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Deanship of Graduate Studies
Document Details
Document Type
:
Thesis
Document Title
:
INTELLIGENT ROUTING ALGORITHM FOR DEVICE-TO-DEVICE COMMUNICATION IN THE INTERNET OF THINGS USING BIO INSPIRED ALGORITHM
خوارزمية التوجيه الذكي لاتصال جهاز لجهاز في انترنت الاشياء باستخدام الخوارزمية المستوحاة من الاحياء
Subject
:
Faculty of Computing and Information Technology
Document Language
:
Arabic
Abstract
:
Device-to-device communication (D2D) is a popular research trend that presents ubiquitous information exchange on the Internet of Things (IoT). D2D communication provides data exchange without transiting to a base station using direct communication between two devices. However, these devices have restricted resource specifications such as battery life, memory size. Moreover, devices can be connected with each other through different wireless networks. Thus, the successful delivery of data to the receiver in such environment is needed. In this paper, we suggest a Bee-Inspired Routing Algorithm (BIRA) for D2D communication in IoT exploits the multiple interfaces of a “thing” in IoT having different wireless standards. BIRA is an intelligent on-demand routing algorithm that simulates the bee’s foraging behavior model to find optimal path between source and destination for multi-hop communication. The performance of BIRA is assessed through extensive simulations that conclude BIRA realizes better packet delivery ratio as well as performs lower average end-to-end delay in different traffic load compared to the conventional Ad Hoc on Demand Distance Vector (AODV) protocol. Also, BIRA achieves the least energy consumption than AODV and increases network lifetime.
Supervisor
:
Dr. Mohammed Munawar
Thesis Type
:
Master Thesis
Publishing Year
:
1441 AH
2020 AD
Added Date
:
Wednesday, March 11, 2020
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
أسماء محمد المزمومي
Almazmoomi, Asmaa Mohammed
Researcher
Master
Files
File Name
Type
Description
46051.pdf
pdf
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