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Self-stabilising target counting in wireless sensor networks using Euler integration

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Author(s)

Danilo Pianini, Simon Andrew Dobson, Mirko Viroli

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Abstract

Target counting is an established challenge for sensor networks: given a set of sensors that can count (but not identify) targets, how many targets are there? The problem is complicated because of the need to disambiguate duplicate observations of the same target by different sensors. A number of approaches have been proposed in the literature, and in this paper we take an existing technique based on Euler integration and develop a fully-distributed, self-stabilising solution. We derive our algorithm within the field calculus from the centralised presentation of the underlying integration technique, and analyse the precision of the counting through simulation of several network configurations.
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Original languageEnglish
Title of host publication2017 IEEE 11th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)
PublisherIEEE Computer Society
Pages11-20
ISBN (Electronic)9781509065554
DOIs
Publication statusPublished - 12 Oct 2017
Event11th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2017) - University of Arizona, Tucson, United States
Duration: 18 Sep 201722 Sep 2017
Conference number: 11
https://saso2017.telecom-paristech.fr/

Conference

Conference11th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2017)
Abbreviated titleSASO
CountryUnited States
CityTucson
Period18/09/1722/09/17
Internet address

    Research areas

  • Wireless Sensor Networks, Algebraic Topology, Self-stabilising Algorithms

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ID: 250560264