This page has only limited features, please log in for full access.

Mr. Ali Gohar
University of Stavanger

Basic Info


Research Keywords & Expertise

0 Autonomous Vehicles
0 Resource Allocation
0 SDN and NFV
0 SDN(Software Defined Network)
0 Heuristic Algorithms

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

ALI Gohar received a BS in Telecommunication from COMSATS University Islamabad in Pakistan in 2015 and an MS in Computer Science from Kookmin University (KMU) in Seoul, South Korea, in 2019. From March 2017 to August 2019, he was a research assistant at KMU's Network Application Laboratory, headed by Prof. Lee Sanghwan. Since September 2019, he is pursuing a PhD at the Department of Electrical Engineering and Computer Science at the University of Stavanger (UiS), Norway. His current research work focuses on mobile communications technologies under the smart city initiative at UiS to enable the smart city of the future. He is working on applying machine learning for the orchestration and control of the 5G networks and data resources, with different objectives within the smart city applications, such as energy efficiency, quality of service, and economic cost reduction. He is skilled in designing heuristic algorithms and mathematical modeling for resource allocation problems in wired and wireless networks.

Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Review
Published: 06 May 2021 in Sustainability
Reads 0
Downloads 0

A smart city is an urban area that collects data using various electronic methods and sensors. Smart cities rely on Information and Communication Technologies (ICT) and aim to improve the quality of services by managing public resources and focusing on comfort, maintenance, and sustainability. The fifth generation (5G) of wireless mobile communication enables a new kind of communication network to connect everyone and everything. 5G will profoundly impact economies and societies as it will provide the necessary communication infrastructure required by various smart city applications. Intelligent Transporting System (ITS) is one of the many smart city applications that can be realized via 5G technology. The paper aims to discuss the impact and implications of 5G on ITS from various dimensions. Before this, the paper presents an overview of the technological context and the economic benefits of the 5G and how key vertical industries will be affected in a smart city, i.e., energy, healthcare, manufacturing, entertainment, and automotive and public transport. Afterward, 5G for ITS is introduced in more detail.

ACS Style

Ali Gohar; Gianfranco Nencioni. The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System. Sustainability 2021, 13, 5188 .

AMA Style

Ali Gohar, Gianfranco Nencioni. The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System. Sustainability. 2021; 13 (9):5188.

Chicago/Turabian Style

Ali Gohar; Gianfranco Nencioni. 2021. "The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System." Sustainability 13, no. 9: 5188.

Journal article
Published: 30 October 2020 in Applied Sciences
Reads 0
Downloads 0

Dynamic Adaptive Streaming over HTTP (DASH) offers adaptive and dynamic multimedia streaming solutions to heterogeneous end systems. However, it still faces many challenges in determining an appropriate rate adaptation technique to provide the best quality of experience (QoE) to the end systems. Most of the suggested approaches rely on servers or client-side heuristics to improve multimedia streaming QoE. Moreover, using evolving technologies such as Software Defined Networking (SDN) that provide a network overview, combined with Multipath Transmission Control Protocol (MPTCP), can enhance the QoE of streaming multimedia media based on scalable video coding (SVC). Therefore, we enhance our previous work and propose a Dynamic Multi Path Finder (DMPF) scheduler that determines optimal techniques to enhance QoE. DMPF scheduler is a part of the DMPF Scheduler Module (DSM) which runs as an application over the SDN controller. The DMPF scheduler accommodates maximum client requests while providing the basic representation of the media requested. We evaluate our implementation on real network topology and explore how SVC layers should be transferred over network topology. We also test the scheduler for network bandwidth usage. Through extensive simulations, we show clear trade-offs between the number of accommodated requests and the quality of the streaming. We conclude that it is better to schedule the layers of a request into the same path as much as possible than into multiple paths. Furthermore, these result would help service providers optimize their services.

ACS Style

Ali Gohar; Sanghwan Lee. Multipath Dynamic Adaptive Streaming over HTTP Using Scalable Video Coding in Software Defined Networking. Applied Sciences 2020, 10, 7691 .

AMA Style

Ali Gohar, Sanghwan Lee. Multipath Dynamic Adaptive Streaming over HTTP Using Scalable Video Coding in Software Defined Networking. Applied Sciences. 2020; 10 (21):7691.

Chicago/Turabian Style

Ali Gohar; Sanghwan Lee. 2020. "Multipath Dynamic Adaptive Streaming over HTTP Using Scalable Video Coding in Software Defined Networking." Applied Sciences 10, no. 21: 7691.

Journal article
Published: 26 November 2019 in Computer Networks
Reads 0
Downloads 0

Technological, social and economic forces are changing the notion of mobility as culture is exerting strong pressure on demand for a “shared,” “reliable” and “on-demand” economy. In an era of the next mobility revolution, autonomous vehicles (AV) still fail to overcome edge cases that can stop an AV in their tracks. Remote driving has, however, emerged as a practical and promising solution to help AV in edge cases, such as AVs passing through bad weather or near a construction site. Remote driving relies on communication network infrastructure, which presents many challenges, both in terms of latency and performance, in connectivity between road vehicles and the remote driver. In addition, governments are passing laws to test AV technology without a safety driver, which has sparked the need for a remote driver who can take vehicle control if it encounters an edge case. In this paper, we enhance our previous work and present algorithms to select multiple remote drivers under user-defined objectives, to minimize the distance between the vehicle and remoter drivers. To evaluate the performance of the proposed algorithm, we perform extensive simulations both in a simulated environment using synthetic data and in a real environment with real-world data. We compare the performance of our proposed algorithms with baseline algorithms. The results show that the proposed heuristic algorithms perform similar to the optimal baseline line algorithms with much shorter computation time.

ACS Style

Ali Gohar; Sanghwan Lee; Gohar Ali. A cost efficient multi remote driver selection for remote operated vehicles. Computer Networks 2019, 168, 107029 .

AMA Style

Ali Gohar, Sanghwan Lee, Gohar Ali. A cost efficient multi remote driver selection for remote operated vehicles. Computer Networks. 2019; 168 ():107029.

Chicago/Turabian Style

Ali Gohar; Sanghwan Lee; Gohar Ali. 2019. "A cost efficient multi remote driver selection for remote operated vehicles." Computer Networks 168, no. : 107029.

Conference paper
Published: 01 October 2018 in 2018 International Conference on Information and Communication Technology Convergence (ICTC)
Reads 0
Downloads 0

Advances in autonomous or self-driving automobile can revolutionize intelligent transportation. But their safety is widely open to debates as failures are anticipated, because the technology is nascent. In this paper we address this concern by remote driving. A process which brings safety mechanism, allowing autonomous automobiles to be monitored and controlled by a remote driver. Remote driving relies on real-time transfer of data from vehicle to the remote driver by utilizing communication network infrastructure, prone to latency. Under ideal conditions, with the use of multiple remote drivers, many latency related factors between driver and vehicle for safe control can be reduced. However, frequent remote driver change or handover may cause vulnerability due to possible conflict. In this paper, we propose greedy algorithms to select minimum number of remote driver(s) at a minimum distance away from automobile under given distance constraint. This reduces the number of driver hand-overs, thus increasing the reliability of remote operation and safety of automobile. Through extensive simulations, we show that the proposed algorithms perform similar to the optimal exhaustive search algorithm, with much faster computation time.

ACS Style

Ali Gohar; Ali Raza; Sanghwan Lee. A Distributed Remote Driver Selection for Cost Efficient and Safe Driver Handover. 2018 International Conference on Information and Communication Technology Convergence (ICTC) 2018, 801 -804.

AMA Style

Ali Gohar, Ali Raza, Sanghwan Lee. A Distributed Remote Driver Selection for Cost Efficient and Safe Driver Handover. 2018 International Conference on Information and Communication Technology Convergence (ICTC). 2018; ():801-804.

Chicago/Turabian Style

Ali Gohar; Ali Raza; Sanghwan Lee. 2018. "A Distributed Remote Driver Selection for Cost Efficient and Safe Driver Handover." 2018 International Conference on Information and Communication Technology Convergence (ICTC) , no. : 801-804.

Conference paper
Published: 01 January 2018 in 2018 International Conference on Information Networking (ICOIN)
Reads 0
Downloads 0

Present technology supports level three vehicle autonomy dubbed as “eyes off” where a person while driving can take attention off the vehicle for few minutes to text. Level four autonomy in which the driver can sleep while driving is yet a fiction. However, it can be turned into reality by utilizing existing technologies and a concept of remote driver. In remote driving system, a remote driver drives a vehicle utilizing network communications. Selecting limited number of nearby remote drivers, remote operation latency and the number of remote drivers handover can be easily minimized. Both of these factors play crucial role in enhancing the safety of passengers. In this paper, a heuristic remote driver selection algorithm is proposed. In order to test the efficiency of the proposed algorithm, we compare its performance with two baseline algorithms using simulations. The preliminary results show that the proposed heuristic algorithm performs similar to the optimal exhaustive search algorithm.

ACS Style

Ali Gohar; Sanghwan Lee. A fast remote driver selection mechanism for remote-controlled driving systems. 2018 International Conference on Information Networking (ICOIN) 2018, 902 -905.

AMA Style

Ali Gohar, Sanghwan Lee. A fast remote driver selection mechanism for remote-controlled driving systems. 2018 International Conference on Information Networking (ICOIN). 2018; ():902-905.

Chicago/Turabian Style

Ali Gohar; Sanghwan Lee. 2018. "A fast remote driver selection mechanism for remote-controlled driving systems." 2018 International Conference on Information Networking (ICOIN) , no. : 902-905.

Conference paper
Published: 01 October 2017 in 2017 International Conference on Information and Communication Technology Convergence (ICTC)
Reads 0
Downloads 0

In Software Defined Networking (SDN), connections between the controller and the switches are maintained in two ways: out-of-band and in-band. In out-of-band controlling, the control channels are constructed via separate links. However, due to several reasons, sometimes in-band controlling is needed instead of out-of-band controlling. In in-band controlling, the data paths are used for control channels. In this situation, the availability of control channel is crucial for the operation of SDN. In this paper, we focus on improving the availability of in-band control channel under the link failure situations. Basically, we apply MPTCP on the controlling channel for high availability. We consider the situation where the controller is connected to a subset of switches and control channels to other switches are constructed through the data paths. To provide the availability of control channel, the paths from a switch to the set of adjacent switches (i.e. gate switches) to the controller should be disjoint as much as possible. In this situation, the most challenging problem is to select the set of gate switches to connect to the controller. As exhaustive search might be time consuming, we propose two simple heuristic algorithms (Path Length First and Disjoint Path First) to find the set of gate switches which provide high availability. Through simulations, we show that the Path Length First runs much faster than the exhaustive search but shows similar performance as that of the exhaustive search.

ACS Style

Ali Raza; Ali Gohar; Sanghwan Lee. MPTCP based in-band controlling for the software defined networks. 2017 International Conference on Information and Communication Technology Convergence (ICTC) 2017, 163 -167.

AMA Style

Ali Raza, Ali Gohar, Sanghwan Lee. MPTCP based in-band controlling for the software defined networks. 2017 International Conference on Information and Communication Technology Convergence (ICTC). 2017; ():163-167.

Chicago/Turabian Style

Ali Raza; Ali Gohar; Sanghwan Lee. 2017. "MPTCP based in-band controlling for the software defined networks." 2017 International Conference on Information and Communication Technology Convergence (ICTC) , no. : 163-167.