Subtopic Deep Dive
Resource Allocation in Delay-Tolerant Networks
Research Guide
What is Resource Allocation in Delay-Tolerant Networks?
Resource allocation in delay-tolerant networks optimizes buffer space, transmission scheduling, and energy use under intermittent connectivity and scarce node resources.
This subtopic focuses on strategies for managing limited buffers and power in DTNs where end-to-end paths are absent. Key approaches include utility-based forwarding and epidemic routing adaptations (Fall, 2003; Spyropoulos et al., 2010). Over 230 papers address these methods, with foundational work cited 3000+ times.
Why It Matters
Resource allocation prevents buffer overflows and extends device lifetime in DTNs for disaster response and rural connectivity. Fall (2003) enables challenged internets with limited memory nodes, while Spyropoulos et al. (2010) support routing in emergency VANETs. Jin et al. (1999) highlight mobile client-server needs under power constraints, impacting IoT deployments.
Key Research Challenges
Buffer Overflow Prevention
Intermittent contacts cause rapid buffer filling in DTNs. Fall (2003) notes limited memory exacerbates partitions. Strategies prioritize drop policies amid unpredictable traffic.
Energy-Aware Scheduling
Battery devices deplete fast from store-carry-forward. Spyropoulos et al. (2010) taxonomy identifies power costs in disruption-tolerant routing. Optimization balances delivery with consumption.
Utility-Based Prioritization
Scarce resources demand message utility ranking. Demmer and Fall (2007) address stable topologies needing efficient allocation. Frameworks adapt to dynamic node capabilities.
Essential Papers
A delay-tolerant network architecture for challenged internets
Kevin Fall · 2003 · 3.1K citations
The highly successful architecture and protocols of today's Internet may operate poorly in environments characterized by very long delay paths and frequent network partitions. These problems are ex...
Satellite Communications in the New Space Era: A Survey and Future Challenges
Oltjon Kodheli, Eva Lagunas, Nicola Maturo et al. · 2020 · IEEE Communications Surveys & Tutorials · 1.2K citations
peer reviewed
Swarm Robotic Behaviors and Current Applications
Melanie Schranz, Martina Umlauft, Micha Sende et al. · 2020 · Frontiers in Robotics and AI · 412 citations
In swarm robotics multiple robots collectively solve problems by forming advantageous structures and behaviors similar to the ones observed in natural systems, such as swarms of bees, birds, or fis...
Client-server computing in mobile environments
Jing Jin, Sumi Helal, Ahmed K. Elmagarmid · 1999 · ACM Computing Surveys · 303 citations
Recent advances in wireless data networking and portable information appliances have engendered a new paradigm of computing, called mobile computing , in which users carrying portable devices have ...
A Survey on Nongeostationary Satellite Systems: The Communication Perspective
Hayder Al-Hraishawi, Houcine Chougrani, Steven Kisseleff et al. · 2022 · IEEE Communications Surveys & Tutorials · 270 citations
The next phase of satellite technology is being characterized by a new\nevolution in non-geostationary orbit (NGSO) satellites, which conveys exciting\nnew communication capabilities to provide non...
Routing in Flying Ad Hoc Networks: Survey, Constraints, and Future Challenge Perspectives
Omar Sami Oubbati, Mohammed Atiquzzaman, Pascal Lorenz et al. · 2019 · IEEE Access · 262 citations
International audience
Deployment of IoV for Smart Cities: Applications, Architecture, and Challenges
Li-Minn Ang, Kah Phooi Seng, Gerald K. Ijemaru et al. · 2018 · IEEE Access · 248 citations
The Internet of Vehicles (IoV) is a convergence of the mobile Internet and the Internet of Things (IoT), where vehicles function as smart moving intelligent nodes or objects within the sensing netw...
Reading Guide
Foundational Papers
Start with Fall (2003) for DTN architecture under resource limits (3059 citations), then Spyropoulos et al. (2010) taxonomy for routing designs, and Jin et al. (1999) for mobile constraints.
Recent Advances
Study Al-Hraishawi et al. (2022, 270 citations) for NGSO satellite DTN parallels and Alsamhi et al. (2022, 220 citations) for UAV rescue allocation.
Core Methods
Core techniques: epidemic forwarding with drop policies, utility maximization, DTLSR stable routing (Demmer & Fall, 2007), contact-based scheduling.
How PapersFlow Helps You Research Resource Allocation in Delay-Tolerant Networks
Discover & Search
Research Agent uses searchPapers and citationGraph on 'buffer management DTN' to map 230+ citations from Spyropoulos et al. (2010), then exaSearch uncovers utility frameworks in Fall (2003) descendants.
Analyze & Verify
Analysis Agent applies readPaperContent to Fall (2003) abstracts for resource constraints, verifyResponse with CoVe checks claims against 3059 citations, and runPythonAnalysis simulates buffer drop policies using pandas on contact traces for statistical verification.
Synthesize & Write
Synthesis Agent detects gaps in energy scheduling via contradiction flagging across Spyropoulos et al. (2010) and Demmer & Fall (2007); Writing Agent uses latexEditText, latexSyncCitations for Fall (2003), and latexCompile to draft allocation surveys.
Use Cases
"Simulate buffer occupancy in DTN epidemic routing under varying contact rates"
Research Agent → searchPapers('epidemic routing buffer DTN') → Analysis Agent → runPythonAnalysis(pandas simulation of Fall 2003 traces) → matplotlib plot of overflow probabilities.
"Draft LaTeX survey on DTN resource allocation citing top 10 papers"
Research Agent → citationGraph(Fall 2003) → Synthesis Agent → gap detection → Writing Agent → latexSyncCitations + latexCompile → PDF with sections on buffers and energy.
"Find GitHub repos implementing DTLSR routing from Demmer and Fall"
Research Agent → paperExtractUrls(Demmer Fall 2007) → Code Discovery → paperFindGithubRepo → githubRepoInspect → verified code for resource-aware DTN simulation.
Automated Workflows
Deep Research workflow scans 50+ DTN papers via searchPapers, structures buffer/energy reports with GRADE grading on Fall (2003) claims. DeepScan applies 7-step CoVe to verify Spyropoulos et al. (2010) taxonomy, flagging allocation gaps. Theorizer generates utility optimization theory from Demmer & Fall (2007) traces.
Frequently Asked Questions
What defines resource allocation in DTNs?
It optimizes buffers, scheduling, and energy under intermittent paths and node limits (Fall, 2003).
What methods address DTN resource issues?
Utility-based dropping, epidemic scheduling, and topology-stable routing like DTLSR (Demmer & Fall, 2007; Spyropoulos et al., 2010).
Which papers lead in citations?
Fall (2003, 3059 citations) on DTN architecture; Spyropoulos et al. (2010, 230 citations) on routing taxonomy.
What open problems persist?
Energy tradeoffs in multi-hop DTNs and adaptive utilities for heterogeneous devices lack scalable solutions.
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