IEEE ICC 2013 Workshop on Advances in Network Localization and Navigation
- Start date/time
- Sat Jun 8 22:00:00 2013
- End date/time
- Sat Jun 8 22:00:00 2013
- Budapest, Hungary
The SPSC Lab is co-organizing the First IEEE ICC Workshop on Advances in Network Localization and Navigation (ANLN), which will be co-located with IEEE ICC 2013, the International Conference on Communications (http://www.ieee-icc.org/), in Budapest, Hungary. It will be a one-day event to be held on June 9 or June 13, 2013.
About the Workshop
The ability to locate and seamlessly track assets in indoor/dense urban environments without access to GPS is a complex and challenging task mainly due to the harsh multipath environment and the high probability of non-line of sight (NLOS). The value of accurate range/position information is the key requirement for many merging applications in the public safety, commercial, and residential domains, such as locating fire fighters or objects and instruments in warehouses and hospitals.
While extracting accurate location information is fundamental to the design of positioning systems, cooperative and cognitive positioning algorithms exploiting short-range communication links can enhance robustness. For example, in cognitive radio networks, geo-location and context-aware algorithms can support sensing methods to overcome e.g. the hidden node problem. Machine learning techniques take advantage of heterogeneous technologies to track mobile nodes using cooperative or non-cooperative sensor networks.
The goal of the workshop is to solicit the development of new positioning algorithms based on short-range wireless communications as well as new position-aware procedures to enhance the efficiency of communication networks. This workshop will bring together academic and industrial researchers to identify and discuss technical challenges and recent results related to short-range positioning.
Topics of interest
Topics of interest include, but are not limited to the following:
- Cooperative localization
- Cognitive, and machine learning techniques
- Hybrid positioning and data fusion from heterogeneous technologies
- Signal processing techniques
- Seamless indoor/outdoor localization
- Wireless sensor radars
- Energy efficient positioning systems
- Passive localization systems for RFID
- Positioning using source-of-opportunity signals
- NLOS identification & mitigation algorithms
- Field tests of location systems
- Propagation channel modeling for localization
- Performance bounds and optimization
- Simultaneous localization and mapping (SLAM)
For further information and the call for papers, please refer to the Workshop Homepage.