Series-1 (Jul. - Aug. 2026)Jul. - Aug. 2026 Issue Statistics
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | Étude De Faisabilité Et Dimensionnement Du Réseau CPL Outdoor Pour La Téléphonie Fixe En Environnement Urbain Africain « Modélisation IEEE 1901 Et Validation Qos |
| Country | : | Congo |
| Authors | : | Igor Mata-Tombo M’bokila || Faustin Bimuala Bamueni || Blaise Lema Nkwalu || Maxime Kialanda Madiengele || Remy Nsimba Nkula || Joachim Mbengi Ngoma || Eric Mata-Tombo Kamisa |
 |
: | 10.9790/2834-2104010111  |
Abstract:Résumé Cet article étudie la faisabilité technique, mathématique et économique du déploiement de la téléphonie fixe sur la boucle locale électrique via la technologie Courant Porteur en Ligne (CPL) Outdoor. Le système proposé exploite le réseau électrique basse tension comme support d’accès dernier kilomètre, interconnecté à une dorsale en fibre optique de type GPON. Une modélisation multi-niveau est proposée intégrant l’accès MAC basé sur IEEE 1901 avec backoff + deferral + priorités, et la théorie de file M/G/1 à priorité stricte. Une expression fermée du.....
[1].
Bianchi G. (2000). Performance Analysis Of The IEEE 802.11 Distributed Coordination Function. In IEEE Journal On Selected Areas In Communications, Vol. 18, N°3, Pp. 535–547.
[2].
Dostert, K. (2001). Powerline Communications. New York, NY : Prentice Hall. USA
[3].
Galli, S., Scaglione, A., & Wang, Z. (2011). “Grid Communications And Networking: Part I – Power Line Communications.” Proceedings Of The IEEE, 99(6), 998–1027. Https://Doi.Org/10.1109/JPROC.2011.2109670
[4].
Golub, G. H., & Van Loan, C. F. (2013). Matrix Computations (4th Ed.). Johns Hopkins University Press.
[5].
IEEE Standard Association (2020). IEEE Std 1901-2020 : IEEE Standard For Broadband Over Power Line Networks : Medium Access Control And Physical Layer Specifications. New York, New York : IEEE
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | Modeling Indoor Visible Light RSS Data For Neural-Based Positioning Systems |
| Country | : | Sudan |
| Authors | : | Doaa Hashim Osman || Prof. Khalid Hammed Bellal || Dr. Zeinab M. Omer Yousif || Afaf Mustafa Elhassan |
|
: | 10.9790/2834-2104011218 |
Abstract: Indoor positioning has become a critical component of smart environments, particularly in healthcare, education, and industrial automation. Visible Light Communication (VLC) offers a promising alternative to RF-based systems due to its high accuracy and immunity to electromagnetic interference [1], [2]. While early surveys established the foundations of VLC positioning [3], subsequent works demonstrated the potential of neural networks.....
Keywords: Indoor positioning, Visible Light Communication (VLC), Received Signal Strength (RSS), Neural networks, CNN-RNN modeling, Localization accuracy, IOT integration
[1]
H. Elgala, R. Mesleh, And H. Haas, “Indoor Optical Wireless Communication: Potential And State-Of-The-Art,” Ieee Communications Magazine, Vol. 49, No. 9, Pp. 56–62, 2011.
[2]
Y. Zhuang, J. Hua, And L. Qi, “A Survey Of Positioning Systems Using Visible Light Communication,” Ieee Communications Surveys & Tutorials, Vol. 20, No. 3, Pp. 1963–1988, 2018.
[3]
S. Rajagopal, R. Roberts, And S. Lim, “Ieee 802.15.7 Visible Light Communication: Modulation Schemes And Dimming Support,” Ieee Communications Magazine, Vol. 50, No. 3, Pp. 72–82, 2012.
[4]
D. Wu, H. Wang, And C. Xu, “Neural Network-Based Indoor Localization Using Visible Light Communication,” Sensors, Vol. 20, No. 6, Pp. 1705–1718, 2020.
[5]
M. Yasir, H. Hoang, And X. N. Fernando, “Indoor Positioning System Using Visible Light And Neural Networks,” Ieee Access, Vol. 7, Pp. 142–151, 2019.
- Citation
- Abstract
- Reference
- Full PDF
| Paper Type | : | Research Paper |
| Title | : | Optimization Of Extreme Learning Machines For Visible Light-Based Indoor Localization Using Sparrow Search Algorithm |
| Country | : | Sudan |
| Authors | : | Doaa Hashim Osman || Prof. Khalid Hammed Bellal || Dr. Zeinab M. Omer Yousif || Afaf Mustafa Elhassan |
|
: | 10.9790/2834-2104011927 |
Abstract: Indoor localization using visible light has emerged as a promising alternative to traditional wireless positioning systems due to its high accuracy and immunity to electromagnetic interference. However, the performance of machine learning models such as the Extreme Learning Machine (ELM) is highly dependent on the initialization of hidden layer weights, which often leads to unstable results and limited accuracy. In this study.....
Keywords: Extreme Learning Machine (ELM), Sparrow Search Algorithm (SSA), Visible Light Communication (VLC), Indoor Localization, Optimization, Mean Squared Error (MSE
[1]
G.-B. Huang, Q.-Y. Zhu, And C.-K. Siew, “Extreme Learning Machine: Theory And Applications,” Neurocomputing, Vol. 70, No. 1–3, Pp. 489–501, Dec. 2006.
[2]
X. Xue And J. Shen, “Sparrow Search Algorithm: A Novel Swarm Intelligence Optimization Approach,” Mathematics, Vol. 8, No. 4, Pp. 1–20, 2020.
[3]
H. Liu, H. Darabi, P. Banerjee, And J. Liu, “Survey Of Wireless Indoor Positioning Techniques And Systems,” Ieee Transactions On Systems, Man, And Cybernetics, Part C (Applications And Reviews), Vol. 37, No. 6, Pp. 1067–1080, Nov. 2007.
[4]
Z. Yang, Z. Zhou, And Y. Liu, “From Rssi To Csi: Indoor Localization Via Channel Response,” Acm Computing Surveys, Vol. 46, No. 2, Pp. 1–32, Nov. 2013.
[5]
S. Haykin, Neural Networks And Learning Machines, 3rd Ed. Upper Saddle River, Nj: Pearson, 2009