ENERGY-AWARE SENSOR NODE DESIGN WITH ITS APPLICATION IN WIRELESS SENSOR NETWORKS

Energy-Aware Sensor Node Design With Its

Application in Wireless Sensor Networks

            Rapid development of system miniaturization, wireless Communication, and on-chip signal processing has Promoted the development of wireless sensor technology, which has enabled its wide applications from condition based Maintenance to industrial system monitoring and environmental sensing. The number of wireless sensors, which are typically considered as a wireless sensor network (wsn), deployed for real-life applications has rapidly increased. In recent years, and this trend is expected to even more

Increase in the next years, energy consumption Still remains as a major obstacle for the full deployment and exploitation of this technology, although batteries can be recharged, E.g., through solar-energy-harvesting mechanisms. The traffic-adaptive medium access protocol has been designed to reduce energy consumption by allowing sensor nodes to assume a low-power idle state whenever they are not working In transmission or receiving mode. Data-driven approaches can be divided into two different categories: data compression and energy-efficient data acquisition. As an example, a variable Data length coding method using Walsh function was developed to compress the transmission data, and this has been proved to be effective in improving energy efficiency in signal transmission.

            In another, the sensor network was divided into several subsystems, and only high-level inferences are communicated between the subsystems. In this way, the energy Consumption for communication decreases as the data to be Transmitted decrease. For energy-efficient data acquisition, an adaptive sampling algorithm consisting of duty cycling (the Sensor board is switched off between two consecutive samples) And adaptive sampling (the optimal sampling frequency is estimated online) is proposed to reduce energy consumption In a sensor network.

EXISTING SYSTEM

            In recent years data acquisition and processing have an energy consumption that is significantly lower than communication. In addition, since each of the sensor nodes in the network is energy constrained and each component in a sensor node consumes a certain amount of energy, power supply becomes important to ensure proper operation of the entire WSN as the number of sensors deployed in a network grows. Hence, constructing effective network structures for the application of WSN with consideration of energy efficiency is of critical importance.

DISADVANTAGE

Ø  Cabled measurement points.

Ø  Measurement system expensive and vulnerable.

Ø  Installation cost and difficult to maintain

PROPOSED SYSTEM

The sensors are grouped into different clusters, and then obtained data from each sensor node are transmitted to the corresponding cluster head (it is defined as the sensor node that collects the data from others in the cluster). Then, the cluster head will pack the data and transmit them to the CMU. Although the energy consumption of each sensor node is individually minimized by its associate functional modules, the total energy consumption can be further reduced by using the appropriate sensing scheme for the whole sensor network. Each sensor node should be able to collect environmental parameters and communicate with each other.

ADVANTAGE

Ø  Multi-hop routing schemes.

Ø  low-power hardware

HARDWARE REQUIREMENTS

§  MICROCONTROLLER  UNIT

§  ADC

§  UART

§  WIRELESS SENSOR NETWORK

§  TEMPERATURE SENSOR

§  humitity  SENSOR

§  gas sensor

§  ldr sensor

§  PC

SOFTWARE REQUIREMENTS

§  KEIL COMPILER

§  EMBEDDED C.

§  VISUAL BASIC

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