Scholarly Research Excellence

ICWSN 2021 : 23rd International Conference on Wireless Sensor Networks

Singapore, SG
January 10 - 11, 2021

Conference Code: 21SG01ICWSN

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Digital Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICWSN 2021 has teamed up with the Special Journal Issue on Wireless Sensor Networks. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   November 15, 2020
Notification of Acceptance/Rejection   November 30, 2020
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   December 7, 2020
Conference Dates   January 10 - 11, 2021

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Networks in the Tourism Sector in Brazil: Proposal of a Management Model Applied to Tourism Clusters
Gysele Lima Ricci, Jose Miguel Rodriguez Anton
2) Long Short-Term Memory Based Model for Modeling Nicotine Consumption Using an Electronic Cigarette and Internet of Things Devices
Hamdi Amroun, Yacine Benziani, Mehdi Ammi
3) Comparative Evaluation of Accuracy of Selected Machine Learning Classification Techniques for Diagnosis of Cancer: A Data Mining Approach
Rajvir Kaur, Jeewani Anupama Ginige
4) Relay Node Placement for Connectivity Restoration in Wireless Sensor Networks Using Genetic Algorithms
Hanieh Tarbiat Khosrowshahi, Mojtaba Shakeri
5) A Review on Medical Image Registration Techniques
Shadrack Mambo, Karim Djouani, Yskandar Hamam, Barend van Wyk, Patrick Siarry
6) Collaboration versus Cooperation: Grassroots Activism in Divided Cities and Communication Networks
R. Barbour
7) Presentation of a Mix Algorithm for Estimating the Battery State of Charge Using Kalman Filter and Neural Networks
Amin Sedighfar, M. R. Moniri
8) Crude Oil Price Prediction Using LSTM Networks
Varun Gupta, Ankit Pandey
9) Tools for Analysis and Optimization of Standalone Green Microgrids
William Anderson, Kyle Kobold, Oleg Yakimenko
10) Electricity Price Forecasting: A Comparative Analysis with Shallow-ANN and DNN
Fazıl Gökgöz, Fahrettin Filiz
11) CoP-Networks: Virtual Spaces for New Faculty’s Professional Development in the 21st Higher Education
Eman AbuKhousa, Marwan Z. Bataineh
12) Comparative Analysis of Geographical Routing Protocol in Wireless Sensor Networks
Rahul Malhotra
13) Advanced Hybrid Particle Swarm Optimization for Congestion and Power Loss Reduction in Distribution Networks with High Distributed Generation Penetration through Network Reconfiguration
C. Iraklis, G. Evmiridis, A. Iraklis
14) Research Action Fields at the Nexus of Digital Transformation and Supply Chain Management: Findings from Practitioner Focus Group Workshops
Brandtner Patrick, Staberhofer Franz
15) Investigation of Improved Chaotic Signal Tracking by Echo State Neural Networks and Multilayer Perceptron via Training of Extended Kalman Filter Approach
Farhad Asadi, S. Hossein Sadati

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