Meshlium Xtreme is the new multiprotocol router for wireless sensor networks designed to connect ZigBee,Wifi and Bluetooth sensors to the Internet through 3Gconnectivity. The new line launched today allows to send the information gathered by hundreds of sensor nodes at the same time, as it counts with an unprecedented "upload to the Cloud" bandwidth of 5.5 Mb/s -more than 10 times faster than compared with traditional GPRS gateways-. Read more.

The new RFID/NFC module for the Waspmote sensor platform completes the active tag technology driven byZigBee with passive tag identification enabling the creation of complex location based services with just one device. Read more.

Given recent public alarm at the safety of our food sources, this accuracy of monitoring our food supply during the transport and distribution increases consumer confidence and protects community health and the food industry's integrity. To prevent food insecurity, we require reliable food systems at each stage of the food cycle: from foodproduction and harvesting, during  transport anddistribution, at the shops we buy at and in the social settings wherever we consume food, and in themanagement of the resulting bio-waste outputs. Libelium's Waspmote sensors can be used to monitor and control the whole food cycle. Read more.

Libelium announces the launch of the new Wifi module for the Waspmote sensor platform. The new radio module adds an extra layer of intelligence to the nodes allowing them to send the collected data to any web server located in the Cloud using the HTTP protocol. The new Wifi sensor nodeswill be also capable of sending data to any nearby iPhone or Android device by creating direct links with them. Read more.

PRETESIC project has been developed by the Institute of Computer Technology (ITI) in collaboration with thePolytechnic University of Valencia (UPV) and Telefonica Cathedra, and it has been deployed in the city of Valencia (Spain). This system is able to monitor water quality by measuring different environmental parameters and its main advantage is to minimize the time required to deploy a wireless sensor network in a particular area. Read more.

The last 10.000 years have been one of the most stable climate periods in the history of the Earth. But now, our climate is getting warmer as we are producing more greenhouse gases than ever before. European Environment Agency (EEA) studies climate change and uses WSN for monitoring environment with Waspmote. In the ESRI User Conference in San Diego, July 2011, Prof. Jacqueline McGlade, executive director of the European Environment Agency, presented some conclusions such as the use of sensors like Waspmote would help to understand and prevent the climate change. Read more.

Management of cargo freight such as sea containers is an essential element of world economic systems. The transport and delivery of goods from continent to continent and between locations on-land enable business growth and facilitate population access to necessary goods and consumer items. However, mismanagement and accidents with transport containers cause significant impact to the economy, individual businesses, workers, communities and the environment. Libelium's Waspmote sensors can be used to monitor and control logistics operations. Read more.

EkoBus system, which has been developed in collaboration with Ericsson, has been deployed in the cities of Belgrade and Pancevo. 65 Waspmotes have been installed on public transportation vehicles to monitor a set of environmental parameters over a large area as well as to provide additional information for the end-user like the location of the buses and estimated arrival times to bus stops. Read more.

RESCATAME project, which has been developed by several companies including CARTIF, has been deployed in the city of Salamanca. 35 Waspmotes have been installed to monitor air quality (CO, NO2, O3, Temperature, Humidity, Particle) and noise. Its main goal is to achieve sustainable management of the traffic in the City of Salamanca by using two key-elements: a pervasive air-quality sensors network as well as prediction models. Read more.

Libelium, a technology leader in wireless sensor networks, announces the completion of its Smart Cities platform. The new sensor board measures noise pollution, dust quantities (PM-10), structural health (cracks detection and propagation) and garbage levels in bins in order to improve the waste management. This board may be combined in a network with previously available sensor boards for gas monitoring, radiation detection and Smart Parking. System integrators can now create a comprehensive range of services based on the Smart Cities platform. Read more.

New Smart Parking technology from Libelium enables cities to make efficient use of their parking resources by providing accurate information on available parking spaces. The new platform allows consultancies and system integrators to deploy  the solution in their local area. Read more.

Libelium announces the launch of OTA, a solution that lays the foundation for over the air programming (OTAP) for wireless sensor networks and the Internet of Things. This technology enables firmware upgrades of the motes without the need of physical access. Read more.

The creation of the Radiation Sensor Board has been motivated by the nuclear disaster in Fukushima after the unfortunate earthquake and tsunami struck Japan. We want to help authorities and security forces to measure the levels of radiation of the affected zones without compromising the life of the workers. For this reason we have created an autonomous battery powered Geiger Counter which can read the radiation levels automatically and send the information in real time using wireless technologies like ZigBee and GPRS.  Read more.

Ultraviolet Radiation is involved in many biochemical processes, in the case of human beings in the production of vitamin D and melanin, but overexposure may result in highly harmful effects, such as erythema, sunburn and even skin cancer. For this reason Libelium has recently integrated an Ultraviolet sensor in the Waspmote platform to control the UV Index which may be harmfull for humans.

The new Waspmote Agriculture Sensor Board enables up to 14 environmental parameters to be monitored in a wireless sensor network. This sophisticated monitoring brings extreme precision to crop growing in vineyards and greenhouses by enabling irrigation and climate control to be matched to local conditions.

There are two main ways of performing outdoor location when tracking sensor devices in a large area such as a city. The most extended is using a GPS module to get the information sent by the satellites on the 1575MHz band and extract all the information possible (latitude, longitude, speed, direction). However, this methodology is not effective when requiring mobile scenarios where the nodes can change from a clear environment to an indoor one, such as going inside buildings, garages and tunnels. For this cases we use the information provided by the Mobile Phone Cells (Cell ID, RSSI, TA) which is captured by the GPRS module. Read the complete article.

ZigBee sets three layers of security, the first one is based on the IEEE 802.15.4 Link layer encryption. The others are implemented in the Networking and Application layers. All of them uses AES 128b as encryption mechanism but differ from the kind of authentication and privacy policies. Read the complete article.

During the research of the Waspmote sensor platform, several tests were made using different kinds of transceivers according to the frequency bands (2.4GHz, 868MHz and 900MHz) and the transmission power (1mw, 100mW, 315mW).

The tests performed in the Monegros Desert (Spain) had the purpose of seing the capabilities and limits of the 802.15.4/ZigBee radios integrated in Waspmote.

Among the 6 different links (356m, 639m, 1239m, 3810m, 6363m,12136m) were chosen Line of Sight (LOS) and Non Line of Sight (NLOS) configurations which were tested always using omnidirectional antennas (2dBi, 5dBi). Read more.

Libelium has officially launched today the Waspmote platform. The research efforts have focused on providing a minimum consumption (0.7uA in the Hibernate mode), and at the same time, maximum performance and capabilities. It comes with three sensor boards which let deploy any kind of aplication using their integrated sensors: CO, CO2, O2, CH4, luminosity, temperature, water level, pressure,...

As pointed in the previous article 802.15.4 vs Zigbee, the IEEE MAC layer implements several features which are used by the Zigbee protocol in the network and application layers. One of this features is the security services. IEEE 802.15.4 sets the encryption algorithm to use when cyphering the data to transmit, however,  the standard does not specify how the keys have to be managed or what kind of authentication policies have to be applied. These issues are treated in the upper layers which are managed by protocols such as ZigBee.

The ZigBee/802.15.4 USB pen drive created by the Wireless Sensor Network Research Group (WSNRG) and the Libelium team is currently being used as an access point to Wireless Sensor Networks when using PDA's and mobile phones. If you PDA or mobile phone has a USB (or mini-USB connector) you can also get your sensor information directly on your hand.

Libelium has launched a survey to ask developers and companies which sensors they would find useful a mote to bring. They are currently working on the development of the sensor integration board for Waspmote and they want to take into account your opinion. Think in a WSN project you would like to develop and tell them which sensors the motes should have to bring. There will be a prize draw for a Waspmote Developer Kit among all the participants. The survey: http://www.waspmote.com/survey/

The MicroSD module for Arduino is a small shield that you can connect to Arduino, once the shield is connected, you add SD flash memory to Arduino. The SD socket is connected to SPI port.
With this module you can store a big amount of information (1Gb microSD card is included).

One of the main challenges when treating the objects and people location field is when they have to be found indoor. We have created a new device called X-Tick as a tool to let the creation of triangulation applications based on the RSSI parameter computation.

Wireless Sensor Network use normally IEEE 802.15.4 / ZigBee technologies for communication among motes, technologies like these are very useful to tramsmit data between motes. But some times in Wireless Sensor Network is interesting to count with a long  range  communication technology to send / receive data to a remote user, server or alarm center. Using the cell networks throught the GPRS/GSM module we are going to make our motes be able to work and send information in almost anywhere.

Maybe one of the most important feature of the motes in a wireless sensor network is the time a mote is able to be working without charging its battery. In this article we are going to develope a code on SquiBee using the sleep features and cyclic waking up. With this working mode we are gonig to save a big amount of energy.

Once we have some SquidBees running in our sensor network it's time to add new sensors. In this articule we are going to add a vibration sensor to SquidBee. With this new sensor we'll be able to detect movements on the mote such as falls, crashes, seismic activity or even chek the amount of the  mote vibration movement to measure special events.

Here we have the classic presence detector built in a SquidBee mote. We use a PIR sensor integrated with an on-board circuitry and a Fresnel lens, suitable for detecting presence from anything emitting infrared radiation up to a distance of 6m, and connect it to a wireless emitter in order to receive the corresponding alarm. The mote is also prepared to remain in a low-consumption state, resulting in a perfect device for battery-powered applications.

Reading this article you will learn about the ways to keep the ip degree of enclosures which have  important componentes connected to the pcb outside them. We also talk about the advantages that this solutions gives to the company.

We have developed a SONAR mote for detecting presence and measuring distances up to 6.45m. It is constructed from an integrated ultrasound sensor placed into a SquidBee mote which wirelessly outputs range values whenever there is any moving object within the monitored area.

In this article we are going to show how to improve a SquidBee mote adding GPS position using the GPS module from Libelium. To the three usual sensors (temperature, humidity and light) now we add the physical position as a sensor. With this improvement into the motes our sensor network is able to provide the coordinates of each node in real time.