Wireless distributed computing: a survey of research challenges
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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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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A Review on the Use of Blockchain for the Internet of Things
Fernandez-Carames, T. M., & Fraga-Lamas, P. (2018) · IEEE Access · doi:10.1109/access.2018.2842685 · Cited by 1,078 · see citing works
Edge computing: current trends, research challenges and future directions
Carvalho, G., Cabral, B., Pereira, V., & Bernardino, J. (2021) · Computing · doi:10.1007/s00607-020-00896-5 · Cited by 223 · see citing works
- 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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