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International Conference on Network-Based Information Systems

NBiS 2017: Advances in Network-Based Information Systems pp 600–610Cite as

LEAS: A Load-Aware Energy-Efficient Adaptive Scheduling for Heterogeneous Wireless Sensor Networks

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 7))

Abstract

The growing interest in applications that demand certain end-to-end performance guarantees and the introduction of imaging and video sensors have posed additional challenges. Transmission of data in such cases requires both energy and QoS aware network management in order to ensure efficient usage of the sensor resources and effective access to the gathered measurements. In this paper we present LEAS, a Lightweight Energy-efficient Scheduling Scheme, a novel power management and routing scheme for heterogeneous wireless sensor networks.

LEAS is a network adaptive, lightweight, distributed, randomized algorithm where nodes make local decisions on whether to sleep, or to be active. Each node randomly chooses its active schedules. Thus, while reducing energy wasted due to idle listening, LEAS keeps latency low and balances the energy consumption among the sensors according to their residual energy levels. We present analysis and experiments to study energy savings, latency and load balancing with LEAS.

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Author information

Authors and Affiliations

  1. University of Central Arkansas, Conway, AR, USA

    Vamsi Paruchuri

  2. Indiana University Purdue University Indianapolis, Indianapolis, IN, USA

    Arjan Durresi

Authors
  1. Vamsi Paruchuri
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  2. Arjan Durresi
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Corresponding author

Correspondence to Vamsi Paruchuri .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

  3. Hosei University, Tokyo, Japan

    Makoto Takizawa

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© 2018 Springer International Publishing AG

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Paruchuri, V., Durresi, A. (2018). LEAS: A Load-Aware Energy-Efficient Adaptive Scheduling for Heterogeneous Wireless Sensor Networks. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_52

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65520-8

  • Online ISBN: 978-3-319-65521-5

  • eBook Packages: EngineeringEngineering (R0)

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