Computer Networks IEEE Papers
Computer networks remain one of the most active research areas in IEEE conferences and journals. Final-year and MTech projects that combine classical networking (routing, QoS, wireless) with modern themes — Software-Defined Networking (SDN), 5G/6G, IoT, network security and AI for networks — are highly valued by evaluators and industry.
At ProjectsatBangalore we map each topic to the right simulation or emulation stack (NS-3, Mininet, OMNeT++, Packet Tracer, OpenDaylight, Python) and supply IEEE base paper references, source code, performance graphs, university-format reports and viva support for VTU, Anna University, JNTU and autonomous colleges.
Tools & Technologies Used
Simulation, emulation and analysis platforms commonly required for IEEE computer network projects.
IEEE Computer Network Project Topics 2026
60+ topics with domain tags and the primary tools / technologies used for implementation and evaluation.
| # | IEEE Computer Network Project Topic | Tools & Technologies |
|---|---|---|
| 🔷 Software-Defined Networking (SDN) & NFV — Controllers, Traffic Engineering 2026 | ||
| 01 | SDNSDN-Based Dynamic Load Balancing and Traffic Engineering in Data Center Networks | Mininet, OpenDaylight / Ryu, Python, Wireshark |
| 02 | SDNIntent-Based Networking Framework for Automated Policy Enforcement using SDN | ONOS, Mininet, REST API, Python |
| 03 | SDNSDN Controller Performance Comparison — OpenDaylight vs ONOS vs Ryu under Failover | Mininet, OpenDaylight, ONOS, Ryu, Cbench |
| 04 | SDNNetwork Function Virtualisation (NFV) Service Chaining with Open Source MANO | Open Source MANO, OpenStack, Docker, Mininet |
| 05 | SDNSDN-Enabled QoS Routing for Multimedia Traffic using Priority Queues | Mininet, Ryu, OpenFlow, Python, iperf |
| 06 | SDNDDoS Mitigation Architecture using SDN Flow Statistics and Rate Limiting | Mininet, Ryu / Floodlight, Python, sFlow |
| 📡 5G / 6G / Wireless Networks — Slicing, RAN, Massive MIMO 2026 | ||
| 07 | 5GNetwork Slicing Resource Allocation for eMBB, URLLC and mMTC Services in 5G | NS-3 (5G-LENA), MATLAB, Python |
| 08 | 5GHandover Optimisation in Heterogeneous 5G Networks using Machine Learning | NS-3, Python (scikit-learn), MATLAB |
| 09 | 5GEnergy-Efficient Resource Scheduling in Massive MIMO 5G Base Stations | MATLAB, NS-3, Python |
| 10 | 5GmmWave Beamforming and Blockage Mitigation for Outdoor 5G Access | NS-3 mmWave module, MATLAB |
| 11 | 5GV2X Communication Performance Evaluation in 5G NR for Autonomous Vehicles | NS-3, SUMO, Python |
| 12 | WirelessWi-Fi 6 (802.11ax) vs Wi-Fi 5 Throughput and Latency Comparison under Dense Load | NS-3, Wireshark, iperf |
| 🌐 IoT Networking — RPL, LoRaWAN, 6LoWPAN, Contiki 2026 | ||
| 13 | IoTRPL Routing Protocol Enhancement for Energy Efficiency in Wireless Sensor Networks | Contiki / Cooja, NS-3, Python |
| 14 | IoTLoRaWAN Network Performance under Scalability and Interference | NS-3 LoRa module, ChirpStack (optional), Python |
| 15 | IoT6LoWPAN Border Router Design and IPv6 Connectivity for Constrained Devices | Contiki, Cooja, Wireshark |
| 16 | IoTMQTT vs CoAP Protocol Comparison for Smart Home Sensor Networks | Mosquitto, Node-RED, Wireshark, Raspberry Pi |
| 17 | IoTSecure Over-the-Air Firmware Update Protocol for IoT Devices | ESP32 / Arduino, MQTT, TLS, Python |
| 18 | IoTCluster-Based Data Aggregation to Reduce Energy Consumption in WSN | NS-2 / NS-3, MATLAB, Python |
| 🔒 Network Security — IDS, Firewall, Encryption, Trust 2026 | ||
| 19 | SecurityMachine Learning-Based Network Intrusion Detection System (NIDS) using CIC-IDS Dataset | Python, scikit-learn / TensorFlow, Wireshark, CICFlowMeter |
| 20 | SecuritySDN-Based Stateful Firewall and Access Control List Enforcement | Mininet, Ryu, OpenFlow, Python |
| 21 | SecurityLightweight Cryptography Evaluation for Constrained IoT Devices (ASCON, PRESENT) | Python / C, Contiki, energy profiling |
| 22 | SecurityMan-in-the-Middle Attack Detection in Wireless LANs using Anomaly Detection | Wireshark, Scapy, Python, Aircrack-ng (lab) |
| 23 | SecurityBlockchain-Based Secure Routing Protocol for Ad Hoc Networks | NS-3, Python (blockchain module), Ethereum testnet (optional) |
| 24 | SecurityZero-Trust Network Access (ZTNA) Prototype with Continuous Authentication | Python, JWT, Docker, Nginx, Keycloak |
| 🛣️ Routing Protocols · MANET · VANET · Ad Hoc 2026 | ||
| 25 | RoutingPerformance Comparison of AODV, DSR and OLSR under Mobility in MANETs | NS-2 / NS-3, BonnMotion, Python |
| 26 | VANETEmergency Message Dissemination Protocol for Vehicular Ad Hoc Networks | NS-3, SUMO, TraCI, Python |
| 27 | RoutingMultipath Routing with Load Balancing for Wireless Mesh Networks | NS-3, MATLAB, Python |
| 28 | VANETGeographic Routing with Predictive Mobility for Highway VANET Scenarios | NS-3, SUMO, Python |
| 29 | RoutingEnergy-Aware Routing Protocol for Underwater Sensor Networks | NS-3 (UAN), MATLAB |
| 30 | RoutingSegment Routing (SRv6) Traffic Engineering in IP/MPLS Backbone | Mininet, FRRouting, Wireshark |
| 📊 QoS · Congestion Control · Traffic Engineering 2026 | ||
| 31 | QoSAdaptive Congestion Control for High-Speed Networks — BBR vs CUBIC Comparison | NS-3, Linux TC, iperf, Wireshark |
| 32 | QoSDifferentiated Services (DiffServ) Implementation for Voice and Video QoS | NS-3, Mininet, Wireshark |
| 33 | QoSActive Queue Management (AQM) — RED, CoDel, PIE Performance Study | NS-3, Linux, iperf, Python plotting |
| 34 | QoSBandwidth Reservation and Call Admission Control for Wireless Networks | NS-3, MATLAB |
| 35 | QoSMPLS Traffic Engineering with Constraint-Based Routing | GNS3 / Mininet, FRRouting, Wireshark |
| 🤖 AI / Machine Learning for Computer Networks 2026 | ||
| 36 | AI/MLDeep Reinforcement Learning for SDN Traffic Engineering and Path Selection | Mininet, Ryu, Python, TensorFlow / PyTorch |
| 37 | AI/MLTraffic Classification using Deep Learning on Encrypted Flows | Python, TensorFlow, CICFlowMeter, Wireshark |
| 38 | AI/MLAnomaly Detection in Network Telemetry with Autoencoders | Python, TensorFlow, NetFlow / sFlow data |
| 39 | AI/MLPredictive Handover Management in Cellular Networks using LSTM | NS-3, Python, TensorFlow / Keras |
| 40 | AI/MLGraph Neural Network for Network Topology Optimisation | Python, PyTorch Geometric, NetworkX |
| 41 | AI/MLFederated Learning for Collaborative Network Intrusion Detection | Python, Flower / TensorFlow Federated, Docker |
| ☁️ Edge Computing · Cloud · Data Center Networks 2026 | ||
| 42 | EdgeTask Offloading Decision Framework for Mobile Edge Computing (MEC) | NS-3 / Python simulator, MATLAB |
| 43 | EdgeKubernetes Network Policy and Service Mesh Performance (Istio / Linkerd) | Kubernetes, Istio, Prometheus, Grafana |
| 44 | DCFat-Tree vs Clos Data Center Topology — Throughput and Latency Comparison | Mininet, Python, iperf |
| 45 | CloudContainer Network Interface (CNI) Plugin Comparison — Calico, Flannel, Cilium | Kubernetes, Docker, Wireshark |
| 46 | EdgeLatency-Aware Content Caching Strategy for Edge CDN Nodes | NS-3, Python, Redis (optional) |
| 🔬 Optical Networks · WSN · Protocol Design · Simulation Studies 2026 | ||
| 47 | OpticalElastic Optical Network Routing and Spectrum Assignment Algorithms | MATLAB, Python, custom simulator |
| 48 | WSNCoverage and Connectivity Optimisation in Wireless Sensor Networks | NS-2 / NS-3, MATLAB, Python |
| 49 | SimulationEnd-to-End Delay and Packet Loss Analysis of TCP Variants (Reno, CUBIC, BBR) | NS-3, Wireshark, Python plotting |
| 50 | SimulationComparative Study of Network Simulators — NS-3 vs OMNeT++ vs Mininet | NS-3, OMNeT++, Mininet, documentation |
| 51 | QoSVoice over IP (VoIP) QoS Measurement under Congestion and Jitter | Asterisk / Softphone, Wireshark, Mininet |
| 52 | WirelessCognitive Radio Spectrum Sensing and Dynamic Spectrum Access | MATLAB, GNU Radio (optional), Python |
| 53 | IoTTime-Sensitive Networking (TSN) for Industrial IoT — Latency Bound Analysis | OMNeT++ / INET, Python |
| 54 | SecurityHomomorphic Encryption for Privacy-Preserving Network Telemetry Analysis | Python (PySEAL / TenSEAL), Docker |
| 55 | EdgeDigital Twin of Campus Network for What-If Traffic Analysis | Mininet, ONOS, Grafana, Python |
| 56 | RoutingNamed Data Networking (NDN) Content Retrieval Performance Study | ndnSIM (NS-3), Python |
| 57 | 5GOpen RAN (O-RAN) Intelligent Controller Use-Case Simulation | NS-3, Python, xApp framework concepts |
| 58 | AI/MLNetwork Traffic Forecasting using Transformer Models for Capacity Planning | Python, PyTorch, real or synthetic traffic traces |
| 59 | SDNP4 Programmable Data Plane for In-Network Computing Use Cases | P4, BMv2, Mininet, P4Runtime |
| 60 | SimulationFull-Stack Campus Network Design and Validation using Packet Tracer / GNS3 | Cisco Packet Tracer, GNS3, Wireshark |
All topics are aligned with IEEE 2024–2026 trends. Contact us for the specific base paper DOI, complete source code (NS-3 / Mininet / Python), result plots, university-format report, PPT and viva Q&A for any topic above.
Why Choose Us for IEEE Computer Network Projects?
Bangalore-based guidance for BE, BTech and MTech computer network projects — simulation, emulation, analysis and documentation.
SDN & Programmable Networks
Mininet topologies, OpenDaylight / Ryu / ONOS controllers, OpenFlow apps, P4 data planes and NFV service chaining — complete SDN project packages with controller code and evaluation scripts.
5G / Wireless & VANET
NS-3 5G-LENA and mmWave modules, network slicing, handover, V2X with SUMO integration, and Wi-Fi performance studies with full result analysis and IEEE base papers.
Network Security & IDS
ML-based intrusion detection, SDN firewalls, lightweight crypto for IoT, blockchain routing security and zero-trust prototypes — with datasets, trained models and documentation.
AI / ML for Networks
Deep RL for traffic engineering, traffic classification, anomaly detection, predictive handover and GNN topology optimisation — Python/TensorFlow/PyTorch code and reproducible notebooks.
Frequently Asked Questions — IEEE Computer Network Projects
Computer Network Project Lab — Bangalore
Simulation workstations, Mininet/SDN testbeds, Wireshark analysis stations and consultation desks for BE, BTech and MTech computer network scholars.
Simulation Lab
Controller Testbed
Analysis Station
WSN Bench
ML Workstations
Campus Design
Lab Setup
Preparation