Computer Science

Computer Science ›› 2018, Vol. 45 ›› Issue (8): 75-79.doi: 10.11896/j.issn.1002-137X.2018.08.013

• Network & Communication • Previous Articles     Next Articles

Optimal Energy Allocation Algorithm with Energy Harvesting and Hybrid Energy Storage for Microscale Wireless Networks

YAO Xin-wei1, ZHANG Meng-na1, WANG Wan-liang1, YANG Shuang-hua1,2   

  1. College of Computer Science & Technology,Zhejiang University of Technology,Hangzhou 310023,China1
    Department of Computer Science,Loughborough University,Leicestershire LE113TU,UK2
  • Received:2017-06-04 Online:2018-08-29 Published:2018-08-29

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Abstract: With the rapid development of nanotechnologies and wireless networking technologies,small node size and constrained node energy extremely limit the applications of microscale wireless networks.Therefore,in this paper,aiming at the problems that thestorage structure of traditional macro network node is single and energy harvesting technology is unstable,a hybrid energy storage structure with super-capacitor and battery was proposed to overcome the limitation of battery-based energy storage in traditional wireless network.Based on the proposed hybrid energy storage structure,the network throughput model with energy harvesting was presented by integrating the point-to-point duplex channelmodel and energy loss coefficient.In order to maximize the throughput,an analytical energy allocation model was presented by considering the transmission cost,and then an optimal energy allocation algorithm was proposed based on the model analysis.Due to the inequality of energy distribution of each epoch,this algorithm allocates different energy for the capacitor and the battery,and uses the optimal transmission power and transmission time for data transmission.Experimental results demonstrate that the proposed algorithm can effectively maximize the total network throughput.

Key words: Energy harvesting, Hybrid energy storage, Microscale wireless networks, Throughput maximization

CLC Number: 

  • TP393
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