55b6dc9154958efcffc69a474cc46f5f AppSci_a2022v12n23p12479iENG.pdf ff3010f7aa23e47fea7ce87a2de0c6d175b3a805 AppSci_a2022v12n23p12479iENG.pdf 25c3985ad22d74091c77edc3221b0c633566e08a3bcc84a5d80e9fd14bd6b8d6 AppSci_a2022v12n23p12479iENG.pdf Title: A Controller-Driven Approach for Opportunistic Networking Subject: Opportunistic networks (OppNets) leverage opportunistic contacts to flow data across an infrastructure-free network. As of yet, OppNets' performance depends on applying the most suitable forwarding strategy based on the OppNet typology. On the other hand, software-defined networking (SDN) is a paradigm for wired networks that decouples the control and data planes. The control plane oversees the network to configure the data plane optimally. Our proposal uses SDN-like controllers to build a partial overview of the opportunistic network. The forwarding strategy uses this context information to achieve better network performance. As a use case of our proposal, in the context of an OppNet quota-based forwarding algorithm, we present a controller-driven architecture to tackle the congestion problem. Particularly, the controller-driven architecture uses the context information on the congestion of the network to dynamically determine the message replication limit used by the forwarding algorithm. A simulation based on real and synthetic mobility traces shows that using context information provided by the controller to configure the forwarding protocol increments the delivery ratio and keeps a good latency average and a low overhead compared with the baseline forwarding protocols based on message replication. These results strengthen the benefits of using supervised context information in the forwarding strategy in OppNets. Keywords: congestion control; data forwarding; intermittently connected networks; opportunistic networks Author: MariaCarmen de Toro, Carlos Borrego and Sergi Robles Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Tue Dec 6 13:18:56 2022 CET ModDate: Tue Dec 6 13:20:40 2022 CET Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 36 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 2377407 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- NKQZQS+URWPalladioL-Bold Type 1 Custom yes yes no 10 0 JZHSCF+URWPalladioL-Roma Type 1 Custom yes yes no 15 0 DFWXXN+URWPalladioL-Ital Type 1 Custom yes yes no 19 0 CRVMKC+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 37 0 AUFSPX+PazoMath-Italic Type 1 Builtin yes yes no 69 0 SOSTRQ+CMR10 Type 1 Builtin yes yes no 73 0 LRREBD+Lato-Regular TrueType WinAnsi 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Context-Based Routing in Opportunistic Networks Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@50d0686 Item: Title: Congestion Control in OppNets Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7a3d45bd Item: Title: Control Layer Architecture Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1e7c7811 Children: Item: Title: Control Metadata Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@77ec78b9 Children: Item: Title: Context Indicator Measurement Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1a3869f4 Item: Title: Control Directive Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@a38d7a3 Item: Title: Context Measurements Dissemination Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@77f99a05 Item: Title: Context Measurements Aggregation Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@63440df3 Item: Title: Controller Architecture Destination: 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Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@612fc6eb Item: Title: Applying a Directive Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1060b431 Item: Title: Buffer Management Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@612679d6 Item: Title: Experimentation Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@11758f2a Children: Item: Title: Performance Metrics Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@e720b71 Item: Title: Scenarios Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1b26f7b2 Item: Title: Message Generation Distribution Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@491cc5c9 Children: Item: Title: Inverted Smoothed Top Hat Distribution (ISTH) Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@74ad1f1f Item: Title: Scenarios' Message Generation Distribution Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@6a1aab78 Item: Title: Environment Setup Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@462d5aee Children: Item: Title: Common Configuration Settings Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@69b0fd6f Item: Title: Scenario and Control Configuration Settings Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@757942a1 Item: Title: Results Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@4a87761d Children: Item: Title: Replication Limit Tendency for the Control Configuration Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@66d1af89 Item: Title: Buffer Occupancy Evaluation Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@8646db9 Item: Title: Performance Evaluation Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@37374a5e Item: Title: Evaluation of the Control Settings Impact on the Delivery Ratio Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@4671e53b Item: Title: Conclusions Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@2db7a79b Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@6950e31 Info: Title: A Controller-Driven Approach for Opportunistic Networking Author: MariaCarmen de Toro, Carlos Borrego and Sergi Robles Subject: Opportunistic networks (OppNets) leverage opportunistic contacts to flow data across an infrastructure-free network. As of yet, OppNets' performance depends on applying the most suitable forwarding strategy based on the OppNet typology. On the other hand, software-defined networking (SDN) is a paradigm for wired networks that decouples the control and data planes. The control plane oversees the network to configure the data plane optimally. Our proposal uses SDN-like controllers to build a partial overview of the opportunistic network. The forwarding strategy uses this context information to achieve better network performance. As a use case of our proposal, in the context of an OppNet quota-based forwarding algorithm, we present a controller-driven architecture to tackle the congestion problem. Particularly, the controller-driven architecture uses the context information on the congestion of the network to dynamically determine the message replication limit used by the forwarding algorithm. A simulation based on real and synthetic mobility traces shows that using context information provided by the controller to configure the forwarding protocol increments the delivery ratio and keeps a good latency average and a low overhead compared with the baseline forwarding protocols based on message replication. These results strengthen the benefits of using supervised context information in the forwarding strategy in OppNets. 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