Special Issue on Cognitive Wireless Networks Inspired Paradigm in IoT Applications
摘要截稿:
全文截稿: 2018-10-01
影响因子: 1.902
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 心理学 - 3区
• 小类 : 计算机:人工智能 - 4区
• 小类 : 神经科学 - 4区
• 小类 : 心理学:实验 - 4区
Overview
The cognitive wireless communication devices are increasing immensely and it has been predicted that by twenty-twenty (2020) the worldwide traffic of these communication smart devices will increase exponentially. In this scenarios Internet of things(IoTs) will be dominated by massive wireless devices like smart sensor and Smartphone and smart wearable devices. This requires technologies to handle this massive data traffic with high mobility. The huge amount of data generated by these devices needs efficient handling and security for diverse applications. Cloud computing plays an important role in this service. Though cloud-based framework provides a significant advantage still lack huge maintenance and security challenges. This shows that the future communication systems and cognitive wireless networks have to evolve those technologies which satisfy high traffic value, more than 100 billion connected devices, a large diversity of applications supporting reliability, latency and data rates. The main challenges of huge devices and their deployment relies on smart cognitive wireless network management. Various approaches have been implemented like deep learning, reinforcement learning, and smart cognitive wireless resource management which are the current trends of communication of big data. Hence there is a need for a decentralized approach of the cognitive wireless networks to solve these problems.
This special issue invites original research that investigates the cognitive wireless network and its applications for IoT. Potential topics include but not limited to the following:
- Interfaces, protocols and associated Cognitive Wireless Network Technology in IoT
- Fast and complexity-awareness algorithms for real-time computing for Cognitive Networks
- Scientific computing and data management in Cognitive Wireless Networks
- Cognitive Network-based big data management and analytics for IoT applications
- Data-driven service management automation
- Cognitive Sensor Network issues in mobile cloud computing
- Ambient intelligence and intelligent service systems in IoT
- Spatial data techniques and tools for analytics
- Cognitive Wireless Networks for Smart city services and applications
- Internet of Things for cross-thematic applications
- Cognitive IoT applications: mobility, energy, public administration & governance, economy, health, security and environment