Muhammad Khalid

Muhammad Khalid
University of Hull

Doctor of Philosophy (Computer Science)
Lecturer/Assistant Professor

About

43
Publications
10,635
Reads
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503
Citations
Education
October 2017 - September 2020
Northumbria University
Field of study
  • Computer Science

Publications

Publications (43)
Article
Full-text available
In current era, the next generation networks like 5th generation (5G) and 6th generation (6G) networks requires high security, low latency with a high reliable standards and capacity. In these networks, reconfigurable wireless network slicing is considered as one of the key element for 5G and 6G networks. A reconfigurable slicing allows the operato...
Article
Full-text available
The fast increase in adoption and development of Electric Vehicles (EVs) has invited a significant challenge to the existing charging management techniques and infrastructure. It is necessary to efficiently manage a large number of mobile EVs. As compared to fuel and gasoline type vehicles, the EV has a limited driving range and needs to recharge i...
Preprint
Full-text available
Citation: Ahmad, A.; Ullah, Z.; Khalid, M.; Ahmad, N. Toward Efficient Mobile Electric Vehicle Charging under Heterogeneous Battery Switching Technology. Appl. Sci. 2022, 1, 0.
Preprint
Full-text available
In the current era, the next-generation networks like 5th generation (5G) and 6th generation (6G) networks require high security, low latency with a high reliable standards and capacity. In these networks, reconfigurable wireless network slicing is considered as one of the key elements for 5G and 6G networks. A reconfigurable slicing allows the ope...
Preprint
Full-text available
In this paper, to reduce the congestion rate at the city center and increase the quality of experience (QoE) of each user, the framework of long-range autonomous valet parking (LAVP) is presented, where an Electric Autonomous Vehicle (EAV) is deployed in the city, which can pick up, drop off users at their required spots, and then drive to the car...
Article
The emerging challenges in healthcare, especially with the coronavirus (COVID-19) crisis, has changed the way healthcare operates. Countries where the pandemic has hit hard have brought healthcare institutes to the verge of collapsing, where the capabilities of healthcare departments and hospitals are tested over and over. In these challenging circ...
Conference Paper
Full-text available
This paper describes a hazard analysis for an agricultural scenario where a crop is treated by a robot using UV-C light. Although human-robot interactions are not expected, it may be the case that unauthorized people approach the robot while it is operating. These potential human-robot interactions have been identified and modeled as Markov Decisio...
Conference Paper
Full-text available
This paper describes our work to assure safe autonomy in soft fruit production. The first step was hazard analysis, where all the possible hazards in representative scenarios were identified. Following this analysis, a three-layer safety architecture was identified that will minimise the occurrence of the identified hazards. Most of the hazards are...
Article
Full-text available
The Internet of Things (IoT) has come of age, and complex solutions can now be implemented seamlessly within urban governance and management frameworks and processes. For cities, growing rates of car ownership are rendering parking availability a challenge and lowering the quality of life through increased carbon emissions. The development of smart...
Article
Full-text available
In pandemics like Covid-19, the use of autonomy and machine learning technologies are of high importance. The Internet of Things (IoT)-enabled autonomous transportation system (ATS) envisions a fundamental change in the traditional transportation system. It aims to provide intelligent and automated transport of passengers, goods, and services with...
Article
Recently, we see an increasing number of vehicles coming into our lives, which makes finding car parks a difficult task. To overcome this challenge, efficient and advanced parking techniques are required, such as finding the proper parking slot, increasing users' experience, dynamic path planning and congestion avoidance. To this end, this survey p...
Chapter
Full-text available
The healthcare sector has been stretched to its maximum capacity with the outbreak of coronavirus. With a worldwide impact it has highlighted the maximum capabilities and limitations in the existing healthcare facilities worldwide. Such an unprecedented load of healthcare requirements can be supported with Internet of Things (IoT) and cloud service...
Article
Full-text available
Semantic Web is considered as the backbone of web 3.0 and ontologies are an integral part of the Semantic Web. Though an increase of ontologies in different domains is reported due to various benefits which include data heterogeneity, automated information analysis, and reusability, however, finding an appropriate ontology according to user require...
Article
Full-text available
Internet of things have emerged enough due to its applications in a wide range of fields such as governance, industry, health-care, and smart environments (home, smart, cities, and so on). Internet of things-based networks connect smart devices ubiquitously. In such scenario, the role of wireless sensor networks becomes vital in order to enhance th...
Article
In this article, we propose a scheduling based temperature and power-aware heuristic for multi-core systems. Instead of using a fixed value of temperature threshold in load balancing techniques, the proposed heuristic suggests adjusting the value of threshold temperature as a function of the workload. As the workload reduces, the value of the thres...
Conference Paper
Full-text available
Due to recent developments in electric mobility, public charging infrastructure will be essential for modern transportation systems. As the numbers of electric vehicles (EVs) increase, public charging infrastructure needs to adopt efficient charging practices. A key challenge is the assignment of EVs to charging stations in an energy efficient mann...
Article
Despite the recent developments in communication technologies for wireless body area networks (WBAN), the reliability of packet transmission, especially for emergency and critical data transfer remains a significant challenge. This may be that most of the existing techniques in WBAN use single-channel for data transmission with no intelligence. The...
Article
Full-text available
Exploration of underwater resources, oceanographic data collection, tactical surveillance and natural disaster prevention are some of the areas of Underwater Wireless Sensor Network(UWSN) applications. UWSN is different from traditional wireless sensor network. The later uses radio waves for communication between sensors while the former uses acous...
Article
Full-text available
Wireless Body Area Network (WBAN) is an interconnection of small bio-sensor nodes that are deployed in/on different parts of human body. It is used to sense health-related data such as rate of heart beat, blood pressure, blood glucose level, Electro-cardiogram (ECG), Electro-myography (EMG) etc. of human body and pass these readings to real-time he...
Article
Full-text available
The Autonomous Vehicle (AV) is an emerging product of intelligent transportation system. This paper proposes a new parking cost optimization scheme for long-range autonomous valet parking (L-AVP), namely AVPark. The L-AVP selects a drop-off point (as the temporary reference point for people to fetch the AV for travelling purpose) for AV. The user l...
Article
Full-text available
Delay Tolerant Networks (DTNs) are a special type of Intermittently Connected Networks (ICN) featured by variable delay, frequent disruption, asymmetric data rates, and high error rates. DTNs have been primarily developed for InterPlanetary Networks (IPNs), however, it shows applicability to challenged networks. Thus, solutions devised for security...
Article
Full-text available
A Vehicular Adhoc NETworks (VANETs) is an emerged technology, where vehicles communicate with one another and Road Side Units. VANETs is categorized as a sub-branch of Mobile Ad hoc NETworks (MANETs). VANETs help in enhancing traffic efficiency, safety and provide entertainment facility. Dissemination of messages relaying through vehicles communica...
Article
Full-text available
Intelligent Transport System (ITS) is generally deployed to improve road safety, comfort, security, and traffic efficiency. A robust mechanism of authentication and secure communication is required to protect privacy and conditional resolution of pseudonyms to revoke malicious vehicles. In a typical ITS framework, a station can be a vehicle, Road S...
Article
Delay Tolerant Networks (DTNs) are type of Intermittently Connected Networks (ICNs) featured by long delay, intermittent connectivity, asymmetric data rates and high error rates. DTNs have been primarily developed for InterPlanetary Networks (IPNs), however, have shown promising potential in challenged networks i.e. DakNet, ZebraNet, KioskNet and W...
Article
Full-text available
Delay Tolerant Networks (DTNs) are type of Intermittently Connected Networks (ICNs) featured by long delay, intermittent connectivity, asymmetric data rates and high error rates. DTNs have been primarily developed for InterPlanetary Networks (IPNs), however, have shown promising potential in challenged networks i.e. DakNet, ZebraNet, KioskNet and W...
Article
Full-text available
Underwater Wireless Sensor Networks (UWSNs) use acoustic waves to communicate in underwater environment. Acoustic channels have various limitations that can be low bandwidth, a higher end to end delay and path loss at certain nodes. Considering the limitations of UWSNs, energy efficient communication and reliability of network UWSNs has become an i...
Article
Full-text available
Vehicular ad hoc networks (VANETs) are emerged technology where vehicles and roadside units (RSUs) communicate with each other. VANETs can be categorized as a subbranch of mobile ad hoc networks (MANETs). VANETs help to improve traffic efficiency and safety and provide infotainment facility as well. The dissemination of messages must be relayed thr...
Article
Full-text available
Underwater wireless sensor networks are a newly emerging wireless technology in which small size sensors with limited energy and limited memory and bandwidth are deployed in deep sea water and various monitoring operations like tactical surveillance, environmental monitoring, and data collection are performed through these tiny sensors. Underwater...
Article
Full-text available
Underwater Wireless Sensor Network (UWSN) is newly developed branch of Wireless Sensor network (WSN). UWSN is used for exploration of underwater resources, oceanographic data collection, flood or disaster prevention, tactical surveillance system and unmanned underwater vehicles. UWSN uses sensors of small size with a limited energy, memory and allo...
Conference Paper
Full-text available
Underwater Wireless Sensor Network (UWSN) is newly emerged and developed branch of Wireless sensor technology. In UWSN small sensor nodes with limited battery and limited memory are deployed in underwater environment. Due to multiple differences from terrestrial Wireless Sensor Networks (WSN), radio waves cannot be used in underwater communication....
Conference Paper
In recent years, the use of Autonomous Underwater Vehicle (AUV) along a constrained path can improve the data delivery ratio and maximize the energy efficiency in Underwater Wireless Sensor Networks (UWSNs). However, constant speed of AUV leads to limited communication to collect data packet from nodes deployed randomly in large scalable network. M...

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Projects

Projects (3)
Project
The MeSAPro project is a demonstrator project of the Assuring Autonomy International programme. It is investigating how to assure the safety of our autonomous soft fruit picking robots, in other words, how to make certain that our robots do not injure people. The work is being carried out in conjunction with the RASberry programme. MeSAPro will assure autonomy and safe operation through three specific objectives: 1) Defining safety requirements for the sense-understand-decide-act components of a soft-fruit picking robot; 2) Developing methods to detect deviations from safe behaviour and ways to mitigate the effect of such deviations; and 3) Formally verifying sensing, understanding and deciding components of the robots. A partnership between Lloyd’s Register Foundation and the University of York, 2020-2022
Project
Efficient algorithms to mitigate misbehaving nodes in DTNs
Archived project
Rapid progress is being made in the development of Autonomous Vehicles (AVs), which triggers various intelligent use cases bringing comfort, convenience and safety to users on wheels. Autonomous Valet Parking (AVP) is here to answer the urgent call for smarter, greener, and safer mobility. Besides, the development of Information and Communications Technology (ICT) makes it feasible to learn the whole picture of city-wide parking status. In the state-of-the-art, the information, such as available parking spaces, parking fees, opening hours of car parks, and the live traffic, is achievable by the end users and the traffic controlling centre. On the one hand, existing AVP solutions consider either fuel consumption or parking lot availability. These above mentioned solutions failed to take multiple related issues into consideration, such as journey time, parking cost, fuel economy, and uncertainty within car parks. On the other hand, the idea of “Edge Computing” is by placing lightweight cloud-like facility at the proximity of mobile users, and the network edge therefore can serve users with shorter delay, security and lighter communication cost. Therefore, it could be a very promising solution to integrate “Edge Computing” based architecture to AVP systems, concerning the increased attention on Internet of Vehicles (IoV). This project aims to pursue the intelligent AVP system (envisioning for one of cutting-edge 5G killer use cases) with novel edge computing architecture, which is also driven by the application of data science in IoV.