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Hybrid Macroprogramming Wireless Networks of Embedded Systems with Declarative Naming.

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Title: Hybrid Macroprogramming Wireless Networks of Embedded Systems with Declarative Naming.
Authors: Intanagonwiwat, Chalermek1 chalermek.i@chula.ac.th
Source: International Journal of Distributed Sensor Networks. 2012, p1-15. 15p.
Subjects: Hybrid systems, Macroprogramming, Wireless sensor networks, Embedded computer systems, Algorithms, Energy consumption, Computer programming
Abstract: Wireless Networks of Embedded Systems (WNES) are notoriously difficult and tedious to program. The difficulty is mostly originated from low-level details in system and network programming. This includes distributedly managing and accessing resources from a dynamic set of nodes in hostile and volatile networks. To simplify WNES programming, we propose Declarative Resource Naming (DRN) that abstracts out the mentioned low-level details by programming a WNES in the large (i.e., macroprogramming). DRN provides programming simplicity, expressiveness, tunability, on-the-fly reprogrammability, and innetwork data aggregation for energy savings. None of existing macroprogramming paradigms supports all of the mentioned features. Furthermore, DRN is an integration of declarative and imperative programming. The low-level details are declaratively abstracted out, but the main algorithm remains procedural. This allows programming simplicity without an adverse impact on the expressiveness. We have implemented and evaluated DRN on two platforms: Smart Message and Maté. Our result indicates that DRN enables programmers to develop energy-efficient applications with the desired flexibility and quality. [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
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  Data: <searchLink fieldCode="DE" term="%22Hybrid+systems%22">Hybrid systems</searchLink><br /><searchLink fieldCode="DE" term="%22Macroprogramming%22">Macroprogramming</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+sensor+networks%22">Wireless sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Embedded+computer+systems%22">Embedded computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+programming%22">Computer programming</searchLink>
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  Data: Wireless Networks of Embedded Systems (WNES) are notoriously difficult and tedious to program. The difficulty is mostly originated from low-level details in system and network programming. This includes distributedly managing and accessing resources from a dynamic set of nodes in hostile and volatile networks. To simplify WNES programming, we propose Declarative Resource Naming (DRN) that abstracts out the mentioned low-level details by programming a WNES in the large (i.e., macroprogramming). DRN provides programming simplicity, expressiveness, tunability, on-the-fly reprogrammability, and innetwork data aggregation for energy savings. None of existing macroprogramming paradigms supports all of the mentioned features. Furthermore, DRN is an integration of declarative and imperative programming. The low-level details are declaratively abstracted out, but the main algorithm remains procedural. This allows programming simplicity without an adverse impact on the expressiveness. We have implemented and evaluated DRN on two platforms: Smart Message and Maté. Our result indicates that DRN enables programmers to develop energy-efficient applications with the desired flexibility and quality. [ABSTRACT FROM AUTHOR]
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  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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        Value: 10.1155/2012/490826
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1
    Subjects:
      – SubjectFull: Hybrid systems
        Type: general
      – SubjectFull: Macroprogramming
        Type: general
      – SubjectFull: Wireless sensor networks
        Type: general
      – SubjectFull: Embedded computer systems
        Type: general
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Computer programming
        Type: general
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      – TitleFull: Hybrid Macroprogramming Wireless Networks of Embedded Systems with Declarative Naming.
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              Text: 2012
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            – TitleFull: International Journal of Distributed Sensor Networks
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