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EMrise: An Energy Management Platform for WSNs/WBANs

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Energy Management in Wireless Cellular and Ad-hoc Networks

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 50))

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Abstract

Due to reliance on batteries, energy consumption has always been of significant concern for sensor node networks. This work presents the design and implementation of a house-build experimental platform, named EMrise (Energy Management System for Wireless Sensor Networks) for the energy management and exploration on wireless sensor networks. Consisting of three parts, the SystemC-based simulation environment of EMrise enables the HW/SW co-simulation for energy evaluation on heterogeneous sensor networks. The hardware platform of EMrise is further designed to facilitate the realistic energy consumption measurement and calibration as well as accurate energy exploration. In the meantime, a generic GA (genetic algorithm) based optimization framework of EMrise is also implemented to automatically, quickly and intelligently fine tune hundreds of possible solutions for the given task to find the best suitable energy-aware tradeoffs.

He received his Ph.D. from Ecole Centrale de Lyon, France. Now he is working as a senior researcher at CETC Group, GCI Science and Technology Co., Ltd. Canton, China.

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Author information

Authors and Affiliations

  1. CETC Group, GCI Science and Technology Co., Ltd, No. 381, Xingangzhong Road, Canton, 510310, Haizhu District, China

    Nanhao Zhu

  2. Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, 97187, Skellefteå, Sweden

    Athanasios V. Vasilakos

Authors
  1. Nanhao Zhu
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Corresponding author

Correspondence to Nanhao Zhu .

Editor information

Editors and Affiliations

  1. Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada

    Muhammad Zeeshan Shakir

  2. Center for Communication Systems Research, University of Surrey, Guildford, UK

    Muhammad Ali Imran

  3. Department of Electrical and Computer Engineering, Texas A&M University at Qatar, Doha, Qatar

    Khalid A. Qaraqe

  4. Kind Abdallah University of Science and Technology, Thuwal, Saudi Arabia

    Mohamed-Slim Alouini

  5. Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Skellefteå, Sweden

    Athanasios V. Vasilakos

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Zhu, N., V. Vasilakos, A. (2016). EMrise: An Energy Management Platform for WSNs/WBANs. In: Shakir, M.Z., Imran, M.A., A. Qaraqe, K., Alouini, MS., V. Vasilakos, A. (eds) Energy Management in Wireless Cellular and Ad-hoc Networks. Studies in Systems, Decision and Control, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-319-27568-0_16

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  • DOI: https://doi.org/10.1007/978-3-319-27568-0_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27566-6

  • Online ISBN: 978-3-319-27568-0

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