Soft computing is a synergistic combination of artificial intelligence methodologies to model and solve real world problems that are either impossible or too difficult to model mathematically. Furthermore, the uses of conventional modelling techniques demand rigor, precision and certainty, which carry computational cost. On the other hand, soft computing utilises computation, reasoning and inference to reduce computational cost by exploiting tolerance for imprecision, uncertainty, partial truth and approximation. In addition to computational cost savings, soft computing is an excellent platform for autonomic computing, owing to its roots in artificial intelligence. Wireless communication networks are associated with much uncertainty and imprecision due to a number of stochastic processes such as escalating number of access points, constantly changing propagation channels, sudden variations in network load and random mobility of users. The wireless network operates in a less controlled environment, so is more susceptible to interference, signal loss, noise, and eavesdropping. Generally, wireless facilities have lower data rates than guided facilities. Frequencies can be more easily reused with guided media than with wireless media. This reality has fueled numerous applications of soft computing techniques in area of wireless communication and networking. Advances in wireless sensor networking have opened up new opportunities in healthcare systems. Sensor-based technology has invaded medical devices to replace thousands of wires connected to these devices found in hospitals. This technology has the capability of providing reliability in addition to enhanced mobility. In the future, we will see the integration of a vast array of wireless networks into existing specialised medical technology.
The aim is to invite scientists and researchers working in the field of wireless networking with IoT and medical health care system using soft computing tools. This special issue invites research articles on soft computing techniques for various domains and applications of wireless networking and medical health care system.
Suitable topics include, but are not limited, to the following:
- Future wireless networks, architectures and protocols for wireless networks
- MAC, routing and transport protocols for wireless networks
- Energy efficient wireless devices and technologies
- Collaborative/cooperative/cognitive networking protocols
- Wireless communications energy , machine-to-machine (M2M) and device-to-device (D2D)
- Event synchronisation, self organisation, data aggregation, 3G/4G, WLAN, WPAN, satellite
- Energy-performance tradeoff and hybrid approaches
- 5G, vehicle networks, cognitive radio, underwater with wireless sensor networks
- Long-life sensor node deployment and topology control
- Energy-efficient communication protocol design
- Heterogeneous overlay networks, flying wireless robots networks
- Ad hoc audio and video connectivity
- Microwave and antenna propagation, signal processing/ data communication
- Energy efficient algorithms and implementations in Internet of Things
- Artificial neural networks for abnormality detection in scan images such as brain, eye, lungs etc.
- Fuzzy theory for abnormal region segmentation in scan images.
- Define networks wireless mesh networks delay, tolerant, data networks, security and privacy
- Medical image texture analysis, noise cancellation in EEG, ECG, MG, etc. signals
- NOMA in massive MIMO systems, full-duplex wireless networks and cognitive networking
- Micro wave and RF energy harvesting/SWIPT-enabled wireless sensor networks and Internet of Things
Important DatesManuscripts due by: 30 January, 2018
Notification to authors: 30 April, 2018
Final versions due by: 30 June, 2018