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Adaptive Deployment for Pervasive Data Gathering in Connectivity-Challenged Environments

Tahiry Razafindralambo 1 Nathalie Mitton 1, 2 Aline Carneiro Viana 3 Marcelo Dias de Amorim 4 Katia Obraczka 5
1 POPS - System and Networking for Portable Objects Proved to be Safe
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe, IRCICA
3 ASAP - As Scalable As Possible: foundations of large scale dynamic distributed systems
UR1 - Université de Rennes 1, Inria Saclay - Ile de France, INSA - Institut National des Sciences Appliquées, CNRS - Centre National de la Recherche Scientifique : UMR
4 NPA - Networks and Performance Analysis
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : Some current and future pervasive data driven applications must operate in "extreme" environments where end-to-end connectivity cannot be guaranteed at all times. In fact, it is likely that in these environments partitions are, rather than exceptions, part of the normal network operation. In this paper, we introduce cover, a suite of adaptive strategies to control the trajectory of "infrastructure" nodes, which are deployed to bridge network partitions and thus play a critical role in data delivery. In particular, we focus on applications where end (or target) nodes are mobile and their mobility is unknown. Our goal is then to deploy and manage infrastructure nodes so that application-level requirements such as reliable data delivery and latency are met while still limiting deployment cost and balancing the load among infrastructure nodes. Cover achieves these goals using a localized and adaptive approach to infrastructure management based on the observed mobility of target nodes. To this end, Cover takes advantage of contact opportunities between infrastructure nodes to exchange information about their covered zones, and thus, help monitor targets in a more efficient fashion. Through extensive simulations, we show how Cover's adaptive features yield a fair distribution of targets per infrastructure node based only on limited network knowledge.
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Submitted on : Monday, April 12, 2010 - 7:04:01 PM
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Tahiry Razafindralambo, Nathalie Mitton, Aline Carneiro Viana, Marcelo Dias de Amorim, Katia Obraczka. Adaptive Deployment for Pervasive Data Gathering in Connectivity-Challenged Environments. Eighth Annual IEEE International Conference on Pervasive Computing and Communications (PERCOM), Mar 2010, Mannheim, Germany. pp.51-59, ⟨10.1109/PERCOM.2010.5466992⟩. ⟨hal-00472656⟩



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