Examples of wireless Sensor network
Mentioned are a few of the sensor network appplication:
Area monitoring is the most common application of a SN. In area monitoring, a SN is installed over an are where some phenomenon has to be monitored. For example, a military use is to have sensors detect enemy intrusion; while a civilian example would be the geo-fencing of oil or gas pipelines.
When these sensors detect the phenomenon that is being monitored - heat, pressure, etc - the event is transferred to one of the base stations, which takes appropriate action the (for example, send a message to a satellite or on the internet). Similarly, a wireless sensor network can utilize a range of sensors and detect the presence of vehicles as small as motorcycles or as big as train cars.
The concept of Environmental Sensor Networks has come to denote many applications of a SN to earth scientific research. That includes sensing oceans , glaciers, volcanoes, forests, etc. Some of the other major areas are included below:
Air pollution monitoring
Wireless sensor networks have recently been installed in several cities (Brisbane, Stockholm or London) to monitor the presence of dangerous gases for the citizens. Those could take advantage of ad-hoc wireless links and not the expensive, cumbersome wired installations, which makes them more mobile when testing readings in a different area.
Forest fires detection
A network of Sensor Nodes could be installed in many forests to detect if a fire has been started. The nodes could be fitted with sensors to measure the humidity, temperature and that which are produced by the trees or vegetation engulfed in flames. This early detection is vital for a successful reply by the firefighters. Thanks to the Wireless Sensor Network, the fire brigade is able to know if a fire has started and the speed with which it spreads.
Wireless sensor networks are also utilized to control the humidity levels and temperature inside commercial greenhouses. If the humidity and temperature drop below predetermined levels, the person in charge of the greenhouse wil be notified via a cell phone text message or e-mail, or the host systems could trigger misting systems, turn fans on, open vents and control a wide selection of system responses.
The landslide detection system makes use of the wireless sensor network to sense the slightest movements of the soil and any changes in various parameters which may occur during or before a landslide. And through this data gathered it might be possible to predict the occurrence of a landslide long before it really happens.
Machine health monitoring
Wireless sensor networks have been created for machine condition-based maintenance (CBM) because they offer a significant cost saving and enable new functionality. With wired systems, the installation of the needed sensors is limited, often by the sheer cost of wiring them. Previously inaccessible locations like rotating machinery, restricted or hazardous areas, and mobile assets are now reachable with wireless sensors.
There are many opportunities to use wireless sensor networks in the water and wastewater industries. Facilities not wired for data or power transmission could be monitored with industrial wireless I/O sensors and devices powered with battery packs or solar panels and also be used in the pollution control board.
Utilizing wireless sensor networks in the agricultural industry is becoming more common as the wireless network frees farmers from maintaining the wiring in difficult environmental conditions. A gravity feed water system can also be monitored with pressure transmitters to oversee water tank levels, and pumps can be monitored with wireless I/O devices while water use could be measured in wirelessly transmitted data back to the central control center to bill the customer. Irrigation automation enables a more efficient water usage and reduced waste.
Wireless sensors could be used to control the movement in buildings and infrastructures such as bridges, embankments, flyovers, tunnels etc., thus enabling engineering practices to oversee assets remotely without the need to pay costly site visits, while having the advantage to receive daily data, because traditionally the data was collected monthly or weekly, with physical site visits that involve either rail or road closure in some areas. It is far more accurate than a visual inspection which is carried out.