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Power control schemes in wireless sensor networks for homecare e-health applications

Authors:

Nikolaos A. Pantazis,

Dimitrios D. Vergados,

Nikolaos I. Miridakis,

Dimitrios J. VergadosAuthors Info & Claims

PETRA '08: Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments

Article No.: 85, Pages 1 - 8

https://doi.org/10.1145/1389586.1389683

Published: 16 July 2008 Publication History

Abstract

Power control is an important research topic for ad-hoc Wireless Sensor Networks (WSNs). In today's sophisticated and competitive wireless environment, the control of the energy consumption in a WSN for homecare e-health makes it possible to guarantee basic levels of system performance, such as connectivity, throughput, delay, QoS and survivability in the presence of both mobility-immobility and a large number of sensor nodes. Recent advances in sensor fabrication technology, low-power digital and analogue electronics, and low-power wireless communication systems have made it possible to develop low-cost, robust and survivable WSNs to support activities such as assisted living and ambient intelligence (Aml). A large variety of approaches for intelligent energy-efficient schemes have been simulated over different performance metrics. In this paper, various decision support schemes are proposed evaluating the selection of different network infrastructures in terms of routing optimization and signal strength selection.

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Cited By

Ren JZheng JGuo XSong TWang XWang SZhang W(2024)MeFi: Mean Field Reinforcement Learning for Cooperative Routing in Wireless Sensor NetworkIEEE Internet of Things Journal10.1109/JIOT.2023.328988811:1(995-1011)Online publication date: 1-Jan-2024
https://doi.org/10.1109/JIOT.2023.3289888
MANAP GDEMİR A(2022)Hayati Sağlık Verilerinin CoAP Observe Yöntemi ile İletilmesi ve AnaliziTransmitting and Analysis of Vital Health Data with CoAP Observe MethodBilişim Teknolojileri Dergisi10.17671/gazibtd.100283915:2(107-118)Online publication date: 30-Apr-2022
https://doi.org/10.17671/gazibtd.1002839
Zheng JGuo XLiao JSun CSong TRen JZhang PLiu S(2022)MARTO: A Multi-agent Deep Reinforcement Learning Based Online Topology Optimization Scheme for Wireless Sensor Network2022 IEEE 22nd International Conference on Communication Technology (ICCT)10.1109/ICCT56141.2022.10073203(817-823)Online publication date: 11-Nov-2022
https://doi.org/10.1109/ICCT56141.2022.10073203
Show More Cited By

Index Terms

Power control schemes in wireless sensor networks for homecare e-health applications
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems
2. Hardware
  1. Communication hardware, interfaces and storage
    1. Signal processing systems

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Information

Published In

cover image ACM Other conferences

PETRA '08: Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments

July 2008

607 pages

ISBN:9781605580678

DOI:10.1145/1389586

Editors:
Fillia Makedon
University of Texas at Arlington
,
Lynne Baillie
Telecom Research Center Vienna (FTW), Austria
,
Grammati Pantziou
TEI of Athens (Department of Informatics), Greece
,
Ilias Maglogiannis
University of Central Greece (Department of Computer Science and Biomedical Informatics), Greece

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Motorola: Motorola
NSF
SERC: SERC
NIST: National Institute of Standards & Technology

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 July 2008

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PETRA '08

Sponsor:

Motorola
SERC
NIST

PETRA '08: The 1st International Conference on PErvasive Technologies Related to Assistive Environments

July 16 - 18, 2008

Athens, Greece

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Cited By

Ren JZheng JGuo XSong TWang XWang SZhang W(2024)MeFi: Mean Field Reinforcement Learning for Cooperative Routing in Wireless Sensor NetworkIEEE Internet of Things Journal10.1109/JIOT.2023.328988811:1(995-1011)Online publication date: 1-Jan-2024
https://doi.org/10.1109/JIOT.2023.3289888
MANAP GDEMİR A(2022)Hayati Sağlık Verilerinin CoAP Observe Yöntemi ile İletilmesi ve AnaliziTransmitting and Analysis of Vital Health Data with CoAP Observe MethodBilişim Teknolojileri Dergisi10.17671/gazibtd.100283915:2(107-118)Online publication date: 30-Apr-2022
https://doi.org/10.17671/gazibtd.1002839
Zheng JGuo XLiao JSun CSong TRen JZhang PLiu S(2022)MARTO: A Multi-agent Deep Reinforcement Learning Based Online Topology Optimization Scheme for Wireless Sensor Network2022 IEEE 22nd International Conference on Communication Technology (ICCT)10.1109/ICCT56141.2022.10073203(817-823)Online publication date: 11-Nov-2022
https://doi.org/10.1109/ICCT56141.2022.10073203
Patel JEl-Ocla H(2021)Energy Efficient Routing Protocol in Sensor Networks Using Genetic AlgorithmSensors10.3390/s2121706021:21(7060)Online publication date: 25-Oct-2021
https://doi.org/10.3390/s21217060
Kannadhasan SKarthiKeyan GSethupathi V(2013)A graph theory based energy efficient clustering techniques in wireless sensor networks2013 IEEE CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES10.1109/CICT.2013.6558080(151-155)Online publication date: Apr-2013
https://doi.org/10.1109/CICT.2013.6558080
Lin KWang LShu LKhan Pathan A(2012)Data Gathering with Multi-Attribute Fusion in Wireless Sensor NetworksAdvancements in Distributed Computing and Internet Technologies10.4018/978-1-61350-110-8.ch008(159-181)Online publication date: 2012
https://doi.org/10.4018/978-1-61350-110-8.ch008
Lin KChen MZeadally SRodrigues J(2012)Balancing energy consumption with mobile agents in wireless sensor networksFuture Generation Computer Systems10.1016/j.future.2011.03.00128:2(446-456)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.1016/j.future.2011.03.001
Velempini MDlodlo M(2010)An RTS Based Data Channel Reservations and Access Scheme in Multi-Channel SystemsAd Hoc Networks10.1007/978-3-642-11723-7_40(592-606)Online publication date: 2010
https://doi.org/10.1007/978-3-642-11723-7_40
Miridakis NGiotsas VVergados DDouligeris C(2009)A Novel Power-Efficient Middleware Scheme for Sensor Grid ApplicationsQuality of Service in Heterogeneous Networks10.1007/978-3-642-10625-5_30(476-492)Online publication date: 2009
https://doi.org/10.1007/978-3-642-10625-5_30

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