Special Issue Article Open Access

Design of Energy Aware Data Processing Architecture for Wireless Sensor Nodes

Abstract

Wireless Sensor Networks (WSN) has become a very significant enabling technology in civil, military, radio communication and medical applications for collecting and processing of complex environmental data. Radio communication has highest energy consumption in wireless sensor nodes. Sensor nodes are battery driven and have lifetime on the order of months to years. Hence, energy consumption is the important factor in determining sensor nodes lifetime. To reduce the number of processing elements in sensor nodes, folded tree architecture is used. Here proposing, DVFS (Dynamic Voltage and Frequency Scaling) algorithm is used along with folded tree architecture to reduce power and to improve performance of sensor nodes. As wireless nodes are expensive to buy replace it’s important to increase life time of nodes in order to increase life time of nodes we are going to use folded tree architecture.to reduce power in wireless sensor node by using reused technology of PES(processing elements).in previous works they used 2N number of PES. In our project we used half amount of PE. Software used xilinix, proposed to work –combination of energy saving algorithm and hardware decreases power and increases node life time.

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