Dr. Kennedy Chinedu Okafor
(Ph.D, M.Eng, B.Eng, Coren.Reg, MNSE, MIEEE, MNCS, MAASCIT, MIAENG, MICTTF, MIARCP, CCNA Cloud, CompTIA A+, Server+)
Embedded Systems/Cisco HPC & Security Consultant.
Department of Mechatronics Engineering & Department of Electrical Electronics Engineering
Federal University of Technology Owerri, Nigeria
Call for Paper
Circulation in Computer Science (CCS) invites contributions for SPECIAL ISSUE on "Disruptive Computing, Cyber-Physical Systems (CPS), and Internet of Everything (IoE)"
Download Paper Template Manuscript Preparation
- Manuscript Submission Due: May 15, 2017
- First-round Acceptance Notification: June 12, 2017
- Revised Manuscript Due: June 28, 2017
- Final Decision Notification: July 8, 2017
- Final Paper (CRC) Submission Due: July 22, 2017
- Publication (Online): August 5, 2017
Aim and Introduction of the Special Issue
Disruptive technologies provoke and demonstrate massive change in the potentials and capabilities of the new industry 4.0 in terms of cost and performance. It offers a substitution alternative to large scale smart computing. Examples include Cyber-physical Systems (CPS), Internet of Things/Everything (IoT/IoE), Cloud computing, Mobile Internet, Knowledge Automation, Advanced Robotics/mechatronics, Autonomous vehicles, Renewable Energy Storage systems, 3D printing, and Smart Systems & cities.
Disruptive CPS driven by IoTs in today’s industry 4.0 raises a number of specific challenges such as system-level management, traffic congestion control, and quality of services, security and data analytics. However, system-level challenges in Disruptive CPS include abstracted scalable methods for federated controls, effective harmonization of scalable platforms, well-defined control interfaces for Disruptive CPS driven by IoT/IoE technologies and system standardization. Also, data mining presents issues such effective data collection, normalization and storage, QoS and real-time analytics.
The significance of this special issue is to deal with the challenges associated to Disruptive CPS. Submissions should present novel methods, algorithms, architectures, protocols, and technologies for effectively developing, deploying and managing large-scale Disruptive CPS, platforms and applications. Contributions are also invited to provide thought provoking insights and remedies to real-time analytics, process management and low latency computation in context.
Motivation and Importance
Disruptive CPS driven by IoT/IoE in today’s industry 4.0 raises a number of specific challenges such as system-level management, traffic congestion control, and quality of services, security and data analytics. System-level challenges in Disruptive CPS include abstracted scalable methods for federated controls, effective harmonization of scalable platforms, well-defined control interfaces for Disruptive CPS driven by IoT/IoE technologies and system standardization. Again, data mining in Disruptive CPS presents issues such effective data collection, normalization and storage, QoS latency, throughput, resource utilization and real-time analytics.
There is an urgent need for smarter integration of networked devices, people and physical systems thereby providing a vision of future possibilities offered by IoT/IoE as a vibrant part of the digital business landscape in the era of Industry 4.0. This will be very significant in the various sectors such as heath, manufacturing, energy, Agriculture, urbanization, etc. With the disruptive CPS enabled by IoT/IoE, this will facilitate better management of these sectors.
The interest of this special issue cuts across a large multidisciplinary audience and the scientific robustness of the issue will lead to originality of novel solutions in terms of contribution to knowledge. The issue will address a lot of gaps in the cyber-physical domains.
Finally, this issue seeks elicit contributions on how to nurture and cultivate Disruptive CPS driven by IoT/IoE in today’s industry 4.0 for the benefit of society at large.
- This issue will strongly drive research focus on smart innovation being led by industry 4.0. This will expose the economic potentials of disruptive cyber-physical systems while outlining its vulnerabilities and mitigations. Also, this issue will lead to massive transformation on how people live, and work while creating new opportunities for enterprises and drive growth extensively.
- The scientific community will better understand the disruptive CPS while articulating novel methodologies to addressing its challenges.
- Future research in Disruptive CPS will largely focus on developing interoperable CPSs as well as its application interfaces APIs that will sufficiently rely on IoT/IoE-enabled architectures, protocols and APIs.
- This will enhance the collection, managing and processing large data sets while supporting complex processes in this domain.
- With distributed cloud based infrastructure running type-1 network function virtualization, this will provide flexible computational power, resource optimization and high-capacity storage for data streams while offering core security. Future research in this area will be very interesting as system architects will remain ever busy with disruptive changes in the overall system designs and implementations. Consequently, cost optimization, efficiency, performance will be visible.
List of Topics
- Sensor network protocols for Cloud-assisted, IoT/IoE-based CPS.
- Cloud-assisted, IoT-based, large-scale cyber-physical applications to Automotive, Manufacturing, Supply Chain Management, Transportation & Logistics, Energy & Environment, And Healthcare.
- Software Defined Network (SDN) and IoT/IoE
- Virtualization in Disruptive Cyber-Physical System Architecture
- Industry 4.0 Sensor and Actuator Networks
- Ultra-low power IoT/IoE Technologies and Embedded Systems Architectures
- Wearable, Body Sensor Networks, Smart Portable Devices
- Design Space Exploration Techniques for IoT Devices and Systems
- Heterogeneous Networks, Web of Things, Web of Everything
- IoT/IoE Protocols and Internet of Nano-Things
- Sensors Data Management, IoT/IoE Mining and Analytics
- Adaptive Systems and Models at Runtime
- Distributed Storage, Data Fusion
- Routing and Control Protocols
- Resource Management, Access Control
- Mobility, Localization and Management Aspects
- Identity Management and Object Recognition
- Localization Technologies
- Edge Computing, Fog Computing and IoT/IoE
- Machine to Machine (M2M)/Devices-to-Devices communications and IoT/IoE
- Industrial IoT and Factory of Things and Internet of Things
- 5G Networks and IoT
- Theoretical foundations of Cloud-IoT/IoE Cyber-physical Systems.
- System design methodologies for Cloud-assisted, IoE-based, large-scale Cyber-physical Systems.
- Software platforms for managing of Cloud-assisted, IoE-based, large-scale Cyber-physical Systems.
- Cyber security in Cloud-assisted, IoE-based, large-scale Cyber-physical Systems.
- Validation of Cloud-assisted, IoE-based, large-scale Cyber-physical Systems.
- Cyber-physical systems, Context Awareness, Situation Awareness, Ambient Intelligence
- Collaborative Applications and Systems
- Quality of Service Experiences and Analysis
- Smart Cities, Smart Public Places, Smart Home/Building Automation
- e-Health, e-Wellness, Automotive, Intelligent Transport
- Smart Grid, Energy Management
- Consumer Electronics, Assisted Living, Rural Services and Production
- Industrial IoT/IoE Service Creation and Management Aspects
- Crowd-sensing, human centric sensing in CPS
- Trajectory data mining and big data analytics
- Disruptive IoT/IoE Privacy and Security Concerns
- Identification and authentication issues in Disruptive IoT/IoE
- Wireless sensor network for Disruptive IoT/IoE security
- Intrusion detection in Disruptive IoT/IoE
- Cryptography, key management and authorization for Disruptive IoT/IoE
- Physical/MAC/Network Attacks in Disruptive IoT/IoE
- Cross-layer attacks in Disruptive IoT/IoE
- Security with QoS optimization in Disruptive IoT/IoE
- Privacy based channel access in Disruptive IoT/IoE
- Disruptive IoT/IoE forensic science
- Big data and information integrity in Disruptive IoT/IoE
- Communication security in Disruptive IoT/IoE
- Security standards in Disruptive IoT/IoE
Article Processing Charge (APC) for Special Issue Papers
APC for a "Information Security" special issue paper (applicable only for this special issue): $53.50 USD
All work published in Circulation in Computer Science is open access and published under Creative Commons Attribution License. This ensures free web access and unrestricted visibility for published papers. To support the open access initiative instead of charging subscription fees from the readers, an author-pays model is applied for publication. In this model, Article Processing Charges (APCs) are paid by the author or by their supporting institution. The APCs cover the costs of peer review, typesetting, web publication, and inclusion in many Open Access databases.
APC payment is due upon acceptance of a manuscript and must be paid before production will begin. An invoice will be issued once your article has been accepted for publication after peer-review. There are no fees for submission or review of the manuscript.