A wireless sensor network (WSN) consists of hundreds to thousands of low-power multi-functional sensor nodes, operating in an unattended environment, and having sensing, computation and communication capabilities. The basic components [1] of a node are a sensor unit, an
ADC (Analog to Digital Converter), a CPU (Central processing unit), a power unit and a
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Sensors 2010, 10 10507 communication unit. Sensor nodes are micro-electro-mechanical systems [2] (MEMS) that produce a measurable response to a change in some physical condition like temperature and pressure. Sensor nodes sense or measure physical data of the area to be monitored. The continual analog signal sensed by the sensors is digitized by an analog-to-digital converter and sent to controllers for further processing. Sensor nodes are of very small size, consume extremely low energy, are operated in high volumetric densities, and can be autonomous and adaptive to the environment. The spatial density of sensor nodes in the field may be as high as 20 nodes/m3
.As wireless sensor nodes are typically very small electronic devices, they can only be equipped with a limited power source [3]. Each sensor node has a certain area of coverage for which it can reliably and accurately report the particular quantity that it is observing. Several sources of power consumption in sensors are: (a) signal sampling and conversion of physical signals to electrical ones; (b) signal conditioning, and (c) analog-to-digital
• The impulses are sent to a signal-processing unit, a circuit board with a dedicated chip that translates the information from the elements into data for the display.
The key element facet of wireless sensor node would be to reduce the energy taken by the system. Generally, radio stations subsystem involves the large amount of power for connecting in the network. This really is why we delivered the data around radio stations system when it's required. An algorithm is filled to the node to find out when to provide the data based on sensed event. Moreover, it is vital to lessen the energy consumption by the node itself. Therefore, the apparatus should be made allowing the microprocessor to judiciously control power to radio, sensor, and sensor indicate conditioner.
The sensor releases a pulse of light, known as the trigger, and computes the time taken for the signal to be received. The distance the signal has travelled can be directly calculated from this data. Light and sound are the most common types of signals used with this technique [1].
Microwave motion sensing: Such systems send out microwaves that bounce off an object and return to the sensors.
In the past few years, wireless sensor networks (WSNs) technology has been successfully applied in military, environment, medical, home,
Radio Frequency Identification (RFID) and Wireless sensor networks (WSNs) are two of the significant systems used in
Most of the signals from sensors are in time series form for example vibration signal, temperature signal and current signal of an induction motor. Time-domain
There are generally 2 types of architectures in WSNs. (i) Hierarchical and (ii) Distributed. In a Hierarchical WSN, A base station is a gateway to another network with some other base station to a data processing and storage center, or a human interface node point. Base point takes data from sensors send it to processing unit and that data is sent to the human interface node point. Therefore, base stations are used as key distribution centers as they are connected every other node in network. Sensor nodes form a dense network in form of clusters where a cluster of sensors lying in a specific area may provide similar or close readings of data. Not all node gets the power from power unit few sensor nodes depend on the ad hoc communication to reach base stations.
Sensor: It is a transducer that converts physical phenomenon e.g. heat, light, motion, vibration, and sound into electrical signals.
However, a group of sensors collaborating with each other can accomplish a much bigger task efficiently. They can sense and detect desired events/data from a field of interest, and then communicate with each other in an optimal fashion to perform data aggregation, and then route the aggregated data to sinks or base stations that can make application-specific decisions and link to the outside world via the Internet or satellites. One of the primary advantages of deploying a wireless sensor network is its ease-deployment and freedom from having a complicated wired communication backbone that is often inconvenient of deployment in the remote area.
For achieving this goal, physical deployment of the nodes and the sample periods are pre-determined by the scientists. To ensure that data is delivered as expected is the real role of the network. For achieving this goal it is necessary to reduce the network complexity as much as possible from the services and its application. It is possible to optimize communication performance for that application-not for a generic set of users as each node executes a single application. For achieving this it is necessary to translate them into a set of goals for media access protocol to satisfy the requirement of wireless sensor network deployment and monitoring application. For WSNs application, the common goals for a MAC protocol are:
Taking an example of any factory, a temperature sensor deployed on critical machines on the floor can send readings before a failure is about to happen and action can be taken before in hand. Likewise, deploying a sensor on oil pipelines can raise an alert and slow down or stop the pumping of oil as a response to the alert which can help prevent a huge loss.
A study conducted by Intechno Consulting [ ] shows that the non-military, open market for sensors grew from EUR 81.6 billion in 2006 to EUR 119.4 billion in 2011 and can be expected to grow to EUR 184.1 billion until 2016. This equates to an annual average growth of 8.5%. Of the EUR 184.4 billion EUR global market for sensors in 2016, 9.7% will go to the machinery industries, 8.9% to the process industries, and 22.8% to the vehicle industries including airplanes, ships and rail vehicles.
This sensed signal is then converted into power spectral density and the compared with reference value of our convenience. Accordingly the compared value is processed using a microprocessor, which sends appropriate signals to the main node. Thus the stranger is identified at the main node. A series of interface, signal processing, and communication systems have been implemented in micro power CMOS circuits. A micro power spectrum analyzer has been developed to enable low power operation of the entire WINS system. Thus WINS require a Microwatt of power. But it is very cheaper when compared to other security systems such as RADAR under use. It is even used for short distance communication less than 1 Km. It produces a less amount of delay. Hence it is reasonably faster. On a global scale, WINS will permit monitoring of land, water, and air resources for environmental monitoring. On a national scale, transportation systems, and borders will be monitored for efficiency, safety, and security.
A sensor is a device that measures a physical quantity and converts it into a signal which can be read by an observer or by an (today mostly electronic) instrument. We have so many types of sensors in that soil moisture sensor are the one which measures water content present in