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Energy and Delay Optimization of Heterogeneous Multicore Wireless Multimedia Sensor Nodes by Adaptive Genetic-Simulated Annealing Algorithm
Joint Authors
Xiong, Shengwu
Xiang, Jianwen
Liu, Xing
Zhou, Haiying
Hou, Kun Mean
de Vaulx, Christophe
Wang, Huan
Shen, Tianhui
Wang, Qing
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-22
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
Energy efficiency and delay optimization are significant for the proliferation of wireless multimedia sensor network (WMSN).
In this article, an energy-efficient, delay-efficient, hardware and software cooptimization platform is researched to minimize the energy cost while guaranteeing the deadline of the real-time WMSN tasks.
First, a multicore reconfigurable WMSN hardware platform is designed and implemented.
This platform uses both the heterogeneous multicore architecture and the dynamic voltage and frequency scaling (DVFS) technique.
By this means, the nodes can adjust the hardware characteristics dynamically in terms of the software run-time contexts.
Consequently, the software can be executed more efficiently with less energy cost and shorter execution time.
Then, based on this hardware platform, an energy and delay multiobjective optimization algorithm and a DVFS adaption algorithm are investigated.
These algorithms aim to search out the global energy optimization solution within the acceptable calculation time and strip the time redundancy in the task executing process.
Thus, the energy efficiency of the WMSN node can be improved significantly even under strict constraint of the execution time.
Simulation and real-world experiments proved that the proposed approaches can decrease the energy cost by more than 29% compared to the traditional single-core WMSN node.
Moreover, the node can react quickly to the time-sensitive events.
American Psychological Association (APA)
Liu, Xing& Zhou, Haiying& Xiang, Jianwen& Xiong, Shengwu& Hou, Kun Mean& de Vaulx, Christophe…[et al.]. 2018. Energy and Delay Optimization of Heterogeneous Multicore Wireless Multimedia Sensor Nodes by Adaptive Genetic-Simulated Annealing Algorithm. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216235
Modern Language Association (MLA)
Liu, Xing…[et al.]. Energy and Delay Optimization of Heterogeneous Multicore Wireless Multimedia Sensor Nodes by Adaptive Genetic-Simulated Annealing Algorithm. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1216235
American Medical Association (AMA)
Liu, Xing& Zhou, Haiying& Xiang, Jianwen& Xiong, Shengwu& Hou, Kun Mean& de Vaulx, Christophe…[et al.]. Energy and Delay Optimization of Heterogeneous Multicore Wireless Multimedia Sensor Nodes by Adaptive Genetic-Simulated Annealing Algorithm. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216235
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216235