Accurate localisation and positioning are becoming increasingly important for a wide range of applications including healthcare applications. Conventional localisation techniques are not suitable for healthcare due to the mobility and dynamics of patients. In addition, these techniques do not provide immediate, secure and accurate positioning information of patients in life-critical situations.
There is an urgent need to develop novel localisation and positioning techniques for healthcare applications, which must be able to accurately locate patients during abnormal circumstances. For example, these novel techniques may be able to interact with body area networks in order to locate patients who are expecting a heart attack.
Also, recent advances in cloud computing, including cloud storage, cloud database, and cloud collaboration, offer tremendous opportunities for patient localisation. By leveraging the opportunities and advantages offered by cloud computing, cloud-assisted localisation has the potential to revolutionise localisation and promises a new era of localisation in healthcare applications.
This special issue invites present research and review articles in order to promote research activities on localisation and positioning for healthcare applications. Original analytical, experimental and systems-related papers on the theme will be considered.
Topics include but are not limited to:
- Cloud-assisted data processing, mining and fusion for patient localisation
- Mobile cloud computing for patient localisation
- Social network-based localisation of patients
- Network architectures and protocols for patient localisation
- Intelligent medical devices and sensors for localisation
- Hardware and software of localisation for healthcare (RFID, IMU, smartphones, etc.)
- Simulations and test-bed implementations
Paper submission due: 1 July, 2014
Decision notification: 1 November, 2014
Revised paper submission: 1 December, 2014
Final paper submission: 25 January, 2015