With the rapid advent of the Internet of Things, sensor cloud, mobile Internet and Web 3.0, more and more mobile devices, such as smart phones, Google glasses, and RFID, plus deployed various sensor networks, can sense and collect sensory data anytime and anywhere. We are moving towards the era of worldwide sensor networks, in which a huge amount of heterogeneous sensory data will be created every day and require advanced data management.
Efficiently gathering, sharing and integrating these spatial temporal data and then deriving valuable knowledge in a timely manner are a big challenge in this context. Furthermore, in the mobile environment, data management means a collection of centralised and distributed algorithms, architectures and systems to store, process and analyse the immense amount of spatial temporal data, where these data are cooperatively gathered through collections of mobile sensing devices which move in space over time.
In this special issue, we are interested in inviting and gathering recent advanced data management techniques. The topics suggested below can be discussed in terms of concepts, states of the art, standards, designs, implementations, and running experiments or applications.
The issue will carry revised and substantially extended versions of selected papers presented at the 2013 IEEE International Conference on Cyber, Physical and Social Computing (CPScom 2013), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.
Suitable topics include but are not limited to:
- Sensory data sharing
- Query processing in sensor networks
- Data gathering in mobile sensor networks or energy harvesting-based sensor networks
- Data heterogeneity in mobile environments
- Data duplication and replication issues in mobile environments
- Searching, discovering and locating things and services in mobile environments
- Security with data management
- Sensory data caching and storing for wireless multimedia sensor networks
- Big sensor data management
- Data mining in big sensor data
- Machine learning applied to sensor data
- Energy-efficiency and other resource trade-offs with sensing systems
- Participatory and opportunistic sensing
- Applications over clouds
- Mobile sensor-based personal informatics
- Mobile sensing deployment experiences and user studies
- Social and people-centric sensor data networking
- Data processing and management in industrial sensor networks
Manuscript due: 31 October, 2013
Acceptance/rejection notification: 31 January, 2014
Final manuscript due: 28 February, 2014