International Journal of Sensors Wireless Communications and Control - Volume 4, Issue 2, 2014

This paper presents Lynx, an automatic telemonitoring system for elderly people at home, which ensure their safety with an affordable cost. Lynx is based on the use of standard communications and open software and hardware platforms. The primary requirement of the platform is based on the principle of "no intrusion", so the "conscious" interaction of the user with the system is virtually inexistent. Therefore the platform is configured as a "plug-and-play" system, with different environmental wireless sensors, operating on frequency of 433 MHz or Zigbee, located at the user's home (presence, movements, doors, temperature, smoke, etc.), and biomedical sensors using bluetooth, measuring physical values as respiratory rate, heart rate, body temperature, position. Both kinds of sensors use a Rasperry Pi and Arduino deployed in every user's home. This Rasperry Pi runs OSGi software and Json Web services to send the gathered information to a "central cloud” system.

In an industrial environment, some phenomena such as wind, humidity, pressure or temperature are required to be controlled in a distributed and low invasive manner. This paper describes the development of a wireless sensor network that can easily be spread out and connected to a wide range of sensors. This versatility is reinforced by the processing and transmission capacities of each component of the network. An application to temperature mapping is provided to illustrate the functionality of the network. In particular, the previous hardware has been developed in order to perform temperature control while managing several airflow units. The learning based control proposal presented herein involves first, a neuro-fuzzy system in charge of generating a reliable model of the refrigeration process and then, an ant colony metaheuristic to find an optimum airflow solution that fits the required temperature distribution.

In a world where information is so important, the ensemble formed by An Unnamed Aerial Vehicle (UAV) and sensor opens a door to techniques unthinkable just a decade ago. In this paper several novel applications where the combination of sensors and UAV have proven their effectiveness: a monitoring application using this technique was used to control the transfer of a large metal dome in the sports hall of the city of Vitoria-Gasteiz (Spain), an operation of great technical difficulty, the semi-automatic creation of an orthoimage of a large expanse of field, determining the status of a solar farm, agricultural applications for determining the Normalized Difference Vegetation Index (NDVI) and inspection work of wind farms are just a sample of the range of possibilities that these techniques offer now safely and in a few years will be part of our daily lives.

Low power systems equipped with sensors that recognize users and objects are increasingly used today. These devices need to take actions according to the information resulting from the processed data. Sensed data processing is an intensive task and often needs more computational power than that available on the system connected to the sensor. This paper analyzes the opportunity of running the computational intensive tasks remotely in a remote High Performance Computing (HPC) center compared to processing data directly on low power sensor platform and still providing a real time response. The platform used is Raspberry Pi and the sensor is the Raspberry Pi Camera Module. Various connectivity methods to the HPC center will be tested such as wired, Wi-Fi and cellular HSDPA.

Monitoring the phenomenon of migration of an Antimicrobial Agent (AA), by means of a detection model using wireless nanosensory networks (WNSNs), is a new methodology required in the technological development of intelligent packaging. The detection models are programmed using the MATLAB simulation tool. Each nanosensor will give a migration value which is averaged for the analysis, transmitting and visual communication on a scale of colors, migration values depend on the initial concentration of AA in the polymer matrix and the state of the container. By an extrusion processs, a laminar phyllosilicate is physically mixed at high temperatures with a one low density polyethylene matrix (LDPE), polyolefin is one of the most used, forming a polymer clay nanocomposite (NPA). This new material presents improved barrier properties that delay the damage in time caused by external agents. The NPA are treated by a process of impregnation with CO2 as supercritical fluid (SCF) in which Thymol is solubilized, with the objective of introducing an AA into the NPA that migrates in time and is solubilized in foods, postponing deterioration reactions by the effect of decomposing microorganisms.

Titania nanofibers (NFs) and nanorods (NRs) with different diameters were prepared by electrospinning method. Photovoltaic properties of NR photoelectrodes were investigated with FESEM microscope, spectrophotometer and photovoltaic devices. It is found that titania NR electrodes with the diameter of 193 nm had the best conversion efficiency. Electrochemical modelings demonstrated the electron behaviors of anode layer and electrolyte. It is also determined that titania NR electrode with the diameter of 193 nm had the maximum electron life time value of 3.6 mS, the most chemical capacitance (Cµ) of 166.16 µF and the least recombination resistance (Rtr) of 705.3 Ω.

We can find the applications of wireless sensor networks in many fields such as target detection and tracking, environmental monitoring, industrial process monitoring etc. The density of nodes in wireless sensor network increases along with the usage. This places a new challenge for Medium Access Control protocol design. The nodes in wireless sensor networks are battery operated. So, they have a limited power source. To increase the lifetime of the network, available energy should be used efficiently. In communication, we can save energy at different layers of the network model. At Medium Access Control (MAC) layer, we can save considerable energy if the radio is used in an effective way. Although, A Traditional MAC protocols consume less power by using a single channel but performance is limited. A Number of multi-channel MAC protocols for WSNs have been proposed. These protocols can perform better than single channel MAC protocols only if the load is less. They are not energy efficient if the load is high. This paper proposes a receiver oriented timeslot sharing multichannel medium access protocol for wireless sensor networks. The objective is to achieve maximum performance & energy efficiency under both light & heavy traffic conditions. The proposed scheme allows multiple sensor nodes to transmit the data in parallel using multiple channels. The results of simulation show that the proposed protocol achieves maximum performance under both light and heavy traffic conditions and also energy efficient.