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Monitoring Bats in the Wild: On Using Erasure Codes for Energy-Efficient Wireless Sensor Networks

Published: 11 February 2016 Publication History

Abstract

We explore the advantages of using Erasure Codes (ECs) in a very challenging sensor networking scenario, namely, monitoring and tracking bats in the wild. The mobile bat nodes collect contact information that needs to be transmitted to stationary base stations whenever they are in communication range. We are particularly interested in improving the overall communication reliability of the wireless communication. The mobile nodes are capable of storing a few 100kB of data and to exchange contact information in aggregated form. Due to the continuous flight of the bats and the forest environment, the wireless channel quality varies quickly and, thus, the communication is in general assumed to be highly unreliable. Given the very strict energy constraints of the mobile node and the inherently asymmetric channels, conventional techniques such as full data replication or Automatic Repeat Request to improve the communication reliability are prohibitive. In this work, we investigate the tradeoff between reliability achieved and the cost in form of additional transmissions, that is, the additional energy costs. Our energy measurements on a real platform combined with larger-scale simulation of the wireless communication clearly indicate the advantages of using ECs in our scenario. The results are also applicable in other configurations when unreliable communication channels meet tight energy budgets.

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    Published In

    cover image ACM Transactions on Sensor Networks
    ACM Transactions on Sensor Networks  Volume 12, Issue 1
    March 2016
    215 pages
    ISSN:1550-4859
    EISSN:1550-4867
    DOI:10.1145/2892663
    • Editor:
    • Chenyang Lu
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 11 February 2016
    Accepted: 01 January 2016
    Revised: 01 July 2015
    Received: 01 September 2014
    Published in TOSN Volume 12, Issue 1

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    Author Tags

    1. Wireless sensor networks
    2. energy efficiency
    3. erasure codes
    4. forward error correction
    5. reliable communication

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    • (2020)Thinking small: Next-generation sensor networks close the size gap in vertebrate biologgingPLOS Biology10.1371/journal.pbio.300065518:4(e3000655)Online publication date: 2-Apr-2020
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