Energy efficient routing algorithm for patient monitoring in body sensor networks

Wireless body sensor networks are widely used for monitoring individuals in assisted living facilities and has emerged as a promising technology in e-healthcare. Such networks consist of sensors on the body or clothing of an individual for measuring vital signals such as heart beat, body temperature...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Proceedings (International Conference on Wearable and Implantable Body Sensor Networks : Print) S. 141 - 146
1. Verfasser: Rajagopalan, Ramesh
Format: Tagungsbericht Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.06.2016
Schlagworte:
ISSN:2376-8894
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract Wireless body sensor networks are widely used for monitoring individuals in assisted living facilities and has emerged as a promising technology in e-healthcare. Such networks consist of sensors on the body or clothing of an individual for measuring vital signals such as heart beat, body temperature, and electrocardiogram. This enables patients to experience greater physical mobility and independence eliminating the need to stay in the hospital. Efficient and reliable transmission of data from on body sensors to medical personnel via multi-hop routing is critical for continuous health monitoring. In this paper, we propose a new routing algorithm for energy efficient routing in body sensor networks for reliable health monitoring. We model the routing problem as a constrained multi-objective optimization problem maximizing the throughput while minimizing the energy consumption subject to a constraint on end to end latency. We have designed a new constrained multi-objective genetic algorithm (CMOGA) for obtaining energy efficient routes. Simulation results show that CMOGA demonstrates the advantages of multi-objective optimization and outperforms a widely used and well known multi-objective evolutionary algorithm.
AbstractList Wireless body sensor networks are widely used for monitoring individuals in assisted living facilities and has emerged as a promising technology in e-healthcare. Such networks consist of sensors on the body or clothing of an individual for measuring vital signals such as heart beat, body temperature, and electrocardiogram. This enables patients to experience greater physical mobility and independence eliminating the need to stay in the hospital. Efficient and reliable transmission of data from on body sensors to medical personnel via multi-hop routing is critical for continuous health monitoring. In this paper, we propose a new routing algorithm for energy efficient routing in body sensor networks for reliable health monitoring. We model the routing problem as a constrained multi-objective optimization problem maximizing the throughput while minimizing the energy consumption subject to a constraint on end to end latency. We have designed a new constrained multi-objective genetic algorithm (CMOGA) for obtaining energy efficient routes. Simulation results show that CMOGA demonstrates the advantages of multi-objective optimization and outperforms a widely used and well known multi-objective evolutionary algorithm.
Author Rajagopalan, Ramesh
Author_xml – sequence: 1
  givenname: Ramesh
  surname: Rajagopalan
  fullname: Rajagopalan, Ramesh
  email: ramesh@stthomas.edu
  organization: Univ. of St. Thomas, St. Paul, MN, USA
BookMark eNot0DtPwzAUBWCDQKIt3ZFYPLKk-BHbNyNU5SFVIATMkZPYxZDYxXaF-u-JoNOVzvl0hjtFJz54g9AFJQtKSXV9-_q0YITKhRJUshKO0JQKUhFOQIljNGFcyQKgKs_QPKVPQginAEDlBL2svImbPTbWutYZn3EMu-z8But-E6LLHwO2IeKtzn_tELzLYz4C53ETuj1OxqdReJN_QvxK5-jU6j6Z-eHO0Pvd6m35UKyf7x-XN-vCMQK56BpledM1nQAuO8EbBZIpQnTZgK4odGC15m3DeKu0EhJISzuqjFW8FLYEPkNX_7vbGL53JuV6cKk1fa-9CbtUU-BCUlIyOtLLf-qMMfU2ukHHfX14Fv8FeulgLg
ContentType Conference Proceeding
Journal Article
DBID 6IE
6IL
CBEJK
RIE
RIL
7SP
8FD
L7M
DOI 10.1109/BSN.2016.7516248
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
Electronics & Communications Abstracts
Technology Research Database
Advanced Technologies Database with Aerospace
DatabaseTitle Technology Research Database
Advanced Technologies Database with Aerospace
Electronics & Communications Abstracts
DatabaseTitleList Technology Research Database

Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISBN 1509030875
9781509030873
EISSN 2376-8894
EndPage 146
ExternalDocumentID 7516248
Genre orig-research
GroupedDBID 6IE
6IF
6IH
6IK
6IL
6IN
AAJGR
ABLEC
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
IPLJI
OCL
RIE
RIL
7SP
8FD
L7M
ID FETCH-LOGICAL-i208t-db7f3bdbd5836d53b7862700a4b8a918d8faa3cb23c7a75680c1d17ef7345f483
IEDL.DBID RIE
ISICitedReferencesCount 8
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000391251700026&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Thu Oct 02 05:43:20 EDT 2025
Wed Aug 27 02:11:24 EDT 2025
IsPeerReviewed false
IsScholarly true
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i208t-db7f3bdbd5836d53b7862700a4b8a918d8faa3cb23c7a75680c1d17ef7345f483
Notes ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
ObjectType-Feature-3
content type line 23
SourceType-Conference Papers & Proceedings-2
PQID 1835610421
PQPubID 23500
PageCount 6
ParticipantIDs proquest_miscellaneous_1835610421
ieee_primary_7516248
PublicationCentury 2000
PublicationDate 20160601
PublicationDateYYYYMMDD 2016-06-01
PublicationDate_xml – month: 06
  year: 2016
  text: 20160601
  day: 01
PublicationDecade 2010
PublicationTitle Proceedings (International Conference on Wearable and Implantable Body Sensor Networks : Print)
PublicationTitleAbbrev BSN
PublicationYear 2016
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0003188816
Score 2.0087295
Snippet Wireless body sensor networks are widely used for monitoring individuals in assisted living facilities and has emerged as a promising technology in...
SourceID proquest
ieee
SourceType Aggregation Database
Publisher
StartPage 141
SubjectTerms Algorithm design and analysis
Algorithms
Body sensor networks
Computer networks
Constraints
Energy consumption
Monitoring
multi-objective optimization
Networks
Optimization
Patients
Routing
Routing (telecommunications)
sensor networks
Sensors
wireless patient monitoring
Title Energy efficient routing algorithm for patient monitoring in body sensor networks
URI https://ieeexplore.ieee.org/document/7516248
https://www.proquest.com/docview/1835610421
WOSCitedRecordID wos000391251700026&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwELbaigEWHi2ivGQkRtIm8TMrqBUDqooAqVtkxw5UognKA4l_j-2EgAQLmwefZZ3PPp_vu88AXGpJqCYh9owzZx5WSHsilNKLUl8bb4ZpoB3P7B1bLPhqFS174KqrhdFaO_CZntimy-WrPKntU9mUkYCGmPdBnzHW1Gp17ynGNjkPukykH02vHxYWukUnrVj7f8qvQ9d5kvnu_-awB0bfJXlw2TmbfdDT2QHY-cEmOAT3M1fHB7VjhTCjwCKvLaoZitfnvFhXLxtorqiwpVKFG7edrSxcZ1Dm6gOWJqg1PbIGG16OwNN89nhz67U_Jnjr0OeVpyRLkVRSEY6oIkgyE7Aw3xdYchEFXPFUCJTIECVMMEK5nwQqYDplCJMUc3QIBlme6SMAA2oCIYJ8rBIbcwmZckKxEmY4pphkYzC0yonfGlKMuNXLGFx8aTc2hmqzDyLTeV3G5uywdzUcBsd_i56AbbtcDQ7rFAyqotZnYCt5r9Zlce5W-xPGoqyO
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dS8MwED_mFNQXPzZxfkbw0W5tkzTpq7IxcY6JE_ZWkibVgWtlXQX_e5OuTkFffMtDLoS7JJfL_e4XgEstaaCpTxzjzJlDFNaO8KV0wsTVxpuRwNMlz-yADYd8MglHNbha1cJorUvwmW7bZpnLV1lc2KeyDqNe4BO-BuuUEN9bVmutXlTM6uTcW-Ui3bBz_Ti04K2gXQlWP6j8OnZLX9Lb-d8sdqH5XZSHRit3swc1ne7D9g8-wQY8dMtKPqRLXggzCppnhcU1I_H6nM2ni5cZMpdUVJGpolm5oa0smqZIZuoD5SasNT3SJTo8b8JTrzu-6TvVnwnO1Hf5wlGSJVgqqSjHgaJYMhOyMNcVRHIRelzxRAgcSx_HTDAacDf2lMd0wjChCeH4AOpplupDQF5gQiGKXaJiG3UJmXAaECXMcEwxyVrQsMqJ3pa0GFGllxZcfGk3MkvV5h9EqrMij8zpYW9rxnJHf4uew2Z_fD-IBrfDu2PYsqZborJOoL6YF_oUNuL3xTSfn5WW_wTrAa_V
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=proceeding&rft.title=Proceedings+%28International+Conference+on+Wearable+and+Implantable+Body+Sensor+Networks+%3A+Print%29&rft.atitle=Energy+efficient+routing+algorithm+for+patient+monitoring+in+body+sensor+networks&rft.au=Rajagopalan%2C+Ramesh&rft.date=2016-06-01&rft.pub=IEEE&rft.eissn=2376-8894&rft.spage=141&rft.epage=146&rft_id=info:doi/10.1109%2FBSN.2016.7516248&rft.externalDocID=7516248