Defense & Government Research Lab
Reproducible MANET and mesh protocol experiments in the cloud.
AI-built multi-vendor mesh topologies for protocol research under degraded conditions. Cloud-hosted. Artifact-ready for publication. Complementary to CORE/EMANE for RF-channel fidelity research, with cloud-native iteration speed for protocol-layer work.
Mesh and MANET research tools compared
Honest positioning. NetPilot is not a replacement for CORE/EMANE on RF-channel fidelity (that is the established open-source reference environment). NetPilot is the cloud iteration layer for protocol-level research, multi-vendor comparison, and artifact-ready reproducibility.
| Dimension | CORE/EMANE | ns-3 | ContainerLab | EVE-NG | GNS3 | NetPilot |
|---|---|---|---|---|---|---|
| AI-built from plain-English prompt | ❌ | ❌ | ❌ | ❌ | ❌ | ✅ |
| Cloud self-serve | ❌ on-prem | ❌ self-hosted | ❌ self-hosted | ❌ self-hosted VM | ❌ self-hosted | ✅ |
| Real NOS CLIs | ⚠️ via VMs | ❌ simulator | ✅ BYOI | ✅ BYOI | ✅ BYOI | ✅ FRR + commercial |
| RF-channel fidelity (PHY modeling) | ✅ reference-grade | ⚠️ modules | ❌ out of scope | ❌ out of scope | ❌ out of scope | ❌ out of scope |
| Artifact-ready reproducibility | ⚠️ scenario files | ✅ scripts | ⚠️ YAML topo | ⚠️ lab files | ⚠️ project files | ✅ prompt = artifact |
| Multi-vendor NOS interop | ⚠️ via VMs | ❌ | ✅ BYOI | ✅ BYOI | ✅ BYOI | ✅ |
| Setup time | Days (install + scenario) | Days (scripts) | Hours (install + images) | Hours–days (VM + images) | Hours (install + images) | ~2 minutes |
Babel vs OSPF vs IS-IS under progressive packet loss
A canonical mesh-routing experiment: compare three routing protocols on identical topologies under increasing packet-loss conditions. Which converges fastest? Which is most stable? Which misbehaves at what loss threshold?
The NetPilot workflow: describe the experiment in plain English — "8-node mesh with FRR running Babel, 8-node mesh with FRR running OSPF, and 8-node mesh with FRR running IS-IS — same topology, same node positions. tc netem injects correlated packet loss progressively from 0% to 20%. Capture per-protocol convergence time, route table stability, and adjacency flaps."
NetPilot generates FRR configurations for all three protocols, deploys all three labs in ~2 minutes each, runs the impairment script, and produces per-protocol data that's reproducible by any researcher with the same prompt. The prompt + generated configs become the artifact.
Complement to CORE/EMANE — not replacement
CORE/EMANE wins
- • RF-channel fidelity and waveform modeling
- • PHY-layer channel effects and interference
- • Established open-source reference lineage
- • On-premises deployment for regulated environments
NetPilot wins
- • AI-built topologies from plain-English prompts
- • Cloud self-serve — minutes to running lab
- • Multi-vendor NOS (FRR + commercial) for interop research
- • Artifact-ready reproducibility for publication
Use both. CORE/EMANE for RF-fidelity validation; NetPilot for protocol-layer iteration and multi-vendor comparison. The two target different layers of the stack.
Use cases for defense and government research teams
Four research workflows where cloud-native protocol iteration adds speed to an existing RF-fidelity toolchain.
Cross-protocol mesh behavior
Compare Babel vs OSPF vs IS-IS convergence and route stability under packet loss on identical mesh topologies. Reproducible per-protocol behavioral data in the cloud. The comparison cited in the NetPilot OSPF-vs-Babel analysis is the canonical starting point.
OSPF vs Babel under link failure →Packet loss, latency, and jitter impairment research
tc netem on Linux endpoints provides scriptable, reproducible IP-layer impairment — uniform and correlated packet loss, latency, jitter, duplication, reordering, rate limiting, and link-flap patterns. Scripted, repeatable, capturable per experiment.
Multi-vendor mesh research
FRR mesh interoperating with commercial NOSes — real CLIs, real protocol behavior, real adjacency state. Useful for researching cross-implementation behavior that single-vendor simulators cannot surface.
AI-powered MANET research labs →Reproducible artifacts for FFRDC / academic publication
The prompt + generated configs + deployable topology form an artifact another researcher can run in minutes. Matches SIGCOMM / CoNEXT / IMC artifact-evaluation expectations — addresses the environment-setup bottleneck that drives reproducibility rates below one-third in networking research.
Protocols and impairments supported
IP and routing-protocol layer coverage. For RF-channel fidelity, pair with CORE/EMANE.
- Routing: BGP, OSPF (multi-area), IS-IS (multi-level, wide metrics), Babel, RIP, EIGRP (on vendor NOS)
- EVPN (Type-2/3/5, symmetric/asymmetric IRB) and VXLAN
- SRv6 (uSID endpoint behaviors, L3VPN over SRv6) and SR-MPLS
- PIM (ASM, SSM) for multicast mesh research
- BFD (multi-hop, authenticated)
- Impairments (tc netem): packet loss (uniform, correlated), latency, jitter, duplication, reordering, rate limit, link flap
- Malformed packet injection via Scapy (protocol-layer only)
- Multi-vendor NOS: FRR + Cisco IOL / Juniper cRPD / Arista cEOS / Nokia SR Linux (BYOI)
Scope note
NetPilot operates at the IP and routing-protocol layer. Research workflows requiring RF-channel fidelity (PHY modeling, waveform simulation) are best served by CORE/EMANE. NetPilot does not hold FedRAMP, IL4, or IL5 authorization; research labs with those compliance requirements should use on-premises tooling.
Defense & Government Research FAQ
Scenario-phrased questions from research practitioners.
Related reading
AI-Powered MANET Research Labs
Reproducible mesh network experiments in the cloud — for defense, academic, and community mesh research.
TutorialOSPF vs Babel Under Link Failure
Head-to-head routing protocol convergence comparison under impairment.
TutorialFRRouting Cloud Labs
Six FRR protocols in one prompt — BGP, OSPF, IS-IS, Babel, EVPN, SRv6.
GuideBGP Convergence Research
Methodology and artifact patterns for BGP convergence research.
ComparisonKeysight vs VIAVI vs NetPilot: Research Lab Comparison
Honest comparison across research tooling categories.
HubNetwork Research Lab
The parent hub — all six research segments.