COMMUNICATION MECHANISMS FOR MESSAGE DELIVERY IN HETEROGENEOUS NETWORKS PRONE TO EPISODIC CONNECTIVITY

Rao Naveed Bin Rais 1
1 PLANETE - Protocols and applications for the Internet
Inria Grenoble - Rhône-Alpes, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : As the networks are becoming increasingly heterogeneous, it is expected that future internetworks will interconnect different types of network including infrastructure-based and ad-hoc wireless networks including MANETs. Additionally, a number of emerging applications such as environmental monitoring, emergency response, require that future internetworks be tolerant to connectivity disruptions. Interconnecting these heterogeneous networks poses several challenges including seamless message delivery and identification of mobile nodes. The contributions of this thesis are three fold. First, we present a classification of existing DTN routing protocols by breaking up existing routing strategies into tunable routing modules. Then, we identify some design guidelines to show how and when a given routing module should be used. Second, we propose a new framework called MeDeHa to provide message delivery across heterogeneous networks prone to intermittent connectivity. MeDeHa is able to seamlessly bridge infrastructure-based and ad-hoc networks, through devices carrying multiple interfaces and by the integration of existing protocols. We evaluate MeDeHa through extensive simulations using realistic synthetic and real mobility traces, and by performing hybrid experiments which run partly on simulator and partly on real machines. Third, we propose a naming mechanism called HeNNA for heterogeneous networks prone to connectivity disruptions, which provides message delivery to nodes irrespective of their IP addresses. Henna is compatible with the status-quo Internet routing. We also implement HeNNA within MeDeHa to showcase the operation of complete message delivery protocol suite.
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Rao Naveed Bin Rais. COMMUNICATION MECHANISMS FOR MESSAGE DELIVERY IN HETEROGENEOUS NETWORKS PRONE TO EPISODIC CONNECTIVITY. Networking and Internet Architecture [cs.NI]. Université Nice Sophia Antipolis, 2011. English. ⟨tel-00590626⟩

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