View in EDS HTML Full Text PDF Full Text

Latency‐Aware Cross‐Layer Signaling for Energy‐Efficient CRNs.

Saved in:
Bibliographic Details
Title: Latency‐Aware Cross‐Layer Signaling for Energy‐Efficient CRNs.
Authors: Chen, Huajun1 (AUTHOR), Liu, Sheng2 (AUTHOR) dshls@gztrc.edu.cn, Yuan, Lina1 (AUTHOR), Chang, Tinghong1 (AUTHOR), Gong, Jing1 (AUTHOR), Reggiani, Luca (AUTHOR) luca.reggiani@polimi.it
Source: International Journal of Distributed Sensor Networks. 10/10/2025, Vol. 2025, p1-13. 13p.
Subjects: Cross layer optimization, Energy consumption, Adaptive routing (Computer network management), Cognitive radio, Applied sciences, Dynamic spectrum access
Abstract: With the rapid development of wireless communication technology and the increasing scarcity of spectrum resources, cognitive radio networks (CRNs) have emerged as an effective means to improve spectrum utilization. This paper investigates the cross‐layer design (CLD) issues in CRNs, exploring the collaborative mechanisms among the physical layer, MAC layer, network layer, and application layer. Initially, a CLD framework considering multiple network layers is constructed. Subsequently, efficient spectrum sensing algorithms for the physical layer, dynamic spectrum access control mechanisms for the MAC layer, adaptive routing protocols for the network layer, and service quality assurance strategies for the application layer are proposed. Against two recent baselines, our CLD delivers 27% higher energy efficiency and 25% lower latency without reliability loss. These gains are attributed to the first four‐layer joint optimization framework, a latency‐aware signaling protocol, and closed‐form Pareto weight selection. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 188606320
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Latency‐Aware Cross‐Layer Signaling for Energy‐Efficient CRNs.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Huajun%22">Chen, Huajun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Sheng%22">Liu, Sheng</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> dshls@gztrc.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yuan%2C+Lina%22">Yuan, Lina</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chang%2C+Tinghong%22">Chang, Tinghong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gong%2C+Jing%22">Gong, Jing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Reggiani%2C+Luca%22">Reggiani, Luca</searchLink> (AUTHOR)<i> luca.reggiani@polimi.it</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Distributed+Sensor+Networks%22">International Journal of Distributed Sensor Networks</searchLink>. 10/10/2025, Vol. 2025, p1-13. 13p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Cross+layer+optimization%22">Cross layer optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+routing+%28Computer+network+management%29%22">Adaptive routing (Computer network management)</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+radio%22">Cognitive radio</searchLink><br /><searchLink fieldCode="DE" term="%22Applied+sciences%22">Applied sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamic+spectrum+access%22">Dynamic spectrum access</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: With the rapid development of wireless communication technology and the increasing scarcity of spectrum resources, cognitive radio networks (CRNs) have emerged as an effective means to improve spectrum utilization. This paper investigates the cross‐layer design (CLD) issues in CRNs, exploring the collaborative mechanisms among the physical layer, MAC layer, network layer, and application layer. Initially, a CLD framework considering multiple network layers is constructed. Subsequently, efficient spectrum sensing algorithms for the physical layer, dynamic spectrum access control mechanisms for the MAC layer, adaptive routing protocols for the network layer, and service quality assurance strategies for the application layer are proposed. Against two recent baselines, our CLD delivers 27% higher energy efficiency and 25% lower latency without reliability loss. These gains are attributed to the first four‐layer joint optimization framework, a latency‐aware signaling protocol, and closed‐form Pareto weight selection. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=188606320
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1155/dsn/1778624
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 1
    Subjects:
      – SubjectFull: Cross layer optimization
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Adaptive routing (Computer network management)
        Type: general
      – SubjectFull: Cognitive radio
        Type: general
      – SubjectFull: Applied sciences
        Type: general
      – SubjectFull: Dynamic spectrum access
        Type: general
    Titles:
      – TitleFull: Latency‐Aware Cross‐Layer Signaling for Energy‐Efficient CRNs.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Chen, Huajun
      – PersonEntity:
          Name:
            NameFull: Liu, Sheng
      – PersonEntity:
          Name:
            NameFull: Yuan, Lina
      – PersonEntity:
          Name:
            NameFull: Chang, Tinghong
      – PersonEntity:
          Name:
            NameFull: Gong, Jing
      – PersonEntity:
          Name:
            NameFull: Reggiani, Luca
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 10
              M: 10
              Text: 10/10/2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 15501329
          Numbering:
            – Type: volume
              Value: 2025
          Titles:
            – TitleFull: International Journal of Distributed Sensor Networks
              Type: main
ResultId 1