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
Link To Document :
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