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 2025 will be published in IEEE proceedings ( IEEE explorer)
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Track 1: WSN Applications and Computing
Wireless Sensor Networks
Applications of Mobile Ad hoc Networks (MANETs)
Hybrid Networks
Applications of IoT through Sensors
Smart Homes and Smart Grid technology
Wearable computing
Cloud Computing through Sensors
Renewable power resources for wireless devices
Vehicle tracking system
Location and Context Aware Computing
Smart Surveillance
Device to Device Communications
Computing in Hand held devices
Communicating Infrastructure in WSN
Data management in Wireless Sensor Networks
Applications of Neural Networks and Fuzzy Logic in WSN
Energy efficient Protocols /Algorithms
4G / 5G Experimental Results and Deployment Scenarios
Data Mining Techniques in Wireless Sensor Networks
Role of Sensor Networks in Edge Computing
Machine Learning in WSNs
Deep Learning in WSNs
Sensors and IoT
Sensors and Cloud Computing
Track 2 : Security Issues in Developing Algorithms/ Protocols
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 in Digital Image Processing
4G/5G Security and Private Issues
Security Issues in Cloud Computing/Big data