parcel safe box and the eventual evolution of the system. One can acquire access to the safe box by scanning the tracking number on the package's delivery label using a QR code.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Parcel Delivery Alert System; IoT; Sensors; MARS Simulator
Subjects:	T Technology > T Technology (General) > T173.2 Technological change
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Ts.Dr. Ahmad Anwar Zainuddin
Date Deposited:	06 Apr 2023 10:53
Last Modified:	06 Apr 2023 10:53
URI:	http://irep.iium.edu.my/id/eprint/104307

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