Internet of Things (IoT) Research Initiative
Internet of Things (IoT) as defined by the ICT (Information and Communication Technology) as a dynamic global network infrastructure with self configuring capabilities based on standard and inter operable communication protocols where physical and virtual things have identities, physical attributes and virtual personalities use intelligent interface and seamlessly integrated into the information network. IoT is the inter networking of physical devices, vehicles, buildings and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data . In 2013 the Global Standards Initiative on Internet of Things (IoT GSI) defined the IoT as the infrastructure of the information society . The traditional fields of embedded system, wireless sensor networks, control system, automation systems are together interconnected to form the IoT. That means the internet of things builds over the revolutionary success of mobile and internet network . Even a few decades back, nobody could have imagined having a video chat with their families. Nowadays, it is merely a child’s play. All of this is due to the wide availability of internet and creation of devices with Wi-Fi abilities. Technology costs are going down, and smart-phones are capable of doing almost anything with their inbuilt features and apps. What we have till now is “Internet of Computers (IoC)” and it is gradually growing in size. According to Gartner’s study, “the world will be a more deeply and intimately connected place, with an estimated 7.3 billion tablets, PCs and Smartphone’s, by the end of this decade. By the year 2020, this massively connected system is likely to expand at even more rapid rate to 26 billion connected devices around the globe.” Thus, emerging the huge scope of Internet of Things (IoT). This so called IoT is sitting on a perfect storm. And the storm revolves around five basic areas Sensor technologies, Local processing, Networking models , Data Science and Predictive Technologies, Machine Learning and Security.
The Secure Internet of Things Project is a cross-disciplinary research effort between computer science and electrical engineering faculty at Stanford University, University of California – Berkeley, and the University of Michigan. The research effort focuses on three key domains:
• Hardware and software systems: Construction of hardware and software systems that will make the IoT enabled systems intelligent and secure.
• Analytics: Integration and analysis of the enormous streams of physical world instrumentation with all of the existing data.
• Security: Developing pervasive sensing and analytic systems to preserve and protect user security.
Characteristics
Some of the characteristics of IoT are Inter connectivity, Things related Services, Heterogeneity, Dynamic Changes, Enormous Scale etc. Today rapidly development of electronic gadgets with computing capabilities, storage along with embedding short range transceivers enabling new form of communications between people and things and things themselves. This new phenomena has added a new dimension to the world of information and communication technologies (ICTs). That is why IoT makes it possible from anytime, any place connectivity for anyone, we will now have connectivity for anything.
So Internet of Things is a technological revolution which is totally a dynamic in nature. It has been converging multiple technologies creating new dimension of services that improves the quality of life of consumers and productivity of enterprises. From the consumer point of view, the IoT has the potential applications such as deliver solutions that dramatically improve energy efficiency, security, health, education, connected cars, smart homes, smart retails and many other aspects of daily life. For enterprises, IoT can underpin solutions that improve decision-making and productivity in manufacturing, retail, agriculture and other sectors.
Technologies to support IOT
Some of the technologies converging to support and enable IoT applications are architecture, Identification, Communications, Network Technology, Network Discovery, Software and algorithm, Hardware Technology, Data and signal processing, Discovery and Search Engine, Net-work Management, Power and Energy Storage, Cyber Security, Information security etc. Challenges and research areas of IoT [11,12,13,14]
• Robustness
• Privacy
• Cloud computing
• Cyber physical system
• Autonomic Computing
• Social Networks
• Security
IoT represents a vision in which the Internet extends into the real world embracing everyday objects. Physical items are no longer disconnected from the virtual world, but can be controlled remotely and can act as physical access points to Internet services. The IoT vision is grounded in the belief that the steady advances in microelectronics, communications and information technology witnessed in recent years will continue into the foreseeable future.
Broad Topics of research are :
1 . IoT Network Design and Architecture
- IoT network design and Cloud networks
- Networking technologies for data centres
- Software defined networking
- Network virtualization technologies
- Embedded system architecture
- Adaptive and cognitive networks
- Wireless networks for IoT and Cloud
- IoT-enabled home networks
- IoT and SMART cities
2. IoT enabled Software Architectures and Middleware
- Software architecture for IoT and cloud
- Inter-cloud interfaces
- Programming models
- Services provisioning and management
- Hybrid cloud infrastructure for IoT
- IoT based Application development
- SMART censors, Use cases and Experiences
- Requirements analysis and modelling
- IoT Service integration
- Middleware for cloud and IoT
3. Mobile Cloud Service
- Mobile cloud and IoT services
- Mobiles as censors, networks and applications
- Mobile cloud and IoT models
- Spatial Mobility, geo-location and management
- Mobile multimedia services
- Pervasive and ubiquitous services in cloud and IoT
- Mobile service architectures and frameworks.
4. Data and Knowledge Management
- Data models, Tiny/small databases for IoT devices
- Knowledge management, Rules, Semantics and Ontologies.
5. Context-awareness and Location-awareness
- Context-awareness in cloud and IoT
- Location-aware services and Spatial data integration
- Cloud-based context-aware IoT
- Self adaptive services
- Context-aware models and protocols
- Context-aware services – transportation system, buildings, roads, water supply, environment and healthcare.
6. Security, Privacy and Trust
- IoT and cloud security
- Privacy issues
- Reliability of cloud and IoT
- Accountability and audit
- Authentication and authorization
- Cryptography; Identity theft; Data loss or leakage
- Trust management
7. Software-defined Networking
- Software-defined Networking (SDN) support for Cloud and IoT
- IoT Network virtualization
- Software defined data and storage
- SDN models and architectures
- QoS evaluation
- SDN scalability and optimization
- SDN security and privacy.
4 Comments
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