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Author Zhong, Xu ♦ Duckham, Matt ♦ Toohey, Kevin
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Earth sciences
Abstract Over recent years considerable research effort has focused on developing decentralized algorithms for highly distributed computing environments, such as wireless geosensor networks. There are several putative advantages of decentralization, including scalability, energy efficiency, and operational latency. However, decentralized algorithms today are primarily found in simulations and lab-based deployments, but rarely if ever in the field in true deployments. In this paper, we review the principles of and drivers behind decentralization. We then contrast these drivers with a recent field deployment of a large wireless geosensor network for monitoring environmental conditions relevant to wildfire hazard, called RISERnet. The comparison highlights the key areas of difference, where current technology and applications of wireless geosensor networks are not yet able to take advantage of decentralization.
Description Affiliation: University of Melbourne, Australia (Duckham, Matt; Zhong, Xu; Toohey, Kevin)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2016-06-21
Publisher Place New York
Journal SIGSPATIAL Special (SIGSPACIAL)
Volume Number 7
Issue Number 2
Page Count 8
Starting Page 14
Ending Page 21


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Source: ACM Digital Library