Energy efficiency of decentralized estimation in wireless sensor networks

Hiroyuki Ohkura; Satoshi Honda

doi:10.1145/2637064.2637105

Energy efficiency of decentralized estimation in wireless sensor networks

Hiroyuki Ohkura, Satoshi Honda

Department of Applied Physics and Physico-Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

For WSNs, it is important to improve the accuracy of decentralized estimation and reduce energy consumption however difficult to achieve both of these goals at the same time. In this paer, a Kalman filtering approach with quantization of innovation processes is used for such purposes by following preceeding researches and showing another direction to attain new insights about the balance between energy efficiency and improvement of decentralized estimation.

Original language	English
Title of host publication	IWWISS 2014 - International Workshop on Web Intelligence and Smart Sensing
Publisher	Association for Computing Machinery
ISBN (Print)	9781450327473
DOIs	https://doi.org/10.1145/2637064.2637105
Publication status	Published - 2014
Event	2014 International Workshop on Web Intelligence and Smart Sensing, IWWISS 2014 - Saint Etienne, France Duration: 2014 Sept 1 → 2014 Sept 2

Publication series

Name	ACM International Conference Proceeding Series

Other

Other	2014 International Workshop on Web Intelligence and Smart Sensing, IWWISS 2014
Country/Territory	France
City	Saint Etienne
Period	14/9/1 → 14/9/2

Keywords

Kalman filter
distributed state estimation
innovation process

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/2637064.2637105

Cite this

Ohkura, H & Honda, S 2014, Energy efficiency of decentralized estimation in wireless sensor networks. in IWWISS 2014 - International Workshop on Web Intelligence and Smart Sensing. ACM International Conference Proceeding Series, Association for Computing Machinery, 2014 International Workshop on Web Intelligence and Smart Sensing, IWWISS 2014, Saint Etienne, France, 14/9/1. https://doi.org/10.1145/2637064.2637105

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abstract = "For WSNs, it is important to improve the accuracy of decentralized estimation and reduce energy consumption however difficult to achieve both of these goals at the same time. In this paer, a Kalman filtering approach with quantization of innovation processes is used for such purposes by following preceeding researches and showing another direction to attain new insights about the balance between energy efficiency and improvement of decentralized estimation.",

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year = "2014",

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language = "English",

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AU - Honda, Satoshi

PY - 2014

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N2 - For WSNs, it is important to improve the accuracy of decentralized estimation and reduce energy consumption however difficult to achieve both of these goals at the same time. In this paer, a Kalman filtering approach with quantization of innovation processes is used for such purposes by following preceeding researches and showing another direction to attain new insights about the balance between energy efficiency and improvement of decentralized estimation.

AB - For WSNs, it is important to improve the accuracy of decentralized estimation and reduce energy consumption however difficult to achieve both of these goals at the same time. In this paer, a Kalman filtering approach with quantization of innovation processes is used for such purposes by following preceeding researches and showing another direction to attain new insights about the balance between energy efficiency and improvement of decentralized estimation.

KW - Kalman filter

KW - distributed state estimation

KW - innovation process

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U2 - 10.1145/2637064.2637105

DO - 10.1145/2637064.2637105

M3 - Conference contribution

AN - SCOPUS:84907069574

SN - 9781450327473

T3 - ACM International Conference Proceeding Series

BT - IWWISS 2014 - International Workshop on Web Intelligence and Smart Sensing

PB - Association for Computing Machinery

T2 - 2014 International Workshop on Web Intelligence and Smart Sensing, IWWISS 2014

Y2 - 1 September 2014 through 2 September 2014

ER -

Energy efficiency of decentralized estimation in wireless sensor networks

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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