A Wireless Sensor Network (WSN) is a computer network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants, at different locations. The development of wireless sensor networks was originally motivated by military applications such as battlefield surveillance. However, wireless sensor networks are now used in many civilian application areas, including environment and habitat monitoring, healthcare applications, home automation, and traffic control.
In addition to one or more sensors, each node in a sensor network is typically equipped with a radio transceiver or other wireless communications device, a small microcontroller, and an energy source, usually a battery. The size of a single sensor node can vary from shoebox-sized nodes down to devices the size of grain of dust. The cost of sensor nodes is similarly variable, ranging from hundreds of dollars to a few cents, depending on the size of the sensor network and the complexity required of individual sensor nodes. Size and cost constraints on sensor nodes result in corresponding constraints on resources such as energy, memory, computational speed and bandwidth
Wireless Sensor Networks (WSN) have wide and varied applications. A smart sensor is a collection of integrated sensors and electronics. When these types of sensors are used in WSNs, very powerful, versatile networks can be created and used in situations where traditional wired networks fail. These sensor networks can be used for emission monitoring systems in the harsh environment of automobile exhaust systems or in large buildings for more consistent climate control. Research is already being conducted with respect to low-power dissipation for deep space missions. While the space station research is concentrating on direct networks, this would be an excellent case were the flexibility of wireless networking could be aptly applied.
Before we can use WSN in these applications, however, we need to overcome several obstacles, including limited energy, computational power, and communication resources available to the sensors in the network.
A wireless smart sensor network node can include MEMS components such as sensors, RF components, actuators, or CMOS building blocks such as interface pads, data fusion circuitry, specialized and general purpose signal processing engines or micro-controllers. These individual nodes can be resource-aware – expose their system resources to other node over the network and manage to reduce participation in the network, and resource-adaptive – can adapt to the environment that they are in and change the way they communicate with other nodes. More important than the individual data in a wireless sensor network is the aggregate data that the network contains, for this gives a clear, multi-dimensional view of the sensing environment.