1,383 research outputs found
Implementation of the AODV Routing in an Energy-constrained Mesh Network
Wireless sensor networks (WSNs) compose the fundamental platform for a number of Internet of Things (IoT) applications, especially those related to the environmental, health, and military surveillance. While being autonomous in power supply, the main challenge in node’s processing and communication architecture design remains the energy efficiency. However, this goal should not limit the main functionality of the system which is often related to the network coverage and connectivity.
This paper shows the implementation of the Ad-hoc On-demand Distance Vector (AODV) routing algorithm in an XBee based platform. As shown, the network can achieve low power consumption per node primarily due to the energy efficiency of the wireless transceivers and the due to the capability of the firmware to enable different operation modes. On the other hand, while inheriting the advantages of flooding-based route discovery protocols, the implemented AODV algorithm further minimizes the data and processing overhead, which implies the additional lifetime prolongation of the energy-constrained mesh network
Implementation of the AODV Routing in an Energy-constrained Mesh Network
Wireless sensor networks (WSNs) compose the fundamental platform for a number of Internet of Things (IoT) applications, especially those related to the environmental, health, and military surveillance. While being autonomous in power supply, the main challenge in node’s processing and communication architecture design remains the energy efficiency. However, this goal should not limit the main functionality of the system which is often related to the network coverage and connectivity. This paper shows the implementation of the Ad-hoc On-demand Distance Vector (AODV) routing algorithm in an XBee based platform. As shown, the network can achieve low power consumption per node primarily due to the energy efficiency of the wireless transceivers and the due to the capability of the firmware to enable different operation modes. On the other hand, while inheriting the advantages of flooding-based route discovery protocols, the implemented AODV algorithm further minimizes the data and processing overhead, which implies the additional lifetime prolongation of the energy-constrained mesh network
Embedded Sensor System for Early Pathology Detection in Building Construction
Structure pathology detection is an important security task in building construction, which is performed by an operator by looking manually for damages on the materials. This activity could be dangerous if the structure is hidden or difficult to reach. On the other hand, embedded devices and wireless sensor networks (WSN) are becoming popular and cheap, enabling the design of an alternative pathology detection system to monitor structures based on these technologies. This article introduces a ZigBee WSN system, intending to be autonomous, easy to use and with low power consumption. Its functional parts are fully discussed with diagrams, as well as the protocol used to collect samples from sensor nodes. Finally, several tests focused on range and power consumption of our prototype are shown, analysing whether the results obtained were as expected or not
Implementing and Evaluating a Wireless Body Sensor System for Automated Physiological Data Acquisition at Home
Advances in embedded devices and wireless sensor networks have resulted in
new and inexpensive health care solutions. This paper describes the
implementation and the evaluation of a wireless body sensor system that
monitors human physiological data at home. Specifically, a waist-mounted
triaxial accelerometer unit is used to record human movements. Sampled data are
transmitted using an IEEE 802.15.4 wireless transceiver to a data logger unit.
The wearable sensor unit is light, small, and consumes low energy, which allows
for inexpensive and unobtrusive monitoring during normal daily activities at
home. The acceleration measurement tests show that it is possible to classify
different human motion through the acceleration reading. The 802.15.4 wireless
signal quality is also tested in typical home scenarios. Measurement results
show that even with interference from nearby IEEE 802.11 signals and microwave
ovens, the data delivery performance is satisfactory and can be improved by
selecting an appropriate channel. Moreover, we found that the wireless signal
can be attenuated by housing materials, home appliances, and even plants.
Therefore, the deployment of wireless body sensor systems at home needs to take
all these factors into consideration.Comment: 15 page
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
Preparation of NiO catalyst on FeCrAI substrate using various techniques at higher oxidation process
The cheap nickel oxide (NiO) is a potential catalyst candidate to replace the
expensive available platinum group metals (PGM). However, the current methods to
adhere the NiO powder on the metallic substrates are complicated. Therefore, this
work explored the development of nickel oxide using nickel (Ni) on FeCrAl
substrate through the combination of nickel electroplating and oxidation process for
catalytic converter application. The approach was started with assessment of various
nickel electroplating process based on the weight gain during oxidation. Then, the
next experiment used the best process in which the pre-treatment using the solution
of SiC and/or Al2O3 in methanol. The specimens then were carried out to short term
oxidation process using thermo gravimetric analysis (TGA) at 1000
o
C. Meanwhile,
the long term oxidation process was conducted using an automatic furnace at 900,
1000 and 1100
o
C. The atomic force microscopy (AFM) was used for surface
analysis in nanometer range scale. Meanwhile, roughness test was used for roughness
measurement analysis in micrometer range scale. The scanning electron microscope
(SEM) attached with energy dispersive X-ray (EDX) were used for surface and cross
section morphology analysis. The specimen of FeCrAl treated using ultrasonic prior
to nickel electroplating showed the lowest weight gain during oxidation. The surface
area of specimens increased after ultrasonic treatment. The electroplating process
improved the high temperature oxidation resistance. In short term oxidation process
indicated that the ultrasonic with SiC provided the lower parabolic rate constant (kp)
and the Al2O3 and NiO layers were also occurred. The Ni layer was totally
disappeared and converted to NiO layer on FeCrAl surface after long term oxidation
process. From this work, the ultrasonic treatment prior to nickel electroplating was
the best method to adhere NiO on FeCrAl substrate
Experimental implementation of an IoT platform for automatic actuation in a building
L'Internet de les coses (IoT), i específicament el seu ús per a Smart Buildings, ha augmentat en popularitat en els darrers anys, gràcies a les millores en les tecnologies de comunicacions i en hardware que fa que sigui més fàcil que mai poder interconnectar dispositius. Un dels principals punts d'interès, particularment dels Smart Buildings, és la capacitat de millorar l'eficiència energètica i reduir el malbaratament, ajustant automàticament els recursos de l'edifici i proporcionar als usuaris més comoditat. Tenint en compte aquest concepte i intentant millorar la proactivitat dels Smart Buildings per gestionar de manera més eficient els recursos, la tesi "Design and simulation of an interoperable IoT platform for automatic actuation in buildings" proposa una solució, i la prova en un escenari virtual, modelant i simulant aquesta implementació. Seguint aquesta idea, en aquest projecte vam portar aspectes d'aquesta solució teòrica a un entorn real. Vam implementat una Wireless Sensor Network (WSN) a l'edifici, amb sensors i gateways, per tal de controlar i documentar els resultats d'una implementació real i la seva viabilitat. Les nostres conclusions criden l'atenció sobre les diferències entre els resultats obtinguts dels sensors simulats i els de sensors reals, així com els obstacles que s'han trobat durant l'experiment, oferint solucions per a dissenys futurs.The Internet of Things (IoT), and specifically its use for Smart Buildings, has been on the rise in the last few years thanks to improvements in wireless communications and hardware that make it easier than ever to interconnect devices. One of the main points of interest of Smart Buildings, in particular, is the ability to improve energy efficiency and reduce waste, automatically adjusting the building's resources and providing users with higher comfort. With this concept in mind, and trying to improve the proactiveness of Smart Buildings to more efficiently manage resources, the thesis "Design and simulation of an interoperable IoT platform for automatic actuation in buildings" proposes a solution and tests it in a virtual scenario, modeling the sensor values and simulating this implementation. Furthering this idea, in this project we brought aspects of this theoretical solution to a real environment. We implemented a Wireless Sensor Network (WSN) through the building, with real sensors and gateways, in order to monitor and document the results of a real implementation and its viability. Our conclusions draw attention to the differences between the simulated and real sensor implementations, as well as the obstacles that have been found during the experiment, offering solutions for future designs
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