Sunday 28th of April 2024
 

Design and Implementing of IoT Based Container Operating Management System


Lamiaa Fattouh Ibrahim, Maysoon F. Abulkhair, Wafaa Shalash, Abrar Alnaji, Fatimah Aldauiji, Nouf Aqeeli, Nuha Alamer, Nuha Alghamdi and Shahad Battar

This era would be addressed as the Internet of things (IoT) era where millions of devices, sensors, vehicles and humans are connected and reacted together. Using IoT in supply chain management and logistics could be considered as one of the promising IoT applications as it can optimize both cost and operating time. This work proposed a frame work for tracking containers using physical devices as GPS tracker, GSM modem and Internet as connection media to optimize its journey cost and time. The original studied shows that manual system of tracking containers caused many problems such as absence of integrity and efficiency. In case of using the manual data filing system many problems arise such as unfinished ordering request, false requests, vague locations, difficulty in choosing efficient distribution process and assigning tasks to drivers. Also, the wasted time due to checking availability of containers, lost driver looking for the delivery location, delayed updates about container status (available, must empty), unknown container location. This paper proposes a solution that based on IoT to connect and control remotely all the objects involves in container tracking such as GPS tracker, GSM modem with an aid of mobile base application to issues orders in an optimized manner, saving both time and cost. The current work uses a clustering technique to improve distributing and managing construction dumping containers. Automating the process of distributing and monitoring the containers using IoT based solution have many pros such as saving companies monetary resources, saving employees time, serving customers better.

Keywords: IoT, logistic management, Clustering Techniques; Mobile Platform; PAM; Google Map; GPS tracker. GPS modem

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ABOUT THE AUTHORS

Lamiaa Fattouh Ibrahim
Lamiaa Fattouh Ibrahim is a Faculty Member in the Faculty of Computing and Information Technology at King Abdulaziz University in Jeddah and in the Institute of Statistical Studies and Research at Cairo University. She obtained a PhD from the Faculty of Engineering, Cairo University in 1999, a Masters degree from the Computer and Systems Engineering Department in the Faculty of Engineering, Ain Shams University in 1993, a Masters degree from the Ecole National Superieur de Telecommunication, ENST Paris in 1987, and a BSc from the Computer and Automatic Control Department, Faculty of Engineering, Ain Shams University in 1984. She has over 34 years of experience in the fields of network engineering and artificial intelligence, focusing on applying knowledge base and data mining techniques in wired and wireless network planning. She has published papers in many journals and international conferences in the areas of networks, data mining, and wired and mobile network planning.

Maysoon F. Abulkhair
Maysoon Abulkhair is the vice dean of the Faculty of Computing and Information Technology at King Abdulaziz University in Jeddah. She has participated in several collaborative studies with highly cited researchers from Southampton University (UK) and KAIST (Korea). Her main area of interest is HCI, and she is interested in associating HCI with different disciplines to facilitate the user interaction. These disciplines concern in such as artificial intelligence, machine learning, data mining, and simulation and modeling.

Wafaa Shalash
Wafaa M. Shalash is a Faculty Member in the Faculty of Computing and Information Technology at King Abdulaziz University in Jeddah and in the Computer Science Department, Faculty of Computers and Information Systems, Benha University, Egypt. She obtained a Ph.D. from Communication department, Faculty of Engineering, Mansoura University in 2006, and also her Master degree from it in 2000.She obtained BSc from the Electronics Department, Facultyof Engineering, Mansoura University in 1997. She has over 20 years of experience in the fields of image processing, computer vision, HCI, mobile application design and artificial intelligence, focusing on applying knowledge base and computer vision techniques with mobile applications

Abrar Alnaji
KAU Student

Fatimah Aldauiji
KAU Student

Nouf Aqeeli
KAU Student

Nuha Alamer
KAU Student

Nuha Alghamdi
KAU Student

Shahad Battar
KAU Student


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