Funding: European Regional Development Fund and National Funds
Main Contractor: Technical University of Crete (TUC), School of Environmental Engineering
- TUC, School of Environmental Engineering
- TUC, School of Electronic and Computer Engineering
- DUTH, Micro- and Nano-Technology Laboratory (MNTLab),
Scientific coordinator of DUTH research group: Nikolaos Georgoulas, MNT Lab Director, Professor
Project site: http://www.cybersensors.tuc.gr/gr/system-presentation-gr.html
Technical Objectives and Requirements:
We propose to develop and implement an intelligent integrated monitoring system, utilizing electrochemical and optical sensors, for the physical (flow, suspended solids, and temperature) and chemical (conductivity, dissolved oxygen, nitrates, pH and heavy metals) parameters of the river. The data from the optical sensors will be analyzed in-situ with special pattern recognition algorithms, in order to estimate the river flow velocity field and discharge as well as the distribution of suspended solids using the hue values of the pictures. This system will be comprised of the sensors, CPU units, storage devices and a telecommunication system for data transmission. The system will be sending only the required processed data, rather than raw data, to a central station where the data will be used in an on-line integrated water resources management mode
Results of the Project:
- Development and implementation of an environmental cyber-infrastructure. An energy autonomous integrated dynamic system has been delivered which comprises an environmental sensor network system which can be configured to meet the needs of each river basin morphology. The intelligence of the system is perfectly suited for application to any basin, especially the ones with temporary rivers.
- The system has been tested at the Koiliarisriver and at the Acheloos river watershed, respectively. The selected data have been used for testing hydrologic, water quality and sediment erosion models and in this way they can contribute to an enhanced efficiency management of water resources in these regions.
Researchers involved (from DUTH):
Prof.N.Georgoulas, MNT Lab Director, Professor, Electrical and Computer Engineering Department @Duth
I. Andreadis, Electronics Lab, Professor,Electrical and Computer Engineering Department @Duth
G. Stamatelos, Assistant Professor, Electrical and Computer Engineering Department @Duth
E. Chatzistavrou, PhD Student
Related Publications (related to the DUTH research team):
- Solar radiation time- series prediction based on empirical mode decomposition and artificial neurals networks
P. Alvanitopoulos, I. Andreadis, N. Georgoulas, M. Zervakis and N. Nikolaidis. 2014. Artificial Intelligence Applications and Innovations: Proc. of 10th IFIP WG 12.5 Intern. Conf. AIAI 2014, Rhodes, Greece, September 19-21, 2014, 447-455, doi: 10.1007/978-3-662-44654-6_44
Abstract: This paper presents a new model for daily solar radiation prediction. In order to capture the hidden knowledge of existing data, a time-frequency analysis on past measurements of the solar energy density is carried out. The Hilbert-Huang transform (HHT) is employed for the representation of the daily solar irradiance time series. A set of physical measurements and simulated signals are selected for the time series analysis. The empirical mode decomposition is applied and the adaptive basis of each raw signal is extracted. The decomposed narrow-band amplitude and frequency modulated signals are modelled by using dynamic artificial neural networks (ANNs). Nonlinear autoregressive networks are trained with the average daily solar irradiance as exogenous (independent) input. The instantaneous value of solar radiation density is estimated based on previous values of the time series and previous values of the independent input. The results are promising and they reveal that the proposed system can be incorporated in intelligent systems for better load management in photovoltaic systems.
- Solar radiation prediction model based on empirical mode decomposition
- Optimal Backoff Exponent Estimation for Environmental Monitoring IEEE 802.15.4 Star-Topology Sensor Networks, E. Chatzistavros, G. Stamatelos 2014. Proc. of 2014 IEEE International Conf. on Imaging Systems and Techniques (IST), Santorini, Greece, Oct. 14-17, 2014, 157-160, doi: 10.1109/IST.2014.6958465
- Capacity Estimation of IEEE 802.15.4 Chains of Sensor Nodes E. Chatzistavros, G. Stamatelos, the Tenth International Conference on Wireless and Mobile Communications (ICWMC 2014), Seville, Spain,June 22 - 26, 2014, 32-36, ISBN: 978-1-61208-347-6 , [link to downlaoad]
- Data communications aspects in an IEEE 802.15.4 based monitoring system for integrated water management E. Chatzistavros, G. Stamatelos, Third International Conference on Innovative Computing Technology (INTECH 2011), London, UK, August 29 – 31, 2013,40-43, doi: 10.1109/INTECH.2013.6653707
- Performance evaluation of IEEE 802.15.4 sensor chains in an integrated water monitoring framework E. Chatzistavros, G. Stamatellos
- Comparative performance evaluation of TCP variants in WiMAX (and WLANs) network configurations
- Routing protocols and quality of service evaluation in wireless ad hoc and sensor networks: an integrated water resources management framework
PhD Thesis,October 2014
P. Alvanitopoulos, I. Andreadis, N. Georgoulas, M. Zervakis and N. Nikolaidis
2014. Proc. of 2014 IEEE International Conf. on Imaging Systems and Techniques (IST), Santorini, Greece, Oct. 14-17, 2014, 161-166, doi: 10.1109/IST.2014.6958466
Abstract: Accurate solar radiation data are a key factor in Photovoltaic system design and installation. Efficient solar radiation time series prediction is regarded as a challenging task for researchers both in the past and at present. This paper deals with solar radiation time series prediction. To date an essential research effort has been made and various methods are proposed that have different mathematical backgrounds, such as artificial neural networks, fuzzy predictors, evolutionary and genetic algorithms. In the present study the solar radiation time series prediction combines the Empirical Mode Decomposition (EMD) and Support Vector Regression (SVR) models. The EMD is an adaptive signal processing technique that decomposes the nonstationary and nonlinear signals into a set of components with a different spatial frequency content. It results in a small set of new time series that are easier to model and predict. The SVR is applied to the new solar radiation time series. Since support Vector Machines provide great generalization ability and guarantee global minima for given training data, the performance of SVR is investigated. Simulation results demonstrate the feasibility of applying SVR in solar radiation time series prediction and prove that SVR is applicable and performs well for solar radiation data prediction.
Abstract: In the IEEE 802.15.4 standard, the Backoff Exponent (BE) index defines the duration of a node's backoff period during a transmission attempt. In the context of an environmental monitoring research project, we examine the effect of the BE index value in overall network performance. We show that the minimum and maximum assigned values have a significant performance impact and propose a method for calculating the appropriate index value as a function of packet size, data rate and the number of active sensor nodes. In the same context, we also develop a network calculus approach for throughput estimation of IEEE 802.15.4 star topology networks and evaluate it over an extensive range of network configurations.
Keywords: Estimation,IEEE 802.15 StandardsIndexes, Network topology, Throughput, Topology
Abstract: In the context of an integrated water management project, we derive an analysis based on numerical modelling for throughput estimation in an IEEE 802.15.4 wireless sensor network (WSN). It takes into account the number of nodes in a cluster network, as well as transmitted packet size. We focus on the IEEE 802.15.4 compliant slotted Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) algorithm. Theoretical estimations are verified using the ns-2 network simulator. The configuration examined is a chain network formed by wireless sensor nodes where the first node is the source of data packets and the last is the traffic sink. Simulation results show that there is a satisfactory approximation between the theoretically estimated and the simulated values.
Keywords: Performance Evaluation, Wireless Sensor Networks, Analytical Model, Personal Area Network
Abstract: Network components of an environmental monitoring system comprising conventional sensor nodes and wireless visual sensor nodes are evaluated in this paper. In the context of the CYBERSENSORS research project, we look into its communications aspects and heterogeneous networks it employs. Hardware implementation and simulation tools are used here to derive a number of design guidelines that will help define the system's future architecture.
Keywords: Broadband communication, Cameras, IEEE standards, Monitoring,Throughput, Wireless communication, Wireless sensor networks
Wireless Personal Communications, 84 (1), 167-179,doi: 10.1007/s11277-015-2601-1
Abstract: In the context of the CYBERSENSORS integrated water management research project, we derive a numerical modelling approach for throughput estimation in an IEEE 802.15.4 wireless sensor network. We focus on the standard-compliant slotted carrier sense multiple access with collision avoidance algorithm. Our approach takes into account the number of nodes in a cluster network, as well as the transmitted packet size. The configuration examined is a chain network formed by wireless sensor nodes where the first node is the source of data packets and the last is the traffic sink. Theoretical estimations are verified using the ns-2 network simulator. We also look into the 3G communication aspects of the platform involved. Hardware implementation and simulation tools are used here to derive a number of design guidelines that will define the system’s architecture.
Keywords: Performance evaluation, Wireless sensor networks, Analytical model, Personal area network, Ad hoc transmission
K. Tsiknas, G. Stamatelos
2012. Journal of Computer Networks and Communications, Volume 2012, Article ID 806272, 9 pages. doi:10.1155/2012/806272
Abstract: An important application for the IEEE 802.16 technology (also called WiMAX) is to provide high-speed access to the Internet where the transmission control protocol (TCP) is the core transport protocol. In this paper we study through extensive simulation scenarios the performance characteristics of five representative TCP schemes, namely, TCP New Reno, Vegas, Veno, Westwood, and BIC, in WiMAX (and WLANs) networks, under the conditions of correlated wireless errors, asymmetric end-to-end capabilities, and link congestion. The target is to evaluate how the above conditions would affect the TCP congestion control and suggest the best schemes to be employed in WiMAX networks.