DocumentCode
3281745
Title
Energy-efficient distributed computing solutions for Internet of Things with ZigBee devices
Author
Chmaj, Grzegorz ; Selvaraj, Henry
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Nevada Las Vegas, Las Vegas, NV, USA
fYear
2015
fDate
June 28 2015-July 1 2015
Firstpage
437
Lastpage
442
Abstract
In recent years, we are witnessing a trend with increasing number of networked and computing-capable devices being integrated into everyday environment. This trend is expected to continue. With computing devices available as logic structures, they might use each other´s processing capabilities to achieve a given goal. In this paper, we propose an architecture to process tasks using distributed structure of Internet of Things devices. We also include ZigBee devices that are not connected to the Internet, but participate with the processing swarm using local network. This significantly extends the flexibility and potential of the IoT structure, while being still not a well-researched area. Unlike many high-level realizations for IoT processing, we present a realization operating on the communications, computing and near protocol level that achieves energy consumption efficiency. Our work is suitable to be the base for higher-level realizations, especially for systems with devices operating on battery power. At the same time, the architecture presented in this paper uses minimal centralization, moving maximum responsibilities to regular devices. The proposed realizations are described using linear programming models and their high efficiency is evaluated.
Keywords
Internet of Things; Zigbee; energy consumption; linear programming; power aware computing; Internet of things; IoT structure; ZigBee devices; battery power; computing-capable devices; energy consumption efficiency; energy-efficient distributed computing solutions; everyday environment; linear programming models; logic structures; minimal centralization; networked devices; Algorithm design and analysis; Energy consumption; Heuristic algorithms; Internet of things; Sensors; Zigbee; Internet of Things; ZigBee; distributed computing; distributed processing; wearable;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on
Conference_Location
Las Vegas, NV
Type
conf
DOI
10.1109/ICIS.2015.7166633
Filename
7166633
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