relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2681/
title: ATTS-DF: Adaptive Tracking Solution to the Target for Data Fusion in Wireless Sensor Networks
creator: Duong, Viet Huy
creator: Nguyen, Dinh Viet
subject: Information Technology (IT)
description: Wireless sensor networks are composed of many sensor nodes limited to residual energy. The sensor nodes are randomly scattered within in the ranger monitoring and sending - receiving data by radio waves. The measured data often contains the same information, and sending to base station causes the waste of energy of sensor nodes and the risk of congestion. According to the statistics, the energy consumed  by transceiver radio signals is many times greater than the  energy consumes to process other tasks of sensor node including the calculation on the sensor node. In this paper, we propose algorithms installed on the sensor nodes to monitor non-cyclical target fixed, which base on the fluctuation of the target when it exceeds the threshold. Moreover, algorithm control sensor nodes measures just in time fluctuations exceeded targets need to measure.  Keywords— adaptive tracking, data fusion, ATTS-DF, WSNs
date: 2017-07-21
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2681/1/ICSSE2017_paper.pdf
identifier:   Duong, Viet Huy and Nguyen, Dinh Viet  (2017) ATTS-DF: Adaptive Tracking Solution to the Target for Data Fusion in Wireless Sensor Networks.  In: IEEE International Conference on System Science and Engineering, ICSSE2017, 21-23 July 2017, Ho Chi Minh City, Vietnam.