A Hybrid Secure Scheme for Wireless Sensor Networks against Timing Attacks Using Continuous-Time Markov Chain and Queueing Model Article Swipe
Tianhui Meng
,
Xiaofan Li
,
Zhang Sha
,
Y. B. Zhao
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.3390/s16101606
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.3390/s16101606
Wireless sensor networks (WSNs) have recently gained popularity for a wide spectrum of applications. Monitoring tasks can be performed in various environments. This may be beneficial in many scenarios, but it certainly exhibits new challenges in terms of security due to increased data transmission over the wireless channel with potentially unknown threats. Among possible security issues are timing attacks, which are not prevented by traditional cryptographic security. Moreover, the limited energy and memory resources prohibit the use of complex security mechanisms in such systems. Therefore, balancing between security and the associated energy consumption becomes a crucial challenge. This paper proposes a secure scheme for WSNs while maintaining the requirement of the security-performance tradeoff. In order to proceed to a quantitative treatment of this problem, a hybrid continuous-time Markov chain (CTMC) and queueing model are put forward, and the tradeoff analysis of the security and performance attributes is carried out. By extending and transforming this model, the mean time to security attributes failure is evaluated. Through tradeoff analysis, we show that our scheme can enhance the security of WSNs, and the optimal rekeying rate of the performance and security tradeoff can be obtained.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s16101606
- https://www.mdpi.com/1424-8220/16/10/1606/pdf?version=1475052751
- OA Status
- gold
- Cited By
- 12
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2526307799
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2526307799Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s16101606Digital Object Identifier
- Title
-
A Hybrid Secure Scheme for Wireless Sensor Networks against Timing Attacks Using Continuous-Time Markov Chain and Queueing ModelWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-09-28Full publication date if available
- Authors
-
Tianhui Meng, Xiaofan Li, Zhang Sha, Y. B. ZhaoList of authors in order
- Landing page
-
https://doi.org/10.3390/s16101606Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/16/10/1606/pdf?version=1475052751Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/16/10/1606/pdf?version=1475052751Direct OA link when available
- Concepts
-
Queueing theory, Markov chain, Computer science, Scheme (mathematics), Wireless sensor network, Computer network, Real-time computing, Wireless, Telecommunications, Mathematics, Machine learning, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
12Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 2, 2023: 1, 2021: 1, 2020: 1Per-year citation counts (last 5 years)
- References (count)
-
34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2526307799 |
|---|---|
| doi | https://doi.org/10.3390/s16101606 |
| ids.doi | https://doi.org/10.3390/s16101606 |
| ids.mag | 2526307799 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/27690042 |
| ids.openalex | https://openalex.org/W2526307799 |
| fwci | 1.79121105 |
| type | article |
| title | A Hybrid Secure Scheme for Wireless Sensor Networks against Timing Attacks Using Continuous-Time Markov Chain and Queueing Model |
| biblio.issue | 10 |
| biblio.volume | 16 |
| biblio.last_page | 1606 |
| biblio.first_page | 1606 |
| topics[0].id | https://openalex.org/T11498 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9998999834060669 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1705 |
| topics[0].subfield.display_name | Computer Networks and Communications |
| topics[0].display_name | Security in Wireless Sensor Networks |
| topics[1].id | https://openalex.org/T10080 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9993000030517578 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1705 |
| topics[1].subfield.display_name | Computer Networks and Communications |
| topics[1].display_name | Energy Efficient Wireless Sensor Networks |
| topics[2].id | https://openalex.org/T10246 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9925000071525574 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1705 |
| topics[2].subfield.display_name | Computer Networks and Communications |
| topics[2].display_name | Mobile Ad Hoc Networks |
| is_xpac | False |
| apc_list.value | 2400 |
| apc_list.currency | CHF |
| apc_list.value_usd | 2598 |
| apc_paid.value | 2400 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 2598 |
| concepts[0].id | https://openalex.org/C22684755 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7797356843948364 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q847526 |
| concepts[0].display_name | Queueing theory |
| concepts[1].id | https://openalex.org/C98763669 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6916100382804871 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q176645 |
| concepts[1].display_name | Markov chain |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.6574016213417053 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C77618280 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6157615780830383 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1155772 |
| concepts[3].display_name | Scheme (mathematics) |
| concepts[4].id | https://openalex.org/C24590314 |
| concepts[4].level | 2 |
| concepts[4].score | 0.6154797077178955 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q336038 |
| concepts[4].display_name | Wireless sensor network |
| concepts[5].id | https://openalex.org/C31258907 |
| concepts[5].level | 1 |
| concepts[5].score | 0.5405946969985962 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1301371 |
| concepts[5].display_name | Computer network |
| concepts[6].id | https://openalex.org/C79403827 |
| concepts[6].level | 1 |
| concepts[6].score | 0.46892884373664856 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q3988 |
| concepts[6].display_name | Real-time computing |
| concepts[7].id | https://openalex.org/C555944384 |
| concepts[7].level | 2 |
| concepts[7].score | 0.4454774856567383 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q249 |
| concepts[7].display_name | Wireless |
| concepts[8].id | https://openalex.org/C76155785 |
| concepts[8].level | 1 |
| concepts[8].score | 0.16205048561096191 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[8].display_name | Telecommunications |
| concepts[9].id | https://openalex.org/C33923547 |
| concepts[9].level | 0 |
| concepts[9].score | 0.07872414588928223 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[9].display_name | Mathematics |
| concepts[10].id | https://openalex.org/C119857082 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[10].display_name | Machine learning |
| concepts[11].id | https://openalex.org/C134306372 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[11].display_name | Mathematical analysis |
| keywords[0].id | https://openalex.org/keywords/queueing-theory |
| keywords[0].score | 0.7797356843948364 |
| keywords[0].display_name | Queueing theory |
| keywords[1].id | https://openalex.org/keywords/markov-chain |
| keywords[1].score | 0.6916100382804871 |
| keywords[1].display_name | Markov chain |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.6574016213417053 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/scheme |
| keywords[3].score | 0.6157615780830383 |
| keywords[3].display_name | Scheme (mathematics) |
| keywords[4].id | https://openalex.org/keywords/wireless-sensor-network |
| keywords[4].score | 0.6154797077178955 |
| keywords[4].display_name | Wireless sensor network |
| keywords[5].id | https://openalex.org/keywords/computer-network |
| keywords[5].score | 0.5405946969985962 |
| keywords[5].display_name | Computer network |
| keywords[6].id | https://openalex.org/keywords/real-time-computing |
| keywords[6].score | 0.46892884373664856 |
| keywords[6].display_name | Real-time computing |
| keywords[7].id | https://openalex.org/keywords/wireless |
| keywords[7].score | 0.4454774856567383 |
| keywords[7].display_name | Wireless |
| keywords[8].id | https://openalex.org/keywords/telecommunications |
| keywords[8].score | 0.16205048561096191 |
| keywords[8].display_name | Telecommunications |
| keywords[9].id | https://openalex.org/keywords/mathematics |
| keywords[9].score | 0.07872414588928223 |
| keywords[9].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.3390/s16101606 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S101949793 |
| locations[0].source.issn | 1424-8220 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1424-8220 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Sensors |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.mdpi.com/1424-8220/16/10/1606/pdf?version=1475052751 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Sensors |
| locations[0].landing_page_url | https://doi.org/10.3390/s16101606 |
| locations[1].id | pmid:27690042 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Sensors (Basel, Switzerland) |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/27690042 |
| locations[2].id | pmh:oai:doaj.org/article:880b75fe77894e27b1fa6848e733e1b7 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | cc-by-sa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Sensors, Vol 16, Iss 10, p 1606 (2016) |
| locations[2].landing_page_url | https://doaj.org/article/880b75fe77894e27b1fa6848e733e1b7 |
| locations[3].id | pmh:oai:mdpi.com:/1424-8220/16/10/1606/ |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S4306400947 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | True |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | MDPI (MDPI AG) |
| locations[3].source.host_organization | https://openalex.org/I4210097602 |
| locations[3].source.host_organization_name | Multidisciplinary Digital Publishing Institute (Switzerland) |
| locations[3].source.host_organization_lineage | https://openalex.org/I4210097602 |
| locations[3].license | cc-by |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/cc-by |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Sensors; Volume 16; Issue 10; Pages: 1606 |
| locations[3].landing_page_url | https://dx.doi.org/10.3390/s16101606 |
| locations[4].id | pmh:oai:pubmedcentral.nih.gov:5087395 |
| locations[4].is_oa | True |
| locations[4].source.id | https://openalex.org/S2764455111 |
| locations[4].source.issn | |
| locations[4].source.type | repository |
| locations[4].source.is_oa | False |
| locations[4].source.issn_l | |
| locations[4].source.is_core | False |
| locations[4].source.is_in_doaj | False |
| locations[4].source.display_name | PubMed Central |
| locations[4].source.host_organization | https://openalex.org/I1299303238 |
| locations[4].source.host_organization_name | National Institutes of Health |
| locations[4].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[4].license | other-oa |
| locations[4].pdf_url | |
| locations[4].version | submittedVersion |
| locations[4].raw_type | Text |
| locations[4].license_id | https://openalex.org/licenses/other-oa |
| locations[4].is_accepted | False |
| locations[4].is_published | False |
| locations[4].raw_source_name | Sensors (Basel) |
| locations[4].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/5087395 |
| locations[5].id | pmh:oai:refubium.fu-berlin.de:fub188/20780 |
| locations[5].is_oa | True |
| locations[5].source.id | https://openalex.org/S4306402444 |
| locations[5].source.issn | |
| locations[5].source.type | repository |
| locations[5].source.is_oa | False |
| locations[5].source.issn_l | |
| locations[5].source.is_core | False |
| locations[5].source.is_in_doaj | False |
| locations[5].source.display_name | Refubium (Universitätsbibliothek der Freien Universität Berlin) |
| locations[5].source.host_organization | https://openalex.org/I75951250 |
| locations[5].source.host_organization_name | Freie Universität Berlin |
| locations[5].source.host_organization_lineage | https://openalex.org/I75951250 |
| locations[5].license | cc-by-nc-sa |
| locations[5].pdf_url | |
| locations[5].version | submittedVersion |
| locations[5].raw_type | Wissenschaftlicher Artikel |
| locations[5].license_id | https://openalex.org/licenses/cc-by-nc-sa |
| locations[5].is_accepted | False |
| locations[5].is_published | False |
| locations[5].raw_source_name | |
| locations[5].landing_page_url | https://refubium.fu-berlin.de/handle/fub188/20780 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5101525206 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-2826-7757 |
| authorships[0].author.display_name | Tianhui Meng |
| authorships[0].countries | DE |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I75951250 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin 14195, Germany |
| authorships[0].institutions[0].id | https://openalex.org/I75951250 |
| authorships[0].institutions[0].ror | https://ror.org/046ak2485 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I75951250 |
| authorships[0].institutions[0].country_code | DE |
| authorships[0].institutions[0].display_name | Freie Universität Berlin |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Tianhui Meng |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin 14195, Germany |
| authorships[1].author.id | https://openalex.org/A5100637082 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-6687-5569 |
| authorships[1].author.display_name | Xiaofan Li |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I158809036 |
| authorships[1].affiliations[0].raw_affiliation_string | Shenzhen Institute of Radio Testing & Tech., Shenzhen 518000, China |
| authorships[1].institutions[0].id | https://openalex.org/I158809036 |
| authorships[1].institutions[0].ror | https://ror.org/03wrf9427 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I158809036 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Shenzhen Institute of Information Technology |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Xiaofan Li |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Shenzhen Institute of Radio Testing & Tech., Shenzhen 518000, China |
| authorships[2].author.id | https://openalex.org/A5016438236 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Zhang Sha |
| authorships[2].countries | CN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I158809036 |
| authorships[2].affiliations[0].raw_affiliation_string | Shenzhen Institute of Radio Testing & Tech., Shenzhen 518000, China |
| authorships[2].institutions[0].id | https://openalex.org/I158809036 |
| authorships[2].institutions[0].ror | https://ror.org/03wrf9427 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I158809036 |
| authorships[2].institutions[0].country_code | CN |
| authorships[2].institutions[0].display_name | Shenzhen Institute of Information Technology |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Sha Zhang |
| authorships[2].is_corresponding | True |
| authorships[2].raw_affiliation_strings | Shenzhen Institute of Radio Testing & Tech., Shenzhen 518000, China |
| authorships[3].author.id | https://openalex.org/A5100728341 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-7540-9092 |
| authorships[3].author.display_name | Y. B. Zhao |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210145761 |
| authorships[3].affiliations[0].raw_affiliation_string | Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China |
| authorships[3].institutions[0].id | https://openalex.org/I19820366 |
| authorships[3].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[3].institutions[0].type | government |
| authorships[3].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[3].institutions[1].id | https://openalex.org/I4210145761 |
| authorships[3].institutions[1].ror | https://ror.org/04gh4er46 |
| authorships[3].institutions[1].type | facility |
| authorships[3].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210145761 |
| authorships[3].institutions[1].country_code | CN |
| authorships[3].institutions[1].display_name | Shenzhen Institutes of Advanced Technology |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Yubin Zhao |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.mdpi.com/1424-8220/16/10/1606/pdf?version=1475052751 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A Hybrid Secure Scheme for Wireless Sensor Networks against Timing Attacks Using Continuous-Time Markov Chain and Queueing Model |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11498 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9998999834060669 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1705 |
| primary_topic.subfield.display_name | Computer Networks and Communications |
| primary_topic.display_name | Security in Wireless Sensor Networks |
| related_works | https://openalex.org/W1975289146, https://openalex.org/W1660242800, https://openalex.org/W1975451135, https://openalex.org/W2077211377, https://openalex.org/W2105887828, https://openalex.org/W2122599759, https://openalex.org/W2890570089, https://openalex.org/W4236520801, https://openalex.org/W1006270037, https://openalex.org/W3152686072 |
| cited_by_count | 12 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 2 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 1 |
| counts_by_year[3].year | 2021 |
| counts_by_year[3].cited_by_count | 1 |
| counts_by_year[4].year | 2020 |
| counts_by_year[4].cited_by_count | 1 |
| counts_by_year[5].year | 2019 |
| counts_by_year[5].cited_by_count | 1 |
| counts_by_year[6].year | 2018 |
| counts_by_year[6].cited_by_count | 3 |
| counts_by_year[7].year | 2017 |
| counts_by_year[7].cited_by_count | 2 |
| locations_count | 6 |
| best_oa_location.id | doi:10.3390/s16101606 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S101949793 |
| best_oa_location.source.issn | 1424-8220 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1424-8220 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Sensors |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.mdpi.com/1424-8220/16/10/1606/pdf?version=1475052751 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Sensors |
| best_oa_location.landing_page_url | https://doi.org/10.3390/s16101606 |
| primary_location.id | doi:10.3390/s16101606 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S101949793 |
| primary_location.source.issn | 1424-8220 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1424-8220 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Sensors |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/1424-8220/16/10/1606/pdf?version=1475052751 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Sensors |
| primary_location.landing_page_url | https://doi.org/10.3390/s16101606 |
| publication_date | 2016-09-28 |
| publication_year | 2016 |
| referenced_works | https://openalex.org/W2168452204, https://openalex.org/W3147003781, https://openalex.org/W2273107707, https://openalex.org/W1971307840, https://openalex.org/W2164888224, https://openalex.org/W2952963234, https://openalex.org/W2087439183, https://openalex.org/W2171023083, https://openalex.org/W2105828786, https://openalex.org/W2107691219, https://openalex.org/W3084706010, https://openalex.org/W3009147436, https://openalex.org/W2148922257, https://openalex.org/W2071043548, https://openalex.org/W2136032111, https://openalex.org/W1823194174, https://openalex.org/W2051152775, https://openalex.org/W2128381560, https://openalex.org/W2135988418, https://openalex.org/W1610326792, https://openalex.org/W6670210495, https://openalex.org/W2101267669, https://openalex.org/W2097829227, https://openalex.org/W2116269350, https://openalex.org/W2131123432, https://openalex.org/W2104748480, https://openalex.org/W3177701684, https://openalex.org/W2114936722, https://openalex.org/W2004340723, https://openalex.org/W2104532741, https://openalex.org/W3140144394, https://openalex.org/W2154602821, https://openalex.org/W2077965840, https://openalex.org/W50107694 |
| referenced_works_count | 34 |
| abstract_inverted_index.a | 9, 94, 100, 118, 124 |
| abstract_inverted_index.By | 149 |
| abstract_inverted_index.In | 113 |
| abstract_inverted_index.be | 17, 24, 190 |
| abstract_inverted_index.by | 63 |
| abstract_inverted_index.in | 19, 26, 35, 81 |
| abstract_inverted_index.is | 146, 162 |
| abstract_inverted_index.it | 30 |
| abstract_inverted_index.of | 12, 37, 77, 109, 121, 140, 176, 183 |
| abstract_inverted_index.to | 40, 115, 117, 158 |
| abstract_inverted_index.we | 167 |
| abstract_inverted_index.and | 71, 88, 130, 136, 143, 151, 178, 186 |
| abstract_inverted_index.are | 56, 60, 133 |
| abstract_inverted_index.but | 29 |
| abstract_inverted_index.can | 16, 172, 189 |
| abstract_inverted_index.due | 39 |
| abstract_inverted_index.for | 8, 103 |
| abstract_inverted_index.may | 23 |
| abstract_inverted_index.new | 33 |
| abstract_inverted_index.not | 61 |
| abstract_inverted_index.our | 170 |
| abstract_inverted_index.put | 134 |
| abstract_inverted_index.the | 45, 68, 75, 89, 107, 110, 137, 141, 155, 174, 179, 184 |
| abstract_inverted_index.use | 76 |
| abstract_inverted_index.This | 22, 97 |
| abstract_inverted_index.WSNs | 104 |
| abstract_inverted_index.data | 42 |
| abstract_inverted_index.have | 4 |
| abstract_inverted_index.many | 27 |
| abstract_inverted_index.mean | 156 |
| abstract_inverted_index.out. | 148 |
| abstract_inverted_index.over | 44 |
| abstract_inverted_index.rate | 182 |
| abstract_inverted_index.show | 168 |
| abstract_inverted_index.such | 82 |
| abstract_inverted_index.that | 169 |
| abstract_inverted_index.this | 122, 153 |
| abstract_inverted_index.time | 157 |
| abstract_inverted_index.wide | 10 |
| abstract_inverted_index.with | 48 |
| abstract_inverted_index.Among | 52 |
| abstract_inverted_index.WSNs, | 177 |
| abstract_inverted_index.chain | 128 |
| abstract_inverted_index.model | 132 |
| abstract_inverted_index.order | 114 |
| abstract_inverted_index.paper | 98 |
| abstract_inverted_index.tasks | 15 |
| abstract_inverted_index.terms | 36 |
| abstract_inverted_index.which | 59 |
| abstract_inverted_index.while | 105 |
| abstract_inverted_index.(CTMC) | 129 |
| abstract_inverted_index.(WSNs) | 3 |
| abstract_inverted_index.Markov | 127 |
| abstract_inverted_index.energy | 70, 91 |
| abstract_inverted_index.gained | 6 |
| abstract_inverted_index.hybrid | 125 |
| abstract_inverted_index.issues | 55 |
| abstract_inverted_index.memory | 72 |
| abstract_inverted_index.model, | 154 |
| abstract_inverted_index.scheme | 102, 171 |
| abstract_inverted_index.secure | 101 |
| abstract_inverted_index.sensor | 1 |
| abstract_inverted_index.timing | 57 |
| abstract_inverted_index.Through | 164 |
| abstract_inverted_index.becomes | 93 |
| abstract_inverted_index.between | 86 |
| abstract_inverted_index.carried | 147 |
| abstract_inverted_index.channel | 47 |
| abstract_inverted_index.complex | 78 |
| abstract_inverted_index.crucial | 95 |
| abstract_inverted_index.enhance | 173 |
| abstract_inverted_index.failure | 161 |
| abstract_inverted_index.limited | 69 |
| abstract_inverted_index.optimal | 180 |
| abstract_inverted_index.proceed | 116 |
| abstract_inverted_index.unknown | 50 |
| abstract_inverted_index.various | 20 |
| abstract_inverted_index.Wireless | 0 |
| abstract_inverted_index.analysis | 139 |
| abstract_inverted_index.attacks, | 58 |
| abstract_inverted_index.exhibits | 32 |
| abstract_inverted_index.forward, | 135 |
| abstract_inverted_index.networks | 2 |
| abstract_inverted_index.possible | 53 |
| abstract_inverted_index.problem, | 123 |
| abstract_inverted_index.prohibit | 74 |
| abstract_inverted_index.proposes | 99 |
| abstract_inverted_index.queueing | 131 |
| abstract_inverted_index.recently | 5 |
| abstract_inverted_index.rekeying | 181 |
| abstract_inverted_index.security | 38, 54, 79, 87, 142, 159, 175, 187 |
| abstract_inverted_index.spectrum | 11 |
| abstract_inverted_index.systems. | 83 |
| abstract_inverted_index.threats. | 51 |
| abstract_inverted_index.tradeoff | 138, 165, 188 |
| abstract_inverted_index.wireless | 46 |
| abstract_inverted_index.Moreover, | 67 |
| abstract_inverted_index.analysis, | 166 |
| abstract_inverted_index.balancing | 85 |
| abstract_inverted_index.certainly | 31 |
| abstract_inverted_index.extending | 150 |
| abstract_inverted_index.increased | 41 |
| abstract_inverted_index.obtained. | 191 |
| abstract_inverted_index.performed | 18 |
| abstract_inverted_index.prevented | 62 |
| abstract_inverted_index.resources | 73 |
| abstract_inverted_index.security. | 66 |
| abstract_inverted_index.tradeoff. | 112 |
| abstract_inverted_index.treatment | 120 |
| abstract_inverted_index.Monitoring | 14 |
| abstract_inverted_index.Therefore, | 84 |
| abstract_inverted_index.associated | 90 |
| abstract_inverted_index.attributes | 145, 160 |
| abstract_inverted_index.beneficial | 25 |
| abstract_inverted_index.challenge. | 96 |
| abstract_inverted_index.challenges | 34 |
| abstract_inverted_index.evaluated. | 163 |
| abstract_inverted_index.mechanisms | 80 |
| abstract_inverted_index.popularity | 7 |
| abstract_inverted_index.scenarios, | 28 |
| abstract_inverted_index.consumption | 92 |
| abstract_inverted_index.maintaining | 106 |
| abstract_inverted_index.performance | 144, 185 |
| abstract_inverted_index.potentially | 49 |
| abstract_inverted_index.requirement | 108 |
| abstract_inverted_index.traditional | 64 |
| abstract_inverted_index.quantitative | 119 |
| abstract_inverted_index.transforming | 152 |
| abstract_inverted_index.transmission | 43 |
| abstract_inverted_index.applications. | 13 |
| abstract_inverted_index.cryptographic | 65 |
| abstract_inverted_index.environments. | 21 |
| abstract_inverted_index.continuous-time | 126 |
| abstract_inverted_index.security-performance | 111 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5016438236 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I158809036 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.9100000262260437 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.87653486 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |