Wireless Sensor Network-based Subscriber Vehicle Identification and Position Detection in On-street Parking Areas
Aim of this feasibility study is to verify a method, based on the wireless sensor network technology (WSN), for detecting the identity and position of subscriber vehicles inside parking locations. A prototype of the algorithm that computes these parameters will be developed and tested; the algorithm will use the triangulation of signals coming from different WSN nodes to compute the position of the vehicle. Thus, RF interferences due to vehicle structure will also need to be studied.
| Head of project at USI | Alberto Ferrante |
| ALaRI Personnell | Alberto Ferrante Francesco Bruschi |
| Starting date | Monday, February 1, 2010 |
| Duration (months) | 4 |
| Partners involved | Università della Svizzera italiana, ALaRI (Switzerland) BMOB S.a.g.l. (Switzerland) |
| Funding Agency | KTI/CTI Feasibility Study |
| Research area | Ubiquitous and Pervasive Computing Security |
| Project ID | 11140.1 PFNM-NM |
| Status | Over |