Cited by 93Cognitive Radio Networks and Spectrum SensingDistributed and Parallel Computing SystemsIoT and Edge/Fog Computing

Wireless distributed computing: a survey of research challenges

Datla, Dinesh, Chen, Xuetao, Tsou, Thomas, Raghunandan, Sahana, Hasan, S.M., Reed, Jeffrey, Dietrich, Carl, Bose, Tamal +2 more·2012·IEEE Communications Magazine

Abstract

Recent advancements in radio technology provide great flexibility and enhanced capabilities in executing wireless services. One of these capabilities that can provide significant advantages over traditional approaches is the concept of collaborative computing in wireless networks. With collaborative radio nodes, multiple independent radio nodes operate together to form a wireless distributed computing (WDC) network with significantly increased performance, operating efficiency, and abilities over a single node. WDC exploits wireless connectivity to share processing- intensive tasks among multiple devices. The goals are to reduce per-node and network resource requirements, and enable complex applications not otherwise possible, e.g., image processing in a network of small form factor radio nodes. As discussed in this article, WDC research aims to quantify the benefits of distributed processing over local processing, extend traditional distributed computing (DC) approaches to allow operation in dynamic radio environments, and meet design and implementation challenges unique to WDC with the help of recently available enabling technologies, such as software radios and cognitive radios.

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Crossref · 10.1109/mcom.2012.6122545

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  • Distributed systems can also be built on top of clouds, server farms or traditional distributed computing systems.

    “Distributed systems can also be built on top of clouds, server farms or any form of traditional distributed computing systems [42].”

    From A Review on the Use of Blockchain for the Internet of Things (2018) · cites this paper as [42]

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Authors
Datla, D., Chen, X., Tsou, T., Raghunandan, S., Hasan, S. M., Reed, J., Dietrich, C., Bose, T., Fette, B., & Kim, J.-H.
Affiliations
  • Virginia Tech (US)
  • Defense Advanced Research Projects Agency (US)
  • Ewha Womans University (KR)
Venue
IEEE Communications Magazine
Published
2012-01
Volume
50
Issue
1
Pages
144-152
ISSN
0163-6804 (ISSN-L)
OpenAlex
W2085482530
Cited by
93
References
0
Citations by year
2025: 2 · 2024: 2 · 2023: 11 · 2022: 1 · 2021: 10 · 2020: 8 · 2019: 9 · 2018: 6 · 2017: 5 · 2016: 10 · 2015: 8 · 2014: 7 · 2013: 5 · 2012: 6
FWCI
10.93
Type
journal article
Language
en
Open access
closed
Locations
IEEE Communications Magazine (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Cognitive Radio Networks and Spectrum Sensing
  • Physical Sciences › Computer Science › Computer Networks and Communications › Distributed and Parallel Computing Systems
  • Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
Keywords
collaborative computing, distributed computing, wireless sensor networks, software-defined radio, cognitive radio, resource efficiency

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