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Opportunistic Energy Cooperation Mechanism for Large Internet of Things

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Abstract

The limited capacity of battery power becomes one of the major constraints in the applications of Internet of things (IoT). Ambient energy harvesting technologies and wireless energy transfer technologies have appeared to resolve the energy supply problem, making it possible for the sensor nodes to operate perpetually. In this paper, we focus on energy efficiency maximization and network throughput optimization problems for energy cooperation in Energy Harvesting Cooperative Wireless Sensor Networks (EHC-WSNs). In order to maximize the efficiency of energy charging phase, a Region-based Proactive Energy Cooperation (RPEC) charging strategy is developed, which is used to charge the life-critical cooperators or receivers in time. By introducing a novel metric that converts optimal forwarder selection from the multi-dimensional problem to one-dimensional problem, an Energy-Neutral-based Opportunistic Cooperative Routing (ENOCR) algorithm is proposed to optimize the relay nodes selection and improve the network throughput. Extensive simulations show that the proposed Opportunistic Energy Cooperation Mechanism (OECM) can significantly improve energy efficiency and network lifetime.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (61672220), key technology research and development plan of Hunan (2017GK2030).

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Authors and Affiliations

  1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China

    Jinyu Hu, Juan Luo & Keqin Li

  2. Department of Computer Science, State University of New York, New Paltz, NY, 12561, USA

    Keqin Li

Authors
  1. Jinyu Hu
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  2. Juan Luo
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  3. Keqin Li
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Correspondence to Juan Luo.

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Hu, J., Luo, J. & Li, K. Opportunistic Energy Cooperation Mechanism for Large Internet of Things. Mobile Netw Appl 23, 489–502 (2018). https://doi.org/10.1007/s11036-018-1034-y

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  • DOI: https://doi.org/10.1007/s11036-018-1034-y

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