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Mobile Networks and Applications

The Journal of SPECIAL ISSUES on Mobility of Systems, Users, Data and Computing

Publishing model:
Hybrid

Mobile Networks and Applications - Graph Theory-based Routing Algorithms and Protocols for Vehicular Ad Hoc Networks

Many individuals die and are wounded in road accidents daily all over the globe. The primary motive for innovating vehicular ad hoc networks (VANETs) is to transmit road security knowledge among automobiles to avoid fatalities and increase road safety. VANETs are an intriguing technology for enabling vehicle-to-vehicle communication on the road. VANETs have several appealing and distinct characteristics, including typically increased transmission capacity, greater computational capabilities, and some form of predictable mobility. The peculiar functionality and attributes of VANETs constitute considerable operational constraints that must be overcome to operate these networks efficiently. The most difficult problem may be the excessive movement and constant changes in the network's topology. Whenever the vehicles within VANET switch lanes or pace, the topology of the network changes depending on the circumstances of the road and the operators, and they are not normally planned ahead of time. Hence, using graph theory to evaluate VANET dynamic topology is particularly efficient and paves the way for effective solutions for the hurdles mentioned above. 

By modeling VANETs as graphs, graph theory techniques are used to perform more complicated and in-depth analyses of reality. The topological features of a VANET are studied using graph theory, in which the vehicles and associated communication lines are represented as edges and vertices in a graph, accordingly. A new graph-theoretical framework involves the evolving graph capable of capturing the variable function of a dynamic network with predictable motion. The VANET dynamics can be assessed using the fundamental transport network and vehicle data. Hence, regarding VANET as a projected pattern dynamic topology, evolving graph concepts are deployed to construct an effective routing algorithm. Furthermore, an EG-RAODV protocol that relies on VoEG assures the VANET aggregate QoS, as it constructs the most consistent path from source to target. Furthermore, for inter-vehicle interactions, an innovative, coherent routing protocol is known as CRP delivers a stable and accurate route across the source and target. A source node anticipates a reliable way among surrounding nodes centered on link reliability values and graph traversals. This algorithm is intended to work in a congested metropolitan setting and outperforms all other currently used algorithms. 

In conclusion, the graph-based techniques perform well as easily generalized into circumstances that are too complicated to be represented by a rigid optimization method. However, many sophisticated and integrated approaches are still needed for successful implementation. Researchers and practitioners are welcome to contribute innovative solutions for the same. 

The topics of interest for the special issue:

  • New perspectives on vehicular ad hoc networks
  • New frontiers in route optimization in VANETs
  • Applications of the cluster-based algorithm in VANETs
  • Graph-based theory and routing in VANETs: challenges and opportunities. 
  • Reliable and secure routing algorithm and protocols for VANETs
  • Bio-inspired routing algorithm and VANETs: Barriers and solutions
  • Changing the paradigm of VANETs through graph-based routing models
  • Routing algorithm and protocols in VANETs based on SVM
  • Applications and significance of different routing protocols of VANETs
  • Role of evolving graphs in route optimization of VANETs
  • Challenges in the deployment of graph-based routing protocols for VANETs
  • Emerging location-based routing models for VANETs

Tentative Time Line

Submission Deadline (Full-Paper):  30.07.2023

First Review Decision: 30.08.2023

Last Date for Review Manuscripts: 30.09.2023

Final Manuscript: 30.10.2023

Publication: 30.11.2023 (estimate)

Guest Editors: 

DR. RAJKUMAR VERMA
Assistant Researcher Department of Industrial Engineering, Faculty of Engineering, Universidad de Talca, Chile.
Official Mail: rverma@fen.uchile.cl (this opens in a new tab), rajkumarverma@utalca.cl (this opens in a new tab), r.vermautalca@gmail.com (this opens in a new tab),rkver83@2gmail.com (this opens in a new tab), 
  
Loop: https://loop.frontiersin.org/people/601318/publications (this opens in a new tab)
 
Scopus: https://www.scopus.com/authid/detail.uri?authorId=55181932900 (this opens in a new tab)

ORCID: https://orcid.org/0000-0002-4014-1305 (this opens in a new tab)

Google Scholar: https://scholar.google.co.in/citations?view_op=list_works&hl=en&hl=en&user=pZI3kecAAAAJ&sortby=pubdate (this opens in a new tab)

Teaching / Professional Experience: Teaching/Research Experience post Ph.D.: 7 years
➢ Working as Assistant Researcher at the Department of Industrial Engineering, Faculty of  Engineering, Universidad de Talca, Chile, since November 2021- till now
➢ Worked as a Research Associate at the Department of Management Control and Information Systems,  University of Chile, Santiago, Chile, since July 2020- 31 October 2021
➢ Worked as a Postdoctoral Research Fellow at the Department of Management Control and  Information Systems, University of Chile, Santiago, Chile, from July 2017- June 2020
➢ Worked as an Assistant Professor of Mathematics at Delhi Technical Campus (Affiliated to Guru  Gobind Singh Indraprastha University, Delhi), G. Noida, from July 2016- July 2017
➢ Worked as an Assistant Professor of Mathematics at HMR Institute of Technology and Management  (Affiliated to Guru Gobind Singh Indraprastha University, Delhi), Delhi, from August 2014-July 2016
➢ Served as a Research Fellow at the Jaypee Institute of Information Technology (Deemed University),  Noida, from August 2008 - August 2014
➢ Worked as a teaching assistant for B. Tech classes at the Jaypee Institute of Information Technology  (Deemed University), Noida, from August 2009- May 2013
Academic Qualification: Ph. D. in Mathematics from Jaypee Institute of Information Technology, Noida, INDIA, 2014
Thesis Title: Information Measures and Aggregation Operators on Fuzzy / Intuitionistic Fuzzy Sets with Applications in Decision Making
Supervisor: Prof. Bhu Dev SharmaDepartment of Mathematics, Jaypee Institute of Information Technology, A-10,  Sector-62, Noida-201307
Degree Award Date: 30/08/2014M.Sc. (Mathematics) from C.C.S. University, Meerut, INDIA, in 2006 with first division. B.Sc. (PCM) from C.C.S. University, Meerut, INDIA, in 2004 with first division.

Scholarships and Awards: 

  • IEEE CIS Travel Grant for Young Researchers from Developing Countries 2019
  • Fondecyt Postdoctoral Fellowship, CONICYT-Santiago, CHILE from 14 March 2017-30 June 2020 
  • Research Associate Fellowship, the University of Chile from 1 July 2020-31 October 2021 
  • University Postdoctoral Fellowship, University of Talca, CHILE, starting from 1 November 2021 
  • JIIT University Teaching Assistantship from August 2009 to May 2013 
  • National Merit Scholarship from class-IX to M.Sc.

Google Scholar Citations: 

All Since 2017:

Citations 748,656

h-index1715

i10-index2423 

PROF. JUNZO WATADA
Professor Emeritus, Waseda University, Japan.

ORCID: 0000-0002-3322-2086

Google Scholar: https://scholar.google.co.in/citations?hl=en&user=pU-e-HoAAAAJ (this opens in a new tab)   

Official Email: watada@waseda.jp, junzo.watada@utp.edu.my, junzo.watada@gmail.com  (this opens in a new tab) 

University: https://gateway.utp.edu.my/home/Content/e0060-autonomous-junzo  (this opens in a new tab)

Dr. Junzo Watada received the B.Sci. and M.Sci. degrees in electrical engineering from Osaka City University, Japan, and the Ph.D. degree from Osaka Prefecture University, Japan. After retiring from Waseda University, he contributed as a Full Professor with the Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Malaysia, and a Professor Emeritus with Waseda University, Japan. He is a Life Fellow of Bio Medical Fuzzy System Association (BMFSA) and the Japan Society of Fuzzy Theory and Intelligent Informatics. His research interests include big data analytics, soft computing, image processing systems to track human behaviors and understand pictures and videos, knowledge engineering, and management engineering. His research interests includes decision making, and management of technology and engineering as well as fuzzy system methodologies, text and web mining, decision support systems, DNA computing, data analysis. Recently he works actively on models of financial engineering and management engineering. He published more than 600 academic papers published in about 150 journals and about 450 international proceedings, 40 book chapters and books. He is now the president of International Society of Management Engineers (ISME) since 2003. He was the President of Bio-Medical Fuzzy Systems Association (2001-2003) and the Vice President of Japan Society for Fuzzy Theory and Systems for two years (1993-1995). Dr. Watada was a board member of Japan Society for Fuzzy Theory and Systems, serves as an advisory board member for several international and domestic societies and also an editorial board member for international and domestic journals including the principal editor of IMIP, ICIC express letters.

Area of Expertise:

1) Soft Computing

2) Management Engineering

3) Financial Engineering

4) Image Processing

Publication Topics Deep Learning (artificial intelligence), Cloud Computing, Genetic Algorithms, Image Segmentation, Reinforcement Learning, Virtual Machines, Big Data, Boltzmann Machines, Hopfield Neural Nets, Adaptive Signal Processing, Application Program Interfaces, Artificial Bee Colony Algorithm, Computational Complexity, Computer Vision, Convergence of Numerical Methods, Convolutional Neural Nets, Data Analysis, Data Communication, Data Compression, Data Integrity, Data Mining, Decision Theory, Drilling (geotechnical), Fault Tolerance, Feature Extraction 

All Since 2017 :

Citations - 64,072,458

h-index - 3424

i10-index - 14864

DR. BROUMI SAID
Laboratory of Information Processing Faculty of Science, Ben M’Sik, University Hassan II, Casablanca, Morocco.

Official Mail: s.broumi@flbenmsik.ma (this opens in a new tab), broumisaid78@gmail.com (this opens in a new tab),

ORCID: https://orcid.org/0000-0002-1334-5759 (this opens in a new tab)

Google Scholar: https://scholar.google.co.in/citations?hl=en&user=1sfB1r4AAAAJ (this opens in a new tab)

Loop: https://loop.frontiersin.org/people/606343/bio (this opens in a new tab)

Brief Bio: Said Broumi was born in Casablanca, Morocco in 1978, is a PHD of university Hassan II - Casablanca. He received his M.Sc. in Industrial Automatics from Hassan II University Ainchok-Casablanca. His search major field is on neutrosophic graph theory, soft set theory, fuzzy theory, intuitionistic fuzzy theory, neutrosophic theory, neutrosophic soft set theory and neutrosophic decision-making problem, networking. He published over 200 articles.Memberships: -Neutrosophic science International Association, USA.

Publication Topics: Fuzzy Set Theory, Directed Graphs, Graph Theory, Network Theory (graphs), Number Theory, Decision Making, Legged Locomotion, Matrix Algebra, Operations Research, Robot Dynamics, Set Theory, Stability 

AllSince 2017:

Citations - 64,295,315

h-index - 4239

i10-index - 120113

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