Zagazig University Digital Repository
Home
Thesis & Publications
All Contents
Publications
Thesis
Graduation Projects
Research Area
Research Area Reports
Search by Research Area
Universities Thesis
ACADEMIC Links
ACADEMIC RESEARCH
Zagazig University Authors
Africa Research Statistics
Google Scholar
Research Gate
Researcher ID
CrossRef
Digital Object Architecture for IoT Networks.
Faculty
Engineering
Year:
2022
Type of Publication:
ZU Hosted
Pages:
Authors:
AbdulHamid Ashraf Atiyah AbdalMuttalib
Staff Zu Site
Abstract In Staff Site
Journal:
Intelligent Automation & Soft Computing Tech Science Press (TSP)
Volume:
Keywords :
Digital Object Architecture , , Networks.
Abstract:
The Internet of Things (IoT) is a recent technology, which implies the union of objects, “things”, into a single worldwide network. This promising paradigm faces many design challenges associated with the dramatic increase in the number of end-devices. Device identification is one of these challenges that becomes complicated with the increase of network devices. Despite this, there is still no universally accepted method of identifying things that would satisfy all requirements of the existing IoT devices and applications. In this regard, one of the most important problems is choosing an identification system for all IoT devices connected to the public communication networks. Many unique software and hardware solutions are used as a unique global identifier; however, such solutions have many limitations. This article proposes a novel solution, based on the Digital Object Architecture (DOA), that meets the requirements of identifying devices and applications of the IoT. This work analyzes the benefits of using the DOA as an identification platform in modern telecommunication networks. We propose a model of an identification system based on the architecture of digital objects, which differs from the well-known ones. The proposed model ensures an acceptable quality of service (QoS) in the common architecture of the existing public communication networks. A novel interaction architecture is developed by introducing a Middle Handle Register (MHR) between the global register, i.e., Global Handle Register (GHR), and local register, i.e., Local Handle Register (LHR). The aspects of the network interaction and the compatibility of IoT end-devices with the integrated DOA identifiers in heterogeneous communication networks are presented. The developed model is simulated for a wide-area network with allocated registers, and the results are introduced and discussed.
Author Related Publications
AbdulHamid Ashraf Atiyah AbdalMuttalib, "Multilevel Hierarchical Clustering protocol for wireless sensor networks", The Sixth International Conference on Intelligent Computing and Information Systems (ICICIS 2013), Dec. 14-16, 2013, Cairo, Egypt, 2013
More
AbdulHamid Ashraf Atiyah AbdalMuttalib, "IoT-Based Reusable Medical Suit for Daily Life Use in the Era of COVID-19", Tech Science Press (TSP), 2021
More
AbdulHamid Ashraf Atiyah AbdalMuttalib, "Seamless handover scheme for MEC/SDN-based vehicular networks", MDPI, 2022
More
AbdulHamid Ashraf Atiyah AbdalMuttalib, "Distributed edge computing with blockchain technology to enable ultra-reliable low-latency V2X communications", MDPI, 2022
More
AbdulHamid Ashraf Atiyah AbdalMuttalib, "Drone-based AI/IoT Framework for Monitoring, Tracking and Fighting Pandemics", Tech Science Press (TSP), 2022
More
Department Related Publications
Mohammed Ayesh Muhammad Hanafi, "Compressed sensing for reliable body area propagation with efficient signal reconstruction", IEEE, 2018
More
Saleh Ibrahiem Saied Saleh, "Rate Splitting Multiple Access Scheme for Cognitive Radio Network", The Egyptian International Journal of Engineering Sciences and Technology, 2021
More
Saleh Ibrahiem Saied Saleh, "Performance Evaluation of 5G Modulation Techniques", Springer US, 2021
More
Nabila Alsawy Elsayed Elsawy, "Mode Skipping for Screen Content Coding Based On Neural Network Classifier", Springer, 2021
More
Nabila Alsawy Elsayed Elsawy, "Efficient Coding Unit Classifier for HEVC Screen Content Coding Based on Machine Learning", Springer, 2022
More
جامعة المنصورة
جامعة الاسكندرية
جامعة القاهرة
جامعة سوهاج
جامعة الفيوم
جامعة بنها
جامعة دمياط
جامعة بورسعيد
جامعة حلوان
جامعة السويس
شراقوة
جامعة المنيا
جامعة دمنهور
جامعة المنوفية
جامعة أسوان
جامعة جنوب الوادى
جامعة قناة السويس
جامعة عين شمس
جامعة أسيوط
جامعة كفر الشيخ
جامعة السادات
جامعة طنطا
جامعة بنى سويف