Network Experience Scheduling and Routing Approach for Big Data Transmission in the Internet of Things

Download

Network_Experience_Scheduling_and_Routing_Approach_for_Big_Data_Transmission_in_the_Internet_of_Things.pdf

Date

2019-01-01

Author

Al-Turman, Fadi
Mostarda, Leonardo
Ever, Enver
Darwish, Ahmed
Khalil, Naziha Shekh

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

146
views

129
downloads

The recent developments in the Internet of Things related technologies have caused a shift towards smart applications such as smart cities, smart homes, smart education systems, e-health, and online applications to run businesses. These, in turn, have introduced significant additional loads to the existing network infrastructures. In addition, these applications use big data and require relatively short response times. In this paper, we are introducing a new scheduling and routing approach to enhance the end user experience, and utilize the network resources by providing improved transmission speed for the big data applications. The approach considers the source and destination requirements in terms of data size, expected delay, link load, and link capacity. Extensive simulations are performed, and the results obtained show the efficiency of our approach against other competitive approaches in terms of in-network delay, network throughput, and dropped packets.

Subject Keywords

General Engineering, General Materials Science, General Computer Science, Data delivery, Internet of Things (IoT), Wireless networks, Routing, big data

URI

https://hdl.handle.net/11511/68159

Journal

IEEE ACCESS

DOI

https://doi.org/10.1109/access.2019.2893501

Collections

Engineering, Article

Suggestions

OpenMETU
Core

5G in a Convergent Internet of Things Era: An Overview Poncha, Lemayian Joel; Abdelhamid, Sherin; Alturjman, Sinem; Ever, Enver; Al-Turjman, Fadi (2018-05-24) The future of services is expected to heavily rely on "Internet of Things" (IoT) and the ability to create smart spaces such as, smart cities, smart houses, smart transportation, and smart outdoor monitoring (SOM) in the coming few decades. Such smart spaces will require the deployment of significantly large numbers of devices connected to the internet such as sensors, actuators, and wearable computing. It is expected that the number of the connected devices to the internet will exceed 50 billion devices by...
Wireless Communication Aspects in the Internet of Things: An Overview ULUŞAR, ÜMİT DENİZ; Celik, Gurkan; Al-Turjman, Fadi (2017-10-12) Recent advances in technology propelled the development of resource constrained tiny devices and the concept of Internet of Things (IoT). Potential applications spanning various fields of science from environmental to medical have been emerged. Different architectures, routing protocols, performance issues and goals have been suggested. In this work, we review fundamental concepts, recent developments and critical design factors under IoT-specific constraints and objectives such as energy efficiency and env...
Multilevel Object Tracking in Wireless Multimedia Sensor Networks for Surveillance Applications Using Graph-Based Big Data Kucukkececi, Cihan; Yazıcı, Adnan (Institute of Electrical and Electronics Engineers (IEEE), 2019-01-01) Wireless Multimedia Sensor Networks (WMSN), for object tracking, have been used as an emerging technology in different application areas, such as health care, surveillance, and traffic control. In surveillance applications, sensor nodes produce data almost in real-time while tracking the objects in a critical area or monitoring border activities. The generated data is generally treated as big data and stored in NoSQL databases. In this paper, we present a new object tracking approach for surveillance applic...
An Overview of Internet of Things and Wireless Communications ULUŞAR, ÜMİT DENİZ; Al-Turjman, Fadi; Celik, Gurkan (2017-10-08) Innovations in technology that have enabled efficient wireless tiny devices propelled the concept of Internet of Things. It is expected that mobile data traffic will experience 8-fold growth between 2015 and 2020 and the number of mobile connected devices will reach 11.6 billion by 2020. Main factors of this exponential growth and wide acceptance are the integration of several technologies and communications solutions such as wired and wireless sensor and actuator networks, next generation communication pro...
Energy-Aware Data Delivery Framework for Safety-Oriented Mobile IoT Al-Turjman, Fadi (2018-01-01) The proliferation of wireless multimedia sensor networks has given rise to intelligent transportation systems as a mobile data-sharing model. This vision can be extended under the umbrella of the mobile Internet of Things to include versatile resources, such as smartphones, radio frequency identification tags, and sensors on roads that can be utilized in emergency situations. The facilitation of such a vision faces key challenges in terms of interoperability, resource management and energy consumption. In t...

Citation Formats

F. Al-Turman, L. Mostarda, E. Ever, A. Darwish, and N. S. Khalil, “Network Experience Scheduling and Routing Approach for Big Data Transmission in the Internet of Things,” IEEE ACCESS, pp. 14501–14512, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/68159.