EDCC-RPL: Simulation Results for a Multi-Metric IoT Routing Protocol

EDCC-RPL simulation data compares a novel multi-metric objective function against conventional schemes for IoT routing. The dataset likely contains results from Contiki Cooja simulations with 20–50 nodes, measuring energy consumption, packet delivery ratio, and parent switching. Muhammad Asif Habib published the data on figshare in April 2026.

Use Cases

• Benchmarking new RPL objective functions based on the reported energy consumption and packet delivery ratio metrics.
• Analyzing trade-offs between energy efficiency, delay, and load balancing in IoT networks based on the described multi-metric integration.
• Validating simulation models for dense network topologies based on the reported parent switching (churn) reduction.

Strengths

• Dataset is small (9.5 KB) and likely focused on specific simulation outputs.
• Implementation code for the EDCC-RPL algorithm is publicly available for reproducibility.
• Results are quantified with specific improvements, such as up to 32% lower energy consumption.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is derived from simulation; real-world performance may vary.

Provenance

Source

Muhammad Asif Habib

Collection Method

Data likely generated from network simulations in the Contiki Cooja environment.

Freshness

Last updated 2026-04-21 17:51:58; freshness should be verified.