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Damping Based Traffic Allocation in Wireless Machine-to-Machine Communications Networks.

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Title: Damping Based Traffic Allocation in Wireless Machine-to-Machine Communications Networks.
Authors: Ruiguo Yu, Zhemda Yuan, Mankun Zhao, Mei Yu, Xu Lu
Source: International Journal of Distributed Sensor Networks; 2013, p1-11, 11p
Subject Terms: MACHINE-to-machine communications, ALGORITHMS, DIGITAL communications, BROADBAND communication systems, DATA transmission systems
Abstract: Machine-to-machine (M2M) technology that allows machine devices to communicate directly with each other without human intervention has emerged as a cutting-edge technology for next-generation communication. As its applications become more and more popular, the number of users grows quickly and the quality of service needs to be improved. The traffic allocation problem may lead to many other problems such as low utilization ratio of the bandwidth and the jitter. When we tried to analyze the load on different paths using the simplest multipath routing algorithms, we found that the load changes just like simple harmonic motion, which inspires us to use physic and mathematic methods and tools to analyze the loading balance problems. And then, we designed a new traffic allocation algorithm. Compared with other algorithms, the algorithm proposed in this paper has much wider applicability. And the performance comparison experiment shows that DBTAs can really achieve improvement in decreasing the packet delay variance. [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.)
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  Data: Damping Based Traffic Allocation in Wireless Machine-to-Machine Communications Networks.
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  Data: <searchLink fieldCode="AR" term="%22Ruiguo+Yu%22">Ruiguo Yu</searchLink><br /><searchLink fieldCode="AR" term="%22Zhemda+Yuan%22">Zhemda Yuan</searchLink><br /><searchLink fieldCode="AR" term="%22Mankun+Zhao%22">Mankun Zhao</searchLink><br /><searchLink fieldCode="AR" term="%22Mei+Yu%22">Mei Yu</searchLink><br /><searchLink fieldCode="AR" term="%22Xu+Lu%22">Xu Lu</searchLink>
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  Data: International Journal of Distributed Sensor Networks; 2013, p1-11, 11p
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  Data: <searchLink fieldCode="DE" term="%22MACHINE-to-machine+communications%22">MACHINE-to-machine communications</searchLink><br /><searchLink fieldCode="DE" term="%22ALGORITHMS%22">ALGORITHMS</searchLink><br /><searchLink fieldCode="DE" term="%22DIGITAL+communications%22">DIGITAL communications</searchLink><br /><searchLink fieldCode="DE" term="%22BROADBAND+communication+systems%22">BROADBAND communication systems</searchLink><br /><searchLink fieldCode="DE" term="%22DATA+transmission+systems%22">DATA transmission systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Machine-to-machine (M2M) technology that allows machine devices to communicate directly with each other without human intervention has emerged as a cutting-edge technology for next-generation communication. As its applications become more and more popular, the number of users grows quickly and the quality of service needs to be improved. The traffic allocation problem may lead to many other problems such as low utilization ratio of the bandwidth and the jitter. When we tried to analyze the load on different paths using the simplest multipath routing algorithms, we found that the load changes just like simple harmonic motion, which inspires us to use physic and mathematic methods and tools to analyze the loading balance problems. And then, we designed a new traffic allocation algorithm. Compared with other algorithms, the algorithm proposed in this paper has much wider applicability. And the performance comparison experiment shows that DBTAs can really achieve improvement in decreasing the packet delay variance. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  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.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1155/2013/814267
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: MACHINE-to-machine communications
        Type: general
      – SubjectFull: ALGORITHMS
        Type: general
      – SubjectFull: DIGITAL communications
        Type: general
      – SubjectFull: BROADBAND communication systems
        Type: general
      – SubjectFull: DATA transmission systems
        Type: general
    Titles:
      – TitleFull: Damping Based Traffic Allocation in Wireless Machine-to-Machine Communications Networks.
        Type: main
  BibRelationships:
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      – PersonEntity:
          Name:
            NameFull: Ruiguo Yu
      – PersonEntity:
          Name:
            NameFull: Zhemda Yuan
      – PersonEntity:
          Name:
            NameFull: Mankun Zhao
      – PersonEntity:
          Name:
            NameFull: Mei Yu
      – PersonEntity:
          Name:
            NameFull: Xu Lu
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: 2013
              Type: published
              Y: 2013
          Identifiers:
            – Type: issn-print
              Value: 15501329
          Titles:
            – TitleFull: International Journal of Distributed Sensor Networks
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