Cognitive test-bed for wireless sensor networks

Cognitive Wireless Sensor Networks are an emerging technology with a vast potential to avoid traditional wireless problems such as reliability, interferences and spectrum scarcity in Wireless Sensor Networks. Cognitive Wireless Sensor Networks test-beds are an important tool for future developments, protocol strategy testing and algorithm optimization in real scenarios. A new cognitive test-bed for Cognitive Wireless Sensor Networks is presented in this paper. This work in progress includes both the design of a cognitive simulator for networks with a high number of nodes and the implementation of a new platform with three wireless interfaces and a cognitive software for extracting real data. Finally, as a future work, a remote programmable system and the planning for the physical deployment of the nodes at the university building is presented

Emerging Needs for Pervasive Passive Wireless Sensor Networks on Aerospace Vehicles

NASA is investigating passive wireless sensor technology to reduce instrumentation mass and volume in ground testing, air flight, and space exploration applications. Vehicle health monitoring systems (VHMS) are desired on all aerospace programs to ensure the safety of the crew and the vehicles. Pervasive passive wireless sensor networks facilitate VHMS on aerospace vehicles. Future wireless sensor networks on board aerospace vehicles will be heterogeneous and will require active and passive network systems. Since much has been published on active wireless sensor networks, this work will focus on the need for passive wireless sensor networks on aerospace vehicles. Several passive wireless technologies such as microelectromechanical systems MEMS, SAW, backscatter, and chipless RFID techniques, have all shown potential to meet the pervasive sensing needs for aerospace VHMS applications. A SAW VHMS application will be presented. In addition, application areas including ground testing, hypersonic aircraft and spacecraft will be explored along with some of the harsh environments found in aerospace applications

Wireless Communication Networks for Gas Turbine Engine Testing

A new trend in the field of Aeronautical Engine Health Monitoring is the implementation of wireless sensor networks (WSNs) for data acquisition and condition monitoring to partially replace heavy and complex wiring harnesses, which limit the versatility of the monitoring process as well as creating practical deployment issues. Using wireless technologies instead of fixed wiring will fuel opportunities for reduced cabling, faster sensor and network deployment, increased data acquisition flexibility and reduced cable maintenance costs. However, embedding wireless technology into an aero engine (even in the ground testing application considered here) presents some very significant challenges, e.g. a harsh environment with a complex RF transmission environment, high sensor density and high data-rate. In this paper we discuss the results of the Wireless Data Acquisition in Gas Turbine Engine Testing (WIDAGATE) project, which aimed to design and simulate such a network to estimate network performance and de-risk the wireless techniques before the deployment

The channel for hidden data transmission in WSN

This paper describes an idea and realisation of hidden data transmision using Tiny Aggregation Covert Channel (TAGCC)in Wireless Sensor Networks. Our solution uses data aggregation mechanism called Tiny Aggregation (TAG). The protocol is based on idea of hidden messages sending without generate additional data packets and encryption. The paper describes details of proposed algorithm and simulation results obtained during testing of the sensor networks with hidden channel TAGCC

The Design and Implementation of a Wireless Mesh Sensor Network for a Housing Community

Wireless mesh sensor networks typically consist of a cluster of intelligent radio nodes which transfer data between each other directly in a hop, or indirectly through two or more hops via adjacent nodes. These nodes contain one or more sensors. Wireless mesh sensor networks provide a solution in monitoring and controlling the physical world around us and offer far reaching potential applications. This paper presents a novel design, implementation and prototype realization of one such potential application, namely the use of a wireless mesh sensor network to monitor the events and activities in a housing community environment. In this network, transmit-only sensor nodes are employed in order to obtain a low cost, easy to deploy and low power solution. A small-scaled version of the proposed network is deployed in a controlled environment, allowing for practical testing and verification of the final design. The results obtained are presented and discussed within

Distributed lightning monitoring: an affordable proposal

In theaters and the filmmaking industry, video streams, images, audio streams and scalar data are commonly used. In these fields, one of the most important magnitudes to be collected and controlled is the light intensity in different scene spots. So, it is extremely important to be able to deploy a network of light sensors which are usually integrated in a more general Wireless Multimedia Sensor Network (WMSN). If many light measurements have to be acquired, the simpler and cheaper the sensor, the more affordable theWMSN will be. In this paper we propose the use of a set of very cheap light sensors (photodiodes) and to spectrally and directionally correct their measurements using mathematical methods. A real testing of the proposed solution has been accomplished, obtaining quite accurate light measurements. Testing results are also presented throughout the paper.Telefonica Chair "Intelligence in Networks" of the University of Seville (Spain

A fault fuzzy-ontology for large scale fault-tolerant wireless sensor networks

International audienceFault tolerance is a key research area for many of applications such as those based on sensor network technologies. In a large scale wireless sensor network (WSN), it becomes important to find new methods for fault-tolerance that can meet new application requirements like Internet of things, urbane intelligence and observation systems. The challenge is beyond the limit of a single wireless sensor network and concerns multiple widely interconnected sub networks. The domain of fault grows considerably because of this new configuration. In this context, the paper proposes a fault fuzzy-ontology (FFO) for large scale WSNs to be used within a Web service architecture for diagnosis and testing

Multiple Sensor on Clustering Wireless Sensor Network to Tackle Illegal Cutting

This paper is intended to purpose a designed system using Wireless Sensor Network application. It is multiple sensors to tackle illegal cutting in the stage of a timber harvesting. This paper also discusses network performance and the costs of the purposed system. In every node in the networks, the system was built using a combined sound sensor and vibration sensor in which incorporated using Xbee Pro S2C. It is considered as a communication module at each sensor node and Arduino Nano to process the data.  The Wireless Sensor Network has been designed in three networks with the configuration of master and slave nodes in each network. This system was testing using several scenarios to have the data performance of the networks and the performance of the proposed system in the small forest and the opened area. The costs of the purposed system also compared related to the previous system. The result showed the optimum distance that can be applied in the WSN network as a real-time application using Xbee Pro S2C is less than 30 meters; meanwhile the time consumed to communicate between nodes is below 5 s. Therefore, the more slaves in the subnetwork will affect the performance of the system. The proposed system runs smoothly as predicted in the purposed system. All the testing is 100% completed and can be handled by the proposed system