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You are here: Workpackages -> WP3
WP3Demonstration & DisseminationThis project will utilize two testbeds already available from some of the partners of the COMONSENS consortium: a testbed for MIMO communications with several transmit and receive antennas, and a testbed for a wireless ad-hoc sensor networking consisting of motes with different sensors and where all the configuration, programming and monitoring of the network can be performed remotely (including a web interface). Apart from simulating algorithms, it is necessary to gain operational experience and to address the various technological and practical problems that are specific to the targeted application constraints of the various devices involved (such as low power, low cost, etc). The main goal is to establish a realistic setup where different codes and techniques can be compared, analyzing in practice crucial issues such as robustness, reliability, scalability and self-organization, and providing a valuable feedback into the design of theories and algorithms. The testbeds will serve both to keep the project grounded and to facilitate the timely impact of our theoretical and algorithmic propositions. Furthermore, during the project, the operational functionalities of these testbeds will be also drastically increased, which will make it easier to do research even directly on the application domain. Moreover, the project also intends to build demonstrators for applications such as distributed detection, domotics, and environmental monitoring. Emphasis will be given to enhancing the ability to manage critical scenarios including: a) emergency situations and critical events, b) indoor positioning to help elderly or disable people in domestic contexts, and c) monitoring of environmental parameters to control the quality of citizens' lives. This workpackage is led by UC and UDC, and involes the following partners: CEIT, UPC, UPM, UVEG, UC3M, UPF, UVIGO and US. The activities contained in this workpackage are described in more detail below. A3.1 - Demonstration of Cooperative NetworksThe objective of this activity is the construction of a cooperative wireless network hardware demonstrator for the practical evaluation and assessment of cooperative communications schemes in realistic scenarios. This will require the design and development of novel wireless nodes because, in addition to transmit and receive, terminals in cooperative networks should be able to assist in the reliable delivery of information from source terminals to destination terminals. Cooperation poses novel challenges in the design of practical terminals since it requires stronger coordination between the physical and the medium access control. Also, terminals should incorporate wireless operational feedback channels for the routing algorithms to perform properly and for the exchange of CSI. The construction of a cooperative wireless network necessarily requires the cooperation of several research groups. Different partners of the COMONSENS consortium already have experience in the development of hardware demonstrators for MIMO point-to-point communications. This expertise will be exploited by COMONSENS to expand the existing hardware demonstrators in three directions:
A3.2 - Demonstration of Wireless Sensor NetworksThe aim of this activity is to demonstrate the applicability of the new concepts and methodologies developed in the previous WPs and their impact in applications of interest. Distributed detection for acoustic-source localization. In this scenario, a target is to be detected by means of many surrounding sensors. This target may be a person needing assistance, a radio beacon, a fire, an intruder, a pollutant contaminating an area, etc. This leads to a standard binary hypothesis testing problem. Target presence is related to a magnitude that depends on how the event is observed by each sensor at its specific position relative to the event occurrence. In our demonstrator, the target will be a voice emitter periodically requesting help. Around it, several nodes with unexpensive microphones will try to detect the presence of the target. A hostile setup will be arranged, where neither knowledge on the network topology nor target position and propagation characteristics are available. Therefore, robust local detection at the nodes and robust fusion must be accomplished with uncertain (usually low) local signal-to-noise ratios and with no guaranteed links among the nodes. The objective of this test is to show how distributed detection may perform close to optimally while being much more efficient from a power consumption standpoint because only a handful of bits are transmitted, as opposed to a raw analog signal. Our deployment will be based on standard nodes, IEEE 802.15.4 compliant, with standard communication interfaces. Our demonstrator will show how different configurations affect the fusion rule evaluating the system level detection performance in terms of the signal-to-noise ratio and of the model assumptions (a priori information) according to:
Domestic monitoring system. A subset of the proposed distributed inference algorithms (including machine learning techniques as well as detection, tracking and prediction methods) will be applied to the surveillance and care of people with disabilities in a domestic context. We will show the feasibility of identifying, locating and tracking persons and also of learning a person's typical behavior patterns. The sensor network will consist of a number of heterogeneous devices that measure acoustic energy, range, temperature, humidity, light, and video. Data collected at the sensor nodes will be transmitted, by means of a wireless network, to a small number of data fusion centers (DFCs) where specialized algorithms (location and tracking, classification, detection of events, etc) will be run. Note that indoor location cannot rely on global navigation satellite systems since their performance is severely hampered in multipath radio propagation environments. For this reason, the combination of sensor networks and nonlinear tracking algorithms for indoor location and navigation has become an active research topic that is attracting both academic and industrial attention. Furthermore, it constitutes a good benchmark for the techniques developed in WP2. Although each DFC will provide information useful by itself, we will implement a higher level of information fusion by integrating the outputs of individual DFCs in order to adaptively learn the behavioral patterns of the persons being monitored. Knowledge of such patterns can help trigger real-time alarms, such as accidents or security events, and also long-term warnings motivated by the early detection of functional disorders. Environmental monitoring. The monitoring of meteorological processes with high spatio-temporal resolution in environments with a strong anthropologic pressure, through the use of a dense wireless network of atmospheric sensors (temperature, humidity, etc...), where the meteorological conditioning determines very importantly the patterns of reception of pollutants and the occurrence of intense and sharp episodes of pollution. The experimental information of the atmospheric environment, having a sufficient coverage and density such as the one that can be provided by a wireless sensor network, will achieve two main practical objectives: a) much deeper understanding of the processes governing the pollutant emitter-receiver interaction and b) design of efficient strategies for management and prevention of atmospheric pollution. The ceramic environment of Castellón (Spain) provides an ideal scenario for the development of novel technologies, such as wireless sensor networks, because of the dense distribution of industrial manufacturers in an aerial watershed with a very particular dynamics, in addition to the availability of additional complementary historical experimental measurements of other types and an important cumulative knowledge about the region. Our objective here will be to tailor the design and implementation of wireless sensor networks to a particular and important environmental monitoring application. We will build and deploy an outdoor low cost, reliable and reactive large-scale network integrating motes with different processing and communication capabilities. The scenario that will be considered is pollution monitoring in industrialized environments We will deploy a prototype wireless sensor network in the watershed of Mijares river, Castellón, which is an area strongly affected by pollution due to the presence of several ceramic manufacturers. By means of soil moisture, water pressure, rain and temperature sensors, the effect of pollution in water and soil conditions will be monitored. The steps to be followed are:
A3.3 - Dissemination and Knowledge TransferA number of specific actions have been planned in order to disseminate the results achieved by the COMONSENS consortium:
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