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A Distributed Task Allocation Strategy for Collaborative Applications in Cluster-Based Wireless Sensor Networks.

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Názov: A Distributed Task Allocation Strategy for Collaborative Applications in Cluster-Based Wireless Sensor Networks.
Autori: Feng Wang, Guangjie Han, Jinfang Jiang, Hao Qiu
Zdroj: International Journal of Distributed Sensor Networks; 2014, p1-16, 16p
Predmety: WIRELESS sensor networks, ENERGY consumption, WIRELESS sensor nodes, ENERGY conservation, DISTRIBUTED computing, SIMULATION methods & models
Abstrakt: Balancing energy consumption and prolonging network lifetime have been hot topics in energy limited wireless sensor networks (WSNs). It is generally known that multiple sensor nodes collaborating with each other to perform tasks are an important means of energy balancing. In addition, a reasonable task allocation strategy is also an efficient method for task performing and energy saving. Furthermore, in order to save energy consumption, many WSNs are organized into clusters. Therefore, in this paper, we propose a distributed task allocation strategy for collaborative applications (DTAC) in cluster-based WSNs. In DTAC, the service abilities of sensor nodes are first evaluated and then the sensor nodes are classified into different ranking domains. Based on the service abilities of cluster members, the service ability of each cluster is calculated. A complex task can be first allocated to several clusters, and then scheduled on collaborative cluster members. Simulation results demonstrate that, compared with current related works, DTAC is much more efficient for complex task processing in terms of reducing energy consumption, shortening execution time, and balancing network loads. [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: A Distributed Task Allocation Strategy for Collaborative Applications in Cluster-Based Wireless Sensor Networks.
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  Data: <searchLink fieldCode="AR" term="%22Feng+Wang%22">Feng Wang</searchLink><br /><searchLink fieldCode="AR" term="%22Guangjie+Han%22">Guangjie Han</searchLink><br /><searchLink fieldCode="AR" term="%22Jinfang+Jiang%22">Jinfang Jiang</searchLink><br /><searchLink fieldCode="AR" term="%22Hao+Qiu%22">Hao Qiu</searchLink>
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  Data: International Journal of Distributed Sensor Networks; 2014, p1-16, 16p
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  Data: <searchLink fieldCode="DE" term="%22WIRELESS+sensor+networks%22">WIRELESS sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22ENERGY+consumption%22">ENERGY consumption</searchLink><br /><searchLink fieldCode="DE" term="%22WIRELESS+sensor+nodes%22">WIRELESS sensor nodes</searchLink><br /><searchLink fieldCode="DE" term="%22ENERGY+conservation%22">ENERGY conservation</searchLink><br /><searchLink fieldCode="DE" term="%22DISTRIBUTED+computing%22">DISTRIBUTED computing</searchLink><br /><searchLink fieldCode="DE" term="%22SIMULATION+methods+%26+models%22">SIMULATION methods & models</searchLink>
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  Label: Abstract
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  Data: Balancing energy consumption and prolonging network lifetime have been hot topics in energy limited wireless sensor networks (WSNs). It is generally known that multiple sensor nodes collaborating with each other to perform tasks are an important means of energy balancing. In addition, a reasonable task allocation strategy is also an efficient method for task performing and energy saving. Furthermore, in order to save energy consumption, many WSNs are organized into clusters. Therefore, in this paper, we propose a distributed task allocation strategy for collaborative applications (DTAC) in cluster-based WSNs. In DTAC, the service abilities of sensor nodes are first evaluated and then the sensor nodes are classified into different ranking domains. Based on the service abilities of cluster members, the service ability of each cluster is calculated. A complex task can be first allocated to several clusters, and then scheduled on collaborative cluster members. Simulation results demonstrate that, compared with current related works, DTAC is much more efficient for complex task processing in terms of reducing energy consumption, shortening execution time, and balancing network loads. [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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        Value: 10.1155/2014/964595
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 1
    Subjects:
      – SubjectFull: WIRELESS sensor networks
        Type: general
      – SubjectFull: ENERGY consumption
        Type: general
      – SubjectFull: WIRELESS sensor nodes
        Type: general
      – SubjectFull: ENERGY conservation
        Type: general
      – SubjectFull: DISTRIBUTED computing
        Type: general
      – SubjectFull: SIMULATION methods & models
        Type: general
    Titles:
      – TitleFull: A Distributed Task Allocation Strategy for Collaborative Applications in Cluster-Based Wireless Sensor Networks.
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          Name:
            NameFull: Feng Wang
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            NameFull: Guangjie Han
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            NameFull: Jinfang Jiang
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            NameFull: Hao Qiu
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            – D: 01
              M: 01
              Text: 2014
              Type: published
              Y: 2014
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            – TitleFull: International Journal of Distributed Sensor Networks
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