Dissemination Actions
Please find relevant scientific publications for the Kathodigos project, from University of Patras, which is the responsible partner for this website.
IEEE COMSOC MMTC E-Letter
Vol. 9, No. 5
On the Estimation of the Free Size of Parking Places in Smart Cities by Using Wireless Sensor Networks
This paper examines available solutions regarding the estimation of the free size of parking places in smart cities by using wireless senor networks. The implementation of the most promising such study and its computation cost were discussed in detail while simulation results related to its energy consumption were presented.
19th IEEE International Conference on Emerging Technologies and Factory Automation
Barcelona, Spain
A fuzzy rule-based and energy-efficient method for estimating the free size of parking places in smart cities by using wireless sensor networks
A fuzzy rule-based and energy-efficient method for estimating the free size of parking places in smart cities is proposed. In particular, the estimation is the output value of a fuzzy inference system (FIS) which was implemented on each wireless sensor mote (WSM) of a wireless sensor network (WSN) placed in the ground below the parking places and it was observed that it requires 8.9 Kbytes of flash program memory and 5Kbytes of RAM. Therefore, it can be adopted by the most WSMs available in the market. Moreover, the fuzzy rules were formulated by using real numerical data obtained from the WSN which conforms to the IEEE 802.15.4 set of standards. Next, the well known network simulator 2 (NS-2) was used for acquiring simulation results concerning the energy consumption of the battery of the WSMs. In order to model the error of the output value of the FIS and the energy consumption of the battery, a data fitting problem was solved and the cubic polynomial was fitted to the real and simulation data. As a result, a real-valued cost function was defined which was minimized to get the optimal values for the distance between the WSMs and the sampling period based on which the output of the FIS should be re-computed. Finally, the error of the estimation and the energy consumption were minimized by using the aforementioned values.
1st Conference on Intelligent Transportation Systems (ITS)
Zilina, Slovakia
KATHODIGOS - A Novel Smart Parking System based on Wireless Sensor Networks
This paper proposes a novel smart parking system which is named “KATHODIGOS” and is based on wireless sensor networks. More specifically, its general architecture and desired properties are presented while its differences from other related research studies and projects are delineated. Based on the aforementioned architecture, the interfaces and technical requirements between the subsystems of “KATHODIGOS” are fully defined. Finally, a promising property of these subsystems which is based on fuzzy inference systems is studied and its preliminary results are shown.