Wireless Online Atmospheric Electric Field Measurement System Based on Rotating-vane Electric Field Mill

One of the popular methods to measure atmospheric quasi-static electric field is by using rotating-vane electric field mill (REFM) sensor. By observing electric fields strength in atmosphere, occasion of lightning incident can be forecasted. This paper proposes an integration of REFM with an online wireless data monitoring system for long distance observation and data collection. This method reduces system costs by removing the computer and data logger on-site. Furthermore, it reduces the required man-hour to gather data from the REFM. The development includes hardware and software design in order to improve efficiency the atmospheric electric field measurement system. The contribution of this paper is the design of the electronic circuit which converts the ac signal from the REFM sensor to dc signal and then correlates the signal to the electric field strength in the vicinity. Subsequently the information is transmitted via a wireless data transmission system, using the Global System Mobile Communication (GSM) network. Using the proposed method, all the data from sensors can be observed and analyse immediately from any location

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

Data collection and transmission for leisure time boats : based on Arduino WSNs and LTE

There has been an astonishing research development in the field of wireless sensor networks (WSNs) in the last decade. A large number of low power capacity devices have been implemented in different vehicles, where sensor nodes act as a team to monitor the environment and forecast the potential defects. In this thesis, we aim to design a data collection system using a WSN on a leisure boat in order to monitor and maintain the boat after sale. The designed system aims to collect data from different sensors on board using WSNs and transmits the collected data to a remote server through cellular network. For the WSNs part, we select a low-power driven Adruino Lilypad as a controller and a XBee interface as transceiver for each sensor node in order to provide a reliable data collection mechanism with a low amount of power consumption. Furthermore, to upload the collected data to a remote server, we adopt a 3G/LTE cellular network for the long range wireless communication. We utilize a PandaBoard as a gateway to connect the WSN and the 3G/LTE network. The designed network is implemented and tested in a lab scenario at university and on a Marex boat along the coast

A Comprehensive Study Of Energy Efficient Routing In Wsn Towards Qos

The Wireless Sensor Network (WSN) is an emerging field of wireless network comprising of few to many autonomous tiny sensors nodes, with limited processing, limited memory, limited battery power, limited bandwidth and limited wireless transmission capabilities. The life time of the sensor node depends upon the battery power. WSN are commonly used to monitor environmental conditions like temperature, sound and pressure etc. WSN is an application of MANET. Wireless sensor node collects data and sends back to the sink or Base Station (BS). Data transmission is normally multi-hop among sensor nodes that enable these nodes to transmit data from hop to hop towards the sink or BS. Wireless sensor network requires robust and energy efficient communication protocols to minimize the energy consumption as much as possible.  Main penalty area of researchers is to design the energy efficient routing protocol. Routing protocols should be energy efficient, scalable and prolong the network lifetime.But Quality of Service QoS is also a challenge for energy efficient routing protocols for researchers. QoSneeds a multi-layerlinespanning using the different layer protocol architecture. In this paper, we enlighten the energy efficient routing towards QoS in WSNs and proposes a solutionfor the QoS layer in energy efficient routing techniques in WSNs and finally, highlight some open problems and future direction of research for given that QoS in WSNs

Optimized power and water allocation in smart irrigation systems

Agriculture has a significant role in countries’ economy, but irrigation process consumes both power and water resources. Since in agriculture the goal is to maximize crop’s yields with minimize costs, it is important to design a national smart irrigation system with optimal allocation of power and water resources especially in a plantation area with little rains. In this work, an optimized on-demand smart irrigation system is proposed to manage the allocation of the consumed power and water in agriculture field. The system controls irrigation process by utilizing Wireless Sensor Network (WSN) to collect real-time data from the field using sensors. Raspberry pi takes appropriate decision about irrigation process according to received data from sensor nodes, and commands are sent from it to actuator nodes. Secured Message Queuing Telemetry Transport (MQTT) protocol with Transport Layer Security (TLS) authentication protocol is used in managing the data exchange in the network over Wi-Fi technology. In addition, an optimal power and water consumptions formula is derived using Lagrange Multiplier method to allocate resources in an optimal way depending on watering demands. Both theoretical and practical results approve the efficiency of the proposed system in managing irrigation process optimally

Cooperative Filtering and Parameter Identification for Advection-Diffusion Processes Using a Mobile Sensor Network

This article presents an online parameter identification scheme for advection-diffusion processes using data collected by a mobile sensor network. The advection-diffusion equation is incorporated into the information dynamics associated with the trajectories of the mobile sensors. A constrained cooperative Kalman filter is developed to provide estimates of the field values and gradients along the trajectories of the mobile sensors so that the temporal variations in the field values can be estimated. This leads to a co-design scheme for state estimation and parameter identification for advection-diffusion processes that is different from comparable schemes using sensors installed at fixed spatial locations. Using state estimates from the constrained cooperative Kalman filter, a recursive least-square (RLS) algorithm is designed to estimate unknown model parameters of the advection-diffusion processes. Theoretical justifications are provided for the convergence of the proposed cooperative Kalman filter by deriving a set of sufficient conditions regarding the formation shape and the motion of the mobile sensor network. Simulation and experimental results show satisfactory performance and demonstrate the robustness of the algorithm under realistic uncertainties and disturbances