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Bibliographic record number: 694763

Journal

Authors: Horvat, Goran; Krpić, Zdravko; Žagar, Drago
Title: Power Consumption Analysis and Optimization of ARM based WSN Data Aggregation Node
( Power Consumption Analysis and Optimization of ARM based WSN Data Aggregation Node )
Source: Proceedings of 37th International Conference on Telecommunications and Signal Processing (TSP)Berlin :
Meeting: 37th International Conference on Telecommunications and Signal Processing (TSP)
Location and date: Berlin, Njemačka, 1-3.07.2014
Keywords: Wireless Sensor Networks; Data Aggregation; Power consumption optimization; Embedded system; QoS
( Wireless Sensor Networks; Data Aggregation; Power consumption optimization; Embedded system; QoS )
Abstract:
Wireless Sensor Network (WSN) power optimization is an ongoing research issue directed towards achieving low power consumption while retaining desired performance. Various techniques for such optimization exist, oriented at different levels of a WSN. One approach is a data aggregation method for an application oriented WSN. This technique involves in-network data aggregation allowing a faster information delivery, saving a transmission energy and reducing a network congestion. The data aggregation method implies replacing a network coordinator with the data aggregation node capable of processing aggregated data. In this paper we propose ARM architecture-based WSN Data Aggregation Node (A-WDAN), capable of an aggregated data processing and a faster data delivery. Considering WSN energy constrains, the proposed work analyzes and provides a power optimization of the WSN data aggregation node. The obtained results show that A-WDAN consumes less energy on site, enabling a more efficient data aggregation processing which uses less energy for RF data transmission.
Type of meeting: Predavanje
Type of presentation in a journal: Full-text (1500 words and more)
Type of peer-review: International peer-review
Project / theme: 165-0362027-1479
Original language: eng
Category: Znanstveni
Research fields:
Electrical engineering,Computer science
Contrib. to CROSBI by: Goran Horvat (goran.horvat@etfos.hr), 23. Tra. 2014. u 17:34 sati



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