Main Page
Deanship
The Dean
Dean's Word
Curriculum Vitae
Contact the Dean
Vision and Mission
Organizational Structure
Vice- Deanship
Vice- Dean
KAU Graduate Studies
Research Services & Courses
Research Services Unit
Important Research for Society
Deanship's Services
FAQs
Research
Staff Directory
Files
Favorite Websites
Deanship Access Map
Graduate Studies Awards
Deanship's Staff
Staff Directory
Files
Researches
Contact us
عربي
English
About
Admission
Academic
Research and Innovations
University Life
E-Services
Search
Deanship of Graduate Studies
Document Details
Document Type
:
Thesis
Document Title
:
AN Efficient Energy Aware Routing Mechanism for Wireless Body Area Networks
آلية توجية واعية لطاقة فعالة في الشبكة اللاسلكية لمنطقة الجسم
Subject
:
Faculty of Computing and Information Technology
Document Language
:
Arabic
Abstract
:
The accelerated development of wireless network technology has resulted in the emergence of Wireless Body Area Network (WBAN), which is a technology commonly used in the medical field. WBAN consists of tiny sensor nodes that interconnect with each other and set in the human body to collect and transmit the patient data to the physician, to monitor the patients remotely. These nodes typically have limited battery energy that led to a shortage of network lifetime. Therefore, energy efficiency is considered one of the most demanding challenges in routing design for WBAN. Many proposed routing mechanisms in WBAN did not cover the source node energy and energy harvesting techniques. Therefore, this study proposes an Efficient Energy Aware Routing mechanism (EEAR). This paper constructs a path cost function that considers three parameters: residual energy, number of hops to the sink, and the distance between the nodes. Besides, data aggregation with filtration and hybrid energy harvesting technique are used to extend the network lifetime, reduce the network traffic load, and maintain the source node energy. Extensive simulations using the MATLAB have been performed to evaluate the performance of the proposed mechanism. EEAR is contrasted with the two latest schemes, called PCRP and EERP. The results show significant performance of the EEAR mechanism in terms of network lifetime, residual energy, network stability, and the throughput.
Supervisor
:
Prof. Mohammad Haseeb Zafar
Thesis Type
:
Master Thesis
Publishing Year
:
1443 AH
2022 AD
Co-Supervisor
:
Dr. Afraa Zuhair Attiah
Added Date
:
Wednesday, January 25, 2023
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
وجدان واصل الجغثمي
Aljaghthami, Wejdan Wasel
Researcher
Master
Files
File Name
Type
Description
48909.pdf
pdf
Back To Researches Page