The current smart computing depends on the ubiquitous sensing capabilities of Wireless Sensor Networks (WSNs) that significantly influence many applications in modern living. The Internet of Things (IoT) paradigm is a promising paradigm that connects billions of heterogeneous objects through the Internet and plays a vital role in building a smart world. It creates a high impact on the quality of human lives in many aspects, which provides seamless integration of information and communication technologies.
The enabling technologies of IoT are WSN, RFID, and emerging communication and information technologies. Ubiquitous sensing can infer and measure the surroundings through the embedded devices in the environment. This ubiquitous sensing results in many applications of the next generation that produce a large volume of data that need seamless integration, presentation, storage, and efficient processing.
The next revolution of Internet technology (web3) will seamlessly integrate ubiquitous computing devices (objects) into the future Internet to enable interconnections between objects to make a smart environment. The IoT has to go beyond the traditional mobile computing paradigm by enabling smart objects to realize the full potential of the smart computing environment.
Smart connectivity and context-aware computation are key components of the IoT. Some of the potential applications of IoT are smart transportation, health monitoring, surveillance, infrastructure monitoring, environment monitoring, business, and smart home. S-Logix has put its systematic efforts into realizing the new technology and offers consulting services to move further.
Enabling Technologies for IoT, Communication and Networking Technologies for IoT, Next Generation Wireless Systems for IoT, System Architectures for IoT, Standardization of IoT Systems, Future Internet Design for IoT, Enabling 6G Technology for IoT, Satellite Communication for IoT, Enabling the Sensor Networks for IoT, Machine-type Communication for IoT, Resource-constrained Networks for IoT, Real-time Systems for IoT, Internet of Everything, Internet of Vehicles, Internet of Medical Things, Internet of Electric Vehicles, Internet of Underwater Things, and Industrial Internet of Things.
Service-Oriented Architectures for IoT, Middleware Technologies for IoT, Application Programming Interface for IoT Applications, Distributed Computing Architectures and Algorithms for IoT, Semantic Service Management for IoT, Open Service Platforms for IoT, Context-Aware Computing for IoT, Enabled Business Models for IoT, Artificial Intelligence and Machine Learning for IoT, and Low Power Energy Harvesting for IoT, Edge Computing for IoT, Fog Computing for IoT, Software Defined Networks for IoT, Cybersecurity for IoT Applications, Blockchain Technology for IoT Security, Big Data Management and Data Analytics for IoT.
Design and Evaluation of MAC Protocols for IoT, 6TiSCH Communication Architecture for IoT, Design and Analysis of Routing Protocols for IoT, Scalability and Mobility of Routing Protocols for IoT, Objective Functions and Load Balancing for Routing Protocols in IoT, QoS Management and Energy Efficiency of Routing Protocols in IoT, Routing Attacks and Defense Mechanisms for IoT, Trust and Reputation Mechanisms for Routing Protocols in IoT, Machine Learning Models for Routing Attacks and Defense in IoT, and IoT Privacy Preservation in Routing Protocols.
Application Layer Protocols for IoT, CoAP Protocol for IoT Applications, Design and Analysis Congestion Control Mechanisms for CoAP, Security Mechanisms and DTLS Security for CoAP, Lightweight Cryptography and Authentication for CoAP, Design and Analysis of MQTT Protocol, and Security Mechanisms and Lightweight Cryptography for MQTT.
IoT Security and Integrity, Authentication and Authorization for IoT Networks, Access Control Mechanisms for IoT, Lightweight Cryptography and Intrusion Detection for IoT, Trust Management Systems for IoT, Privacy Preservation for IoT.
Smart Applications for IoT, IoT Smart Home, IoT Smart City, IoT Smart Building, IoT Smart Grid, Phasor Measurement Units (PMU) and the Advanced Metering Infrastructure (AMI) for IoT, IoT Smart Environment, IoT Smart Transportation, IoT Smart Agriculture, IoT Smart Healthcare, IoT Smart Manufacturing.
Machine Learning for IoT, Federated learning for IoT, Deep Learning for IoT, Deep Reinforcement Learning for IoT, Machine Learning Models for Attack and Intrusion Detection, Privacy-Preserving Machine learning for IoT, Collaborative and Federated Analytics in IoT, AI for Quality-of-Service (QoS) Management in IoT.
