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Interconnected Wireless Sensors with Energy Harvesting

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Analytical and Stochastic Modelling Techniques and Applications (ASMTA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9081))

Abstract

This paper studies interconnected wireless sensors with the paradigm of Energy Packet Networks (EPN) which were previously introduced. In the EPN model, both data transmissions and the flow of energy are discretized, so that an energy packet (EP) is the minimum amount of energy (say in microjules) that is needed to process and transmit a data packet (DP) or to process a job. Previous work has modeled such systems to determine the relation between energy flow and DP transmission, or to study the balance between energy and the processing of jobs in Cloud Servers. The lack of energy, in addition to processing times, is the main source of latency in networks of sensor nodes. Thus this paper models this phenomenon, and shows that under some reasonable conditions, assuming feedforward flow of data packets and local consumption and leakage of energy, such networks have product form solutions.

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Author information

Authors and Affiliations

  1. Intelligent Systems and Networks Group, Department of Electrical and Electronic Engineering, Imperial College, London, SW7 2BT, UK

    Erol Gelenbe

  2. Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca’ Foscari di Venezia, via Torino 155, Venezia, Italy

    Andrea Marin

Authors
  1. Erol Gelenbe
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  2. Andrea Marin
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Corresponding author

Correspondence to Andrea Marin .

Editor information

Editors and Affiliations

  1. Politecnico di Milano, Milano, Italy

    Marco Gribaudo

  2. Università degli Studi di Torino, Torino, Italy

    Daniele Manini

  3. Universität Münster, Münster, Germany

    Anne Remke

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Gelenbe, E., Marin, A. (2015). Interconnected Wireless Sensors with Energy Harvesting. In: Gribaudo, M., Manini, D., Remke, A. (eds) Analytical and Stochastic Modelling Techniques and Applications. ASMTA 2015. Lecture Notes in Computer Science(), vol 9081. Springer, Cham. https://doi.org/10.1007/978-3-319-18579-8_7

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  • DOI: https://doi.org/10.1007/978-3-319-18579-8_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18578-1

  • Online ISBN: 978-3-319-18579-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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