ARDC Research Link Australia

ORCID Profile
Orcid icon. 0000-0001-8370-9290

Current Organisations
Technical University of Denmark , University of Doha for Science and Technology , Glasgow Caledonian University , COMSATS Institute of Information Technology , Coventry University , Universiti Malaysia Sabah Sekolah Kejuruteraan dan Teknologi Maklumat

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Publications

Publication

TARS: A Novel Mechanism for Truly Autonomous Resource Selection in LTE-V2V Mode 4

Publisher: MDPI AG

Date: 09-11-2021

DOI: 10.3390/S21227431

Abstract: Effective communication in vehicular networks depends on the scheduling of wireless channel resources. There are two types of channel resource scheduling in Release 14 of the 3GPP, i.e., (1) controlled by eNodeB and (2) a distributed scheduling carried out by every vehicle, known as Autonomous Resource Selection (ARS). The most suitable resource scheduling for vehicle safety applications is the ARS mechanism. ARS includes (a) counter selection (i.e., specifying the number of subsequent transmissions) and (b) resource reselection (specifying the reuse of the same resource after counter expiry). ARS is a decentralized approach for resource selection. Therefore, resource collisions can occur during the initial selection, where multiple vehicles might select the same resource, hence resulting in packet loss. ARS is not adaptive towards vehicle density and employs a uniform random selection probability approach for counter selection and reselection. As a result, it can prevent some vehicles from transmitting in a congested vehicular network. To this end, the paper presents Truly Autonomous Resource Selection (TARS) for vehicular networks. TARS considers resource allocation as a problem of locally detecting the selected resources at neighbor vehicles to avoid resource collisions. The paper also models the behavior of counter selection and resource block reselection on resource collisions using the Discrete Time Markov Chain (DTMC). Observation of the model is used to propose a fair policy of counter selection and resource reselection in ARS. The simulation of the proposed TARS mechanism showed better performance in terms of resource collision probability and the packet delivery ratio when compared with the LTE Mode 4 standard and with a competing approach proposed by Jianhua He et al.

Publication

QoS-aware service provisioning in fog computing

Publisher: Elsevier BV

Date: 09-2020

DOI: 10.1016/J.JNCA.2020.102674

Publication

Formal Verification of the xDAuth Protocol

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Date: 2016

DOI: 10.1109/TIFS.2016.2561909

Publication

A Novel Internet of Things-Centric Framework to Mine Malicious Frequent Patterns

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Date: 2019

DOI: 10.1109/ACCESS.2017.2690456

Publication

A Cross Tenant Access Control (CTAC) Model for Cloud Computing: Formal Specification and Verification

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Date: 06-2017

DOI: 10.1109/TIFS.2016.2646639

Publication

A Deep CNN Ensemble Framework for Efficient DDoS Attack Detection in Software Defined Networks

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Date: 2020

DOI: 10.1109/ACCESS.2020.2976908

Publication

Cognitive Radio Sensor Networks

Publisher: IGI Global

Date: 2014

DOI: 10.4018/978-1-4666-6212-4.CH007

Abstract: This chapter provides a review of design practices in network communication for Cognitive Radio Sensor Networks. The basics of networking and Medium Access Control functionalities with focus on data routing and spectrum usage are discussed. Technical differences manifest in various network layouts, hence the role of various specialized nodes, such as relay, aggregator, or gateway in Cognitive Radio Sensor Networks need analysis. Optimal routing techniques suitable for different topologies are also summarized. Data delivery protocols are categorized under priority-based, energy-efficient, ad hoc routing-based, attribute-based, and location-aware routing. Broadcast, unicast, and detection of silence periods are discussed for network operation with slotted or unslotted time. Efficient spectrum usage finds the most important application here involving use of dynamic, opportunistic, and fixed spectrum usage. Finally, a thorough discussion on the open issues and challenges for Cognitive Radio Sensor Network communication and internetworking in Cognitive Radio Sensor Network-based deployments and methods to address them are provided.

Publication