nesC-TinyOS model for parallel and distributed computation of max independent set by Hopfield network on wireless sensor network

This paper, the second one in a three-paper sequence, presents the nesC model of a Hopfield neural network configured for a static optimization problem, the maximum independent set, in fully parallel and distributed mode for TinyOS-based wireless sensor networks. Actual nesC code that implements the...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Procedia computer science Ročník 6; s. 396 - 401
Hlavní autoři: Li, Jiakai, Serpen, Gursel
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 2011
Témata:
Hopfield neural network
maximum independent set problem
nesC
parallel and distributed computation
static optimization
TinyOS
wireless sensor network
nesC
TinyOS
parallel and distributed computation
wireless sensor network
static optimization
Hopfield neural network
maximum independent set problem
ISSN:1877-0509, 1877-0509
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract This paper, the second one in a three-paper sequence, presents the nesC model of a Hopfield neural network configured for a static optimization problem, the maximum independent set, in fully parallel and distributed mode for TinyOS-based wireless sensor networks. Actual nesC code that implements the required neural computing functionality is presented. The graph representation of the maximum independent set problem is used as the basis for the topology of the Hopfield network as well as the wireless sensor network since each mote is conceived to house one neuron in order to facilitate fully parallel and distributed computation. The nesC implementation of a multitude of phases of computation is detailed including initialization of the neural network, relaxation, convergence detection, and solution detection all while the neural computations are performed on the wireless sensor network. Simulation of the presented nesC-TinyOS model is deferred to the third paper in the sequence.
AbstractList This paper, the second one in a three-paper sequence, presents the nesC model of a Hopfield neural network configured for a static optimization problem, the maximum independent set, in fully parallel and distributed mode for TinyOS-based wireless sensor networks. Actual nesC code that implements the required neural computing functionality is presented. The graph representation of the maximum independent set problem is used as the basis for the topology of the Hopfield network as well as the wireless sensor network since each mote is conceived to house one neuron in order to facilitate fully parallel and distributed computation. The nesC implementation of a multitude of phases of computation is detailed including initialization of the neural network, relaxation, convergence detection, and solution detection all while the neural computations are performed on the wireless sensor network. Simulation of the presented nesC-TinyOS model is deferred to the third paper in the sequence.
Author Li, Jiakai
Serpen, Gursel
Author_xml – sequence: 1
  givenname: Jiakai
  surname: Li
  fullname: Li, Jiakai
– sequence: 2
  givenname: Gursel
  surname: Serpen
  fullname: Serpen, Gursel
BookMark eNqFkM1OAyEQgImpibX2CbzwArvC_u_Bg2nUmpj0YD0TFoaEugsboNbefHSp7cF40DkwQ5hvyHyXaGKsAYSuKUkpodXNJh2dFT7NCKUpaVJSF2doSpu6TkhJ2smP-gLNvd-QGHnTtLSeok8DfpGstdmvXvBgJfRYWYdH7njfxws3Ekvtg9PdNoDEwg7jNvCgrcFW4YF_YG0kjBAPE7CHgLs9XtpRaeglNhB21r3h2L3TDnrwPvYYH784PV2hc8V7D_NTnqHXh_v1Ypk8rx6fFnfPiciLJiRdl6kslxRUy6uS17zKlYAqo3lTirLIcuCFUrIq6g5IVTdEZjUFUclKKpJ1Kp-h9jhXOOu9A8WEPu4RHNc9o4QdbLIN-7bJDjYZaVi0Gdn8Fzs6PXC3_4e6PVIQ13rX4JgXGowAGU2IwKTVf_JfIICV9g
CitedBy_id crossref_primary_10_1016_j_procs_2012_09_089
crossref_primary_10_1109_JIOT_2021_3064176
crossref_primary_10_1016_j_procs_2011_08_076
crossref_primary_10_1016_j_procs_2011_08_073
crossref_primary_10_1109_JSEN_2016_2519924
Cites_doi 10.1007/BF00339943
10.1016/j.procs.2011.08.073
10.1016/j.procs.2011.08.076
10.1145/1031495.1031508
10.1145/781131.781133
ContentType Journal Article
Copyright 2011
Copyright_xml – notice: 2011
DBID 6I.
AAFTH
AAYXX
CITATION
DOI 10.1016/j.procs.2011.08.074
DatabaseName ScienceDirect Open Access Titles
Elsevier:ScienceDirect:Open Access
CrossRef
DatabaseTitle CrossRef
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISSN 1877-0509
EndPage 401
ExternalDocumentID 10_1016_j_procs_2011_08_074
S1877050911005394
GroupedDBID --K
0R~
0SF
1B1
457
5VS
6I.
71M
AACTN
AAEDT
AAEDW
AAFTH
AAIKJ
AALRI
AAQFI
AAXUO
ABMAC
ACGFS
ADBBV
ADEZE
AEXQZ
AFTJW
AGHFR
AITUG
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
E3Z
EBS
EJD
EP3
FDB
FNPLU
HZ~
IXB
KQ8
M41
M~E
NCXOZ
O-L
O9-
OK1
P2P
RIG
ROL
SES
SSZ
9DU
AAYWO
AAYXX
ABWVN
ACRPL
ACVFH
ADCNI
ADNMO
ADVLN
AEUPX
AFPUW
AIGII
AKBMS
AKRWK
AKYEP
CITATION
~HD
ID FETCH-LOGICAL-c348t-bb2f23d1ef9a65a7a63fce621385c5423ea4ffd647be06780d271ec6d6df02bf3
ISICitedReferencesCount 2
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000299124600061&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1877-0509
IngestDate Sat Nov 29 02:44:15 EST 2025
Tue Nov 18 22:36:27 EST 2025
Wed May 17 00:09:02 EDT 2023
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Keywords nesC
TinyOS
parallel and distributed computation
wireless sensor network
static optimization
Hopfield neural network
maximum independent set problem
Language English
License http://creativecommons.org/licenses/by-nc-nd/3.0
https://www.elsevier.com/tdm/userlicense/1.0
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c348t-bb2f23d1ef9a65a7a63fce621385c5423ea4ffd647be06780d271ec6d6df02bf3
OpenAccessLink https://dx.doi.org/10.1016/j.procs.2011.08.074
PageCount 6
ParticipantIDs crossref_citationtrail_10_1016_j_procs_2011_08_074
crossref_primary_10_1016_j_procs_2011_08_074
elsevier_sciencedirect_doi_10_1016_j_procs_2011_08_074
PublicationCentury 2000
PublicationDate 2011
2011-00-00
PublicationDateYYYYMMDD 2011-01-01
PublicationDate_xml – year: 2011
  text: 2011
PublicationDecade 2010
PublicationTitle Procedia computer science
PublicationYear 2011
Publisher Elsevier B.V
Publisher_xml – name: Elsevier B.V
References Li, J. and Serpen, G., “TOSSIM simulation of wireless sensor network serving as hardware platform for Hopfield neural net configured for max independent set,” Proc. of Complex and Adaptive Systems Conference, Chicago, 2011.
Gay,D., Levis, P. Behren, R., Welsh, M., Brewer, E. and Culler. D “The nesC language: A holistic approach to networked embedded systems”
New York, NY, USA 2004.
Serpen, G. and Li, J., “Parallel and distributed computation of maximum independent set by Hopfield neural net embedded into a wireless sensor network”, Proc. of Complex and Adaptive Systems Conference, Chicago, 2011.
Hopfield, Tank (bib0010) 1985; 52
NY, USA 2003.
Polastre, J., Hill, J. and Culler, D. “Versatile Low Power Media Access for Wireless Sensor Networks”
10.1016/j.procs.2011.08.074_bib0025
10.1016/j.procs.2011.08.074_bib0005
10.1016/j.procs.2011.08.074_bib0015
10.1016/j.procs.2011.08.074_bib0020
Hopfield (10.1016/j.procs.2011.08.074_bib0010) 1985; 52
References_xml – reference: Serpen, G. and Li, J., “Parallel and distributed computation of maximum independent set by Hopfield neural net embedded into a wireless sensor network”, Proc. of Complex and Adaptive Systems Conference, Chicago, 2011.
– volume: 52
  start-page: 141
  year: 1985
  end-page: 152
  ident: bib0010
  article-title: Neural Computation of Decision in Optimization Problems
  publication-title: Biological Cybernetics
– reference: New York, NY, USA 2004.
– reference: NY, USA 2003.
– reference: Gay,D., Levis, P. Behren, R., Welsh, M., Brewer, E. and Culler. D “The nesC language: A holistic approach to networked embedded systems”
– reference: Li, J. and Serpen, G., “TOSSIM simulation of wireless sensor network serving as hardware platform for Hopfield neural net configured for max independent set,” Proc. of Complex and Adaptive Systems Conference, Chicago, 2011.
– reference: Polastre, J., Hill, J. and Culler, D. “Versatile Low Power Media Access for Wireless Sensor Networks”
– volume: 52
  start-page: 141
  year: 1985
  ident: 10.1016/j.procs.2011.08.074_bib0010
  article-title: Neural Computation of Decision in Optimization Problems
  publication-title: Biological Cybernetics
  doi: 10.1007/BF00339943
– ident: 10.1016/j.procs.2011.08.074_bib0005
  doi: 10.1016/j.procs.2011.08.073
– ident: 10.1016/j.procs.2011.08.074_bib0025
  doi: 10.1016/j.procs.2011.08.076
– ident: 10.1016/j.procs.2011.08.074_bib0020
  doi: 10.1145/1031495.1031508
– ident: 10.1016/j.procs.2011.08.074_bib0015
  doi: 10.1145/781131.781133
SSID ssj0000388917
Score 1.8657992
Snippet This paper, the second one in a three-paper sequence, presents the nesC model of a Hopfield neural network configured for a static optimization problem, the...
SourceID crossref
elsevier
SourceType Enrichment Source
Index Database
Publisher
StartPage 396
SubjectTerms Hopfield neural network
maximum independent set problem
nesC
parallel and distributed computation
static optimization
TinyOS
wireless sensor network
Title nesC-TinyOS model for parallel and distributed computation of max independent set by Hopfield network on wireless sensor network
URI https://dx.doi.org/10.1016/j.procs.2011.08.074
Volume 6
WOSCitedRecordID wos000299124600061&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
journalDatabaseRights – providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources (ISSN International Center)
  customDbUrl:
  eissn: 1877-0509
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000388917
  issn: 1877-0509
  databaseCode: M~E
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3Pa9swFBZZt8Mu-z3W7gc67JYZYlmW7OMo28oY3aAZ9GYkWYJ0nmMSt6Q7lP3pe0-yHbOUsg0GwQTZsoLfl6dPz0_fI-S1EBrmtVxGkqk04rJkkWa8jJwBJpcKraz1Iq6f5PFxdnqaf5lMfvR7YS4qWdfZZpM3_9XU0AbGxq2zf2Hu4abQAN_B6HAEs8PxjwwPvuswmi_qy88noc6NzyREie-qskEYoES1XCx0Zf2etua8HYjjd7WZLobSuO10bVtkqEfLxue6TeuQNo7vGFDluEJHuYalMAzRnRrTXb8NARDYjYLK0cGXDHlAPpng40J9U4sh2GNXTXCGHzDDpBoHJuJtSGJ3r4x3rZmUEarNhJnnmrbOH4_9aZKL0dTMQ9xjx-uHAMQZzjlmvZVlDeV_fpPTPsExcUjUykuTnN8it5mEZRWmfV5t43OokpP7gs3Dj-xFq3x64M5Y1xObEVmZPyD3ulUGfRvQ8ZBMbP2I3O8reNDOoT8mP0dgoR4sFMBCe7BQAAsdgYWOwEKXjgJY6AgsFMBC9SXtwUI7RFC4ugcLDWDpTz0hX9-_mx8eRV1NjsgkPGsjrZljSRlblyuRKqlE4owVLE6y1KTAza3izpWCS22RCM1KJmNrRClKN2PaJU_JXr2s7TNCwQ3EwIUS54RDGq9ZrlXG0xk3xsBD3iesf6CF6QTrsW5KVfSZiWeFt0KBViiwmqrk--TN0KkJei03Xy56SxXdHyBQyQKwdVPHg3_t-JzcDa8l8POC7LWrc_uS3DEX7WK9euUx-Avwp63S
linkProvider ISSN International Centre
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=article&rft.atitle=nesC-TinyOS+model+for+parallel+and+distributed+computation+of+max+independent+set+by+Hopfield+network+on+wireless+sensor+network&rft.jtitle=Procedia+computer+science&rft.au=Li%2C+Jiakai&rft.au=Serpen%2C+Gursel&rft.date=2011&rft.pub=Elsevier+B.V&rft.issn=1877-0509&rft.eissn=1877-0509&rft.volume=6&rft.spage=396&rft.epage=401&rft_id=info:doi/10.1016%2Fj.procs.2011.08.074&rft.externalDocID=S1877050911005394
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1877-0509&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1877-0509&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1877-0509&client=summon