Distributed Group Consensus Algorithms for Mobile Wireless Sensor Networks

This paper deals with distributed algorithms for mobile wireless sensor networks, used for monitoring the con guration of a dynamic group. We rst present a simple distributed static group consensus algorithm allowing every node in the network to obtain the knowledge of its connected components. We give valid theoretical bounds on the convergence time for this static algorithm. Then we propose two major extensions: the rst one consists in using more precision in the proximity information of nodes sharing similar characteristics, the second extension is designed for the case of mobile networks using a periodical reevaluation of the group detection. We validate these algorithms by implementing them in an original and challenging application scenario, in the context of a bicycle race.

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Source https://inria.hal.science/hal-00985965
Author Lauzier, Matthieu, Fraboulet, Antoine, Gorce, Jean-Marie, Risset, Tanguy
Maintainer CCSD
Last Updated May 5, 2026, 12:28 (UTC)
Created May 5, 2026, 12:28 (UTC)
Identifier Report N°: RR-8518
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Software and Cognitive radio for telecommunications (SOCRATE) ; Centre Inria de l'Université Grenoble Alpes ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-CITI Centre of Innovation in Telecommunications and Integration of services (CITI) ; Institut National des Sciences Appliquées de Lyon (INSA Lyon) ; Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées de Lyon (INSA Lyon) ; Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)
creator Lauzier, Matthieu
date 2013-04-12T00:00:00
harvest_object_id 54d49575-4cdb-41e7-99ac-c19afad7a05d
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-10-06T00:00:00
set_spec type:REPORT