Role of Scalable Computing and Data Analytics in Evolution of Internet of Things
The evolution of Internet of Things has given way to a Smart World where there is an improved integration of devices, systems and processes in humans through all pervasive connectivity. Anytime, anywhere connection and transaction is the motto of the Internet of things which brings comfort to the users and sweeps the problem of physical boundary out of the way. Once it has come into the purview of developers, new areas have been identified and new applications have been introduced. Small wearables which can track your health to big automated vehicles which can move from one place to another self navigating without human intervention are the order of the day. This has also brought into existence a new technology called cloud, since with IoT comes a large number of devices connected to the internet continuously pumping data into the cloud for storage and processing. Another area benefited from the evolution of IoT is the wireless and wired connectivity through a wide range of connectivity standards.
As with any technology, it has also created a lot of concerns regarding the security, privacy and ethics. Data protection issues created by new technologies are a threat which has been recognized by developers, public and also the governing body long back. The complexity of the system arises because of the various sensors and technologies which clearly tell the pattern of the activities of the individual as well an organization making us threat prone. Moreover, the volume of the data in the cloud makes it too difficult to recognize the privacy requirement of the data or to segregate open data from private data. Data analytics is another technology which supposedly increases the opportunity of increasing business by studying this private data collected from IoT and exploring ways to monetize them. It also helps the individual by recognizing their priorities and narrowing their search. But the data collected are real world data and aggregation of this data in the cloud is an open invitation to the hackers to study about the behaviors of the individuals. So where do we draw the boundary between individuality becoming a threat and individuality increasing the comfort? How do we monitor the data explosion and control it not to create mass or individual security breach? How do we build an ethical framework for the design of IoT based data acquisition systems?
This Special Issue expects original and high quality submissions related (but not limited) to one or more of the following topics:
- Interference coordination techniques for high-speed wireless networks
- Algorithms and mechanisms Machine-to-machine communication
- New routing, security, MAC and PHY layer protocols for wireless networks
- MANET, Sensor and Mesh network computing
- Network architectures and cross layer design
- Internet computing and Automotive electronics using IOT
- Mobility models for next generation wireless networks
- Interoperability and seamless access techniques for heterogeneous networks
- Design and performance issues of heterogeneous networks
- Tools, testbeds and deployment issues of Next-generation cellular networks (LTE-Advanced)
- Modeling of wireless devices and system implementation.
- Processing of signals through various wireless networking channels.
- Submission: November 27, 2019
- Author notification: December 27, 2019
- Revised papers: January 27, 2020
- Final decision: February 27, 2020
- Camera Ready papers due: March 1, 2020
- Publication: March 15, 2020
Original and unpublished works on any of the topics aforementioned or related are welcome. The SCPE journal has a rigorous peer-reviewing process and papers will be reviewed by at least two referees. All submitted papers must be formatted according to the journal's instructions, which can be found at:
Special issue editors:
- J.N. Swaminathan, Godavari Institute of Engineering Technology, Rajahmundry, India
- Gopi Ram, National Institute of Technology, Warangal, India
- Sureka Lanka, Stamford International University, Bangkok, Thailand