Engineering friendly tool to estimate battery life of a wireless sensor node
Battery life of low power devices is a major concern for the users of such devices. Existing research focuses on using different power management techniques and power consumption models to predict the battery life. However most of the exiting power consumption models and simulators assume a high deg...
Saved in:
| Published in: | Journal of industrial information integration Vol. 4; pp. 8 - 14 |
|---|---|
| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Inc
01.12.2016
|
| Subjects: | |
| ISSN: | 2452-414X, 2467-964X, 2452-414X |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Battery life of low power devices is a major concern for the users of such devices. Existing research focuses on using different power management techniques and power consumption models to predict the battery life. However most of the exiting power consumption models and simulators assume a high degree of technical expertise of the users such as user of a home automation system. This paper proposes a power consumption model that can be used as an easy to use engineering tool by the end user or system integrators to estimate the battery life of the device by just estimating the levels related to expected traffic that network will support and the possible interference level depending on the number of interference sources. The tool can also be used by the device manufacturer to compare/select chipsets, batteries or alternatively optimize the some parameters of the communication protocols for a selected hardware to get the desired battery life. The model also provides insights to the major components that contributes to the power consumption under different number of operations and different traffic conditions. Finally the paper provides strategies to mitigate the effect of the different components contributing to the power consumption. |
|---|---|
| AbstractList | Battery life of low power devices is a major concern for the users of such devices. Existing research focuses on using different power management techniques and power consumption models to predict the battery life. However most of the exiting power consumption models and simulators assume a high degree of technical expertise of the users such as user of a home automation system. This paper proposes a power consumption model that can be used as an easy to use engineering tool by the end user or system integrators to estimate the battery life of the device by just estimating the levels related to expected traffic that network will support and the possible interference level depending on the number of interference sources. The tool can also be used by the device manufacturer to compare/select chipsets, batteries or alternatively optimize the some parameters of the communication protocols for a selected hardware to get the desired battery life. The model also provides insights to the major components that contributes to the power consumption under different number of operations and different traffic conditions. Finally the paper provides strategies to mitigate the effect of the different components contributing to the power consumption. Battery life of low power devices is a major concern for the users of such devices. Existing research focuses on using different power management techniques and power consumption models to predict the battery life. However most of the exiting power consumption models and simulators assume a high degree of technical expertise of the users such as user of a home automation system. This paper proposes a power consumption model that can be used as an easy to use engineering tool by the end user or system integrators to estimate the battery life of the device by just estimating the levels related to expected traffic that network will support and the possible interference level depending on the number of interference sources. The tool can also be used by the device manufacturer to compare/select chipsets, batteries or alternatively optimize the some parameters of the communication protocols for a selected hardware to get the desired battery life. The model also provides insights to the major components that contributes to the power consumption under different number of operations and different traffic conditions. Finally the paper provides strategies to mitigate the effect of the different components contributing to the power consumption. |
| Author | Zhu, Shaoling Min, Xiaoyu Pang, Zhibo Bag, Gargi Johansson, Morgan E. |
| Author_xml | – sequence: 1 givenname: Gargi surname: Bag fullname: Bag, Gargi email: gargi.bag@se.abb.com organization: ABB Corporate Research, Vasteras, Sweden – sequence: 2 givenname: Zhibo surname: Pang fullname: Pang, Zhibo email: zhibo.pang@se.abb.com organization: ABB Corporate Research, Vasteras, Sweden – sequence: 3 givenname: Morgan E. surname: Johansson fullname: Johansson, Morgan E. email: morgan.e.johansson@se.abb.com organization: ABB Corporate Research, Vasteras, Sweden – sequence: 4 givenname: Xiaoyu surname: Min fullname: Min, Xiaoyu email: xiaoyu.min@crcxnet.com organization: KTH Royal Institute of Technology, Stockholm, Sweden – sequence: 5 givenname: Shaoling surname: Zhu fullname: Zhu, Shaoling email: shaoling.zhu@crcxnet.com organization: KTH Royal Institute of Technology, Stockholm, Sweden |
| BackLink | https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-207551$$DView record from Swedish Publication Index (Kungliga Tekniska Högskolan) |
| BookMark | eNp9kMtKAzEUhoNUsNY-gLu8wIxJ5lpclVovUHCj4i5kkpOacUxKEi19e1MqIi66Oedf_N_h8J2jkXUWELqkJKeE1ld93huTsxRzSnNC6Akas7JiWUnL19GffIamIfQkNdqKsZKO0Wpp18YCeGPXWHsDVg07HJ0b0sAQovkQEXAnYgS_w4PRgJ3GAm-NhwFCwAFscB5bp-ACnWoxBJj-7Al6vl0-Le6z1ePdw2K-ymRRVDFrZ5K1qq30jNSyZJLJou4UlWXdUlB1o-qu00pKoqsWZqXQqawbpnTLpGI1LSYoO9wNW9h8dnzj05d-x50w_Ma8zLnza_4e3zgjTVXt-_TQl96F4EH_EpTwvUHe82SQ7w1ySnnyk5jmHyNNFNE4G70ww1Hy-kBCUvBlwPMgk1cJKimTkStnjtDfa-KOoA |
| CitedBy_id | crossref_primary_10_1080_00207543_2018_1444806 crossref_primary_10_1109_ACCESS_2024_3392852 crossref_primary_10_1016_j_ifacol_2024_08_132 crossref_primary_10_1109_TCE_2019_2962605 crossref_primary_10_1109_TII_2017_2773066 |
| Cites_doi | 10.1007/978-3-642-38401-1_3 |
| ContentType | Journal Article |
| Copyright | 2016 |
| Copyright_xml | – notice: 2016 |
| DBID | AAYXX CITATION ADTPV AOWAS D8V |
| DOI | 10.1016/j.jii.2016.11.001 |
| DatabaseName | CrossRef SwePub SwePub Articles SWEPUB Kungliga Tekniska Högskolan |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Business |
| EISSN | 2452-414X |
| EndPage | 14 |
| ExternalDocumentID | oai_DiVA_org_kth_207551 10_1016_j_jii_2016_11_001 S2452414X16300589 |
| GroupedDBID | --M 0R~ 4G. 7-5 AACTN AAEDT AAEDW AAIAV AAKOC AALRI AAOAW AARIN AAXUO AAYFN ABBOA ABJNI ABMAC ABYKQ ACDAQ ACGFS ACHRH ACNTT ACRLP ADBBV ADEZE AEBSH AFKWA AFTJW AGJBL AGUBO AGUMN AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD APLSM AXJTR BKOJK BLXMC EBS EFJIC EFLBG EJD FDB FIRID FYGXN KOM M41 O9- OAUVE ROL SPC SPCBC SSB SSD SSL SSV SSZ T5K ~G- AAQFI AATTM AAXKI AAYWO AAYXX ACLOT ACVFH ADCNI AEIPS AEUPX AFJKZ AFPUW AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ADTPV AOWAS D8V |
| ID | FETCH-LOGICAL-c335t-89c28d85f906c42c2c36bd1c4681ed67d6bbfdcc0f58e94af8d8f72df82cd2613 |
| ISICitedReferencesCount | 11 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000438431400002&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2452-414X 2467-964X |
| IngestDate | Tue Nov 04 16:50:47 EST 2025 Tue Nov 18 22:33:38 EST 2025 Sat Nov 29 03:14:00 EST 2025 Fri Feb 23 02:30:43 EST 2024 |
| IsPeerReviewed | false |
| IsScholarly | true |
| Keywords | Wireless sensor network Battery life Internet of Things Power consumption model |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c335t-89c28d85f906c42c2c36bd1c4681ed67d6bbfdcc0f58e94af8d8f72df82cd2613 |
| PageCount | 7 |
| ParticipantIDs | swepub_primary_oai_DiVA_org_kth_207551 crossref_primary_10_1016_j_jii_2016_11_001 crossref_citationtrail_10_1016_j_jii_2016_11_001 elsevier_sciencedirect_doi_10_1016_j_jii_2016_11_001 |
| PublicationCentury | 2000 |
| PublicationDate | 2016-12-01 |
| PublicationDateYYYYMMDD | 2016-12-01 |
| PublicationDate_xml | – month: 12 year: 2016 text: 2016-12-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationTitle | Journal of industrial information integration |
| PublicationYear | 2016 |
| Publisher | Elsevier Inc |
| Publisher_xml | – name: Elsevier Inc |
| References | Roy, Bera, Sarkar (bib0006) 2014 Wang, Yang (bib0008) 2007 Haase, Molina, Dietrich (bib0010) 2011; 7 Kerasiotis, Prayati, Antonopoulos (bib0004) 2010 Pughat, Sharma (bib0002) 2012 Tuah, Ismail, Haron (bib0005) 2013 Wang, Hempstead, Yang (bib0012) 2006 Cherif, Grimaud, Boe (bib0007) 2015 C. Rohner, L.M Feeney, and P. Gunningberg, ``Evaluating battery models in wireless sensor networks” Wired/Wireless Internet Communication, Volume 7889 of the series Lecture Notes in Computer Science pp. 29–42 Somov, Minakov, Simalatsar, Fontana, Passerone (bib0003) 2009 Martinez, Montón, Vilajosana, Prades (bib0009) 2015; 15 Abo-Zahhad, Farrag, Ali, Amin (bib0011) 2015 10.1016/j.jii.2016.11.001_bib0001 Martinez (10.1016/j.jii.2016.11.001_bib0009) 2015; 15 Cherif (10.1016/j.jii.2016.11.001_bib0007) 2015 Tuah (10.1016/j.jii.2016.11.001_bib0005) 2013 Wang (10.1016/j.jii.2016.11.001_bib0012) 2006 Somov (10.1016/j.jii.2016.11.001_bib0003) 2009 Roy (10.1016/j.jii.2016.11.001_bib0006) 2014 Wang (10.1016/j.jii.2016.11.001_bib0008) 2007 Abo-Zahhad (10.1016/j.jii.2016.11.001_bib0011) 2015 Haase (10.1016/j.jii.2016.11.001_bib0010) 2011; 7 Pughat (10.1016/j.jii.2016.11.001_bib0002) 2012 Kerasiotis (10.1016/j.jii.2016.11.001_bib0004) 2010 |
| References_xml | – year: 2010 ident: bib0004 article-title: Battery lifetime prediction model for a WSN platform publication-title: IEEE SENSORCOMM – year: 2009 ident: bib0003 article-title: A methodology for power consumption evaluation of wireless sensor networks publication-title: IEEE ETFA – year: 2013 ident: bib0005 article-title: Energy consumption and lifetime analysis for heterogeneous wireless sensor network publication-title: IEEE TENCON – year: 2014 ident: bib0006 article-title: Longevity enhancement analysis by evaluation of battery life in wireless sensing network publication-title: IEEE CIEE – volume: 7 year: 2011 ident: bib0010 article-title: Power-aware system design of wireles sensor networks: power estimation and power profiling strategies publication-title: IEEE Trans. Industr. Informat. – year: 2006 ident: bib0012 article-title: A realistic power consumption model for wireless sensor network devices publication-title: IEEESECON – year: 2012 ident: bib0002 article-title: A survey on dynamic power management approach in wireless sensor networks publication-title: IEEE PIICON – year: 2015 ident: bib0007 article-title: Energy consumption of networked embedded systems publication-title: International Conference on Future Internet of Things and Cloud – year: 2015 ident: bib0011 article-title: An energy consumption model for wireless sensor networks publication-title: IEEE ICEAC – reference: C. Rohner, L.M Feeney, and P. Gunningberg, ``Evaluating battery models in wireless sensor networks” Wired/Wireless Internet Communication, Volume 7889 of the series Lecture Notes in Computer Science pp. 29–42 – volume: 15 year: 2015 ident: bib0009 article-title: The power of models: modeling power consumption for IoT devices publication-title: IEEE Sensors J. – year: 2007 ident: bib0008 article-title: Energy consumption model for power management in wireless sensor networks publication-title: SECON – ident: 10.1016/j.jii.2016.11.001_bib0001 doi: 10.1007/978-3-642-38401-1_3 – year: 2013 ident: 10.1016/j.jii.2016.11.001_bib0005 article-title: Energy consumption and lifetime analysis for heterogeneous wireless sensor network – year: 2015 ident: 10.1016/j.jii.2016.11.001_bib0011 article-title: An energy consumption model for wireless sensor networks – year: 2015 ident: 10.1016/j.jii.2016.11.001_bib0007 article-title: Energy consumption of networked embedded systems – year: 2006 ident: 10.1016/j.jii.2016.11.001_bib0012 article-title: A realistic power consumption model for wireless sensor network devices – volume: 15 issue: (10)October year: 2015 ident: 10.1016/j.jii.2016.11.001_bib0009 article-title: The power of models: modeling power consumption for IoT devices publication-title: IEEE Sensors J. – year: 2012 ident: 10.1016/j.jii.2016.11.001_bib0002 article-title: A survey on dynamic power management approach in wireless sensor networks – volume: 7 issue: (4)November year: 2011 ident: 10.1016/j.jii.2016.11.001_bib0010 article-title: Power-aware system design of wireles sensor networks: power estimation and power profiling strategies publication-title: IEEE Trans. Industr. Informat. – year: 2009 ident: 10.1016/j.jii.2016.11.001_bib0003 article-title: A methodology for power consumption evaluation of wireless sensor networks – year: 2010 ident: 10.1016/j.jii.2016.11.001_bib0004 article-title: Battery lifetime prediction model for a WSN platform – year: 2007 ident: 10.1016/j.jii.2016.11.001_bib0008 article-title: Energy consumption model for power management in wireless sensor networks – year: 2014 ident: 10.1016/j.jii.2016.11.001_bib0006 article-title: Longevity enhancement analysis by evaluation of battery life in wireless sensing network |
| SSID | ssj0001852241 |
| Score | 2.0485435 |
| Snippet | Battery life of low power devices is a major concern for the users of such devices. Existing research focuses on using different power management techniques... |
| SourceID | swepub crossref elsevier |
| SourceType | Open Access Repository Enrichment Source Index Database Publisher |
| StartPage | 8 |
| SubjectTerms | Battery life Internet of Things Power consumption model Wireless sensor network |
| Title | Engineering friendly tool to estimate battery life of a wireless sensor node |
| URI | https://dx.doi.org/10.1016/j.jii.2016.11.001 https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-207551 |
| Volume | 4 |
| WOSCitedRecordID | wos000438431400002&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: PRVESC databaseName: ScienceDirect customDbUrl: eissn: 2452-414X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001852241 issn: 2467-964X databaseCode: AIEXJ dateStart: 20160301 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwELaWFiEuFU9RCsgHxIEoq8Sbh31cYHmpVBxKteISxXbcZomSarut2iP_nJk4zqZFreiBixVFtvOYz-OxPfMNIa-ZZFJGifJZKjGFWRD7Qgnmi9QApmNjgjadz8FuurfH53PxfTT67WJhzqq0rvn5uTj-r6KGeyBsDJ29hbj7TuEGXIPQoQSxQ_lPgh8wDHoGWYx1hRZmU6GZiZwaYKMWnmx5NS-8qjSFjZFE0uIK9d4JrGybpVc3-rKb0JBjYp3vo-7DH3vqicHR_ru8VSWf8uVhuT6tsvrl51Epm4EHD0yaXfjXtzbXlDcb93CwTAfzMm8uTocbFWEycPpo9Rme8fpRaB0ynfKNBsqTD2ZhG1n6l363Ww2L8aIs0S0vGSMDa_eQS1zaV-a43vPQObUtMugiwy5gDYSOfXfIJktjAYpxc_plNv-63qjjMZo5mKTQfYA7HW_9BK-8yrX2zZCItjVe9h-QrU50dGrR8pCMivoRueeCHh6T3QFoqAMNRdBAQR1oaAcaiqChjaE5daChFjQUQfOE_Pg423__2e_ybPhqMolXPheKcQ0DUwSJiphiapJIHaoo4WGhk1QnUhqtVGBiXogoN1DZpEwbzpSGFfjkKdmom7p4RqgyMsAeiihPIq4wxCOSoUyFjLU2ebhNAvd3MtWR0GMulCq7VjDb5G3f5NgysNxUOXK_POtMSGsaZoCgm5q9seLpn4Cs6x_Kg2kGgM9-rY6gdgqLi-e3eZkdcn89Dl6QjdXytHhJ7qqzVXmyfNXh7A_ELqKi |
| linkProvider | Elsevier |
| 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=Engineering+friendly+tool+to+estimate+battery+life+of+a+wireless+sensor+node&rft.jtitle=Journal+of+industrial+information+integration&rft.au=Bag%2C+Gargi&rft.au=Pang%2C+Zhibo&rft.au=Johansson%2C+Morgan+E.&rft.au=Min%2C+Xiaoyu&rft.date=2016-12-01&rft.issn=2452-414X&rft.volume=4&rft.spage=8&rft.epage=14&rft_id=info:doi/10.1016%2Fj.jii.2016.11.001&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_jii_2016_11_001 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2452-414X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2452-414X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2452-414X&client=summon |