The role of WSN is to combine hundreds or thousands of sensor nodes with limited computing, communicating, memory, and energy resources that are used for wide range of applications. Further, Ubiquitous Computing opens communications over tiny sensor networks that provides huge challenges and opportunities. The country’s economy and societal development has already been established though the sensor monitoring activities since a decade. To deepen and broaden our knowledge on Internet of Things (IoTs) and increasing International needs, more in-depth studies of sensor network activities are required at present. The objective of the conference is to bring together experts from Academic Institutions, Industries, Research Organizations and Professional Engineers for sharing of knowledge, expertise, and experience in emerging trends related to sensor networks and ubiquitous computing.
The conference is structured as follows. Plenary Lectures followed by parallel sessions. The Plenary Lectures will be delivered by eminent personalities of International repute to introduce the theme of the conference. Each parallel session starts with a invited talk in a specific topic followed by the contributed papers. Papers are invited from prospective authors from industries, Academic Institutions, R&D organizations, and Professional Engineers.
ICWSNUCA 2027 will be published in Springer proceedings (SIST Series -Scopus Indexed)
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Track 1: WSN Computing and Applications
Applications of Wireless Sensor Networks
Applications of Mobile Ad hoc Networks (MANETs) and VANETs
Applications of IoT through Sensors
Smart Homes and Smart Grid technology
Wearable computing
Cloud Computing
Renewable power resources for wireless devices
Vehicle tracking system
Location and Context-Aware Computing
Smart Surveillance System
Device-to-Device Communications
Communication Infrastructure in WSN
Data Management in Wireless Sensor Networks
Applications of Neural Networks and Fuzzy Logic in WSN
Energy-efficient Protocols /Algorithms in WSNs
4G / 5G Experimental Results and Deployment Scenarios
Data Mining Techniques in Wireless Sensor Networks
Role of Sensor Networks in Edge Computing
Track 2 : Security Issues in Networks
Security in WSN
Security Issues in MANET
Intruder Detection System
Intrusion Prevention Mechanisms
Cyber Security
Development of QoS Algorithms/Protocols
Optimization Techniques
Encryption and Decryption Algorithms
Security Issues in Implementing IoT
Security Issues in Digital Image Processing
4G/5G Security and Privacy Issues
Security Issues in Cloud Computing/Big Data
Secure Quantum Techniques
Track 3 : Applications of AI
AI-Enabled Applications
ML/DL in Cloud Computing
ML/DL in Edge Computing
ML/DL in Healthcare
ML/DL in Agriculture
ML/DL in Intrusion Detection System
ML/DL in Image Processing
ML/DL in Stock Market
ML/DL in all Practical Applications
Quantum Computing