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Fig 1.

Industry 4.0 Technologies.

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Fig 2.

Applications of IoT.

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Fig 3.

IoT Protocol Stack.

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Fig 4.

Key Research Issues in IoT Systems.

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Table 1.

Comparison of parent selection strategies in RPL-based IoT routing.

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Table 2.

Impact of energy-efficient and stable IoT routing on real-world applications.

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Fig 5.

Conceptual evolution of RPL objective functions from static single-metric routing to adaptive, application-aware routing enabled by EDCC-RPL.

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Table 3.

Systematic literature review on RPL objective function enhancements.

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Table 4.

Research evolution in RPL objective functions.

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Table 5.

Comparative analysis of RPL objective function enhancements.

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Table 6.

RPL objective function feature comparison.

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Table 7.

Summary of research gaps in existing RPL objective functions and how EDCC-RPL addresses them.

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Table 8.

Comparison of routing metric combinations in RPL-based IoT routing.

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Fig 6.

Research methodology for EDCC-RPL.

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Fig 7.

Metric for objective function in RPL.

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Fig 8.

Node energy metrics.

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Fig 9.

Parent selection process.

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Fig 10.

Flow chart of the proposed methodology.

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Table 9.

Practical criteria for dynamic weight adjustment in EDCC-RPL.

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Table 10.

Computational and communication overhead comparison between RPL variants.

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Table 11.

Impact of EDCC-RPL metrics on common routing-related security attacks.

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Fig 11.

Flow chart of the proposed methodology.

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Table 12.

Simulation parameters.

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Table 13.

Application traffic and Energy consumption parameters (Sky mote).

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Table 14.

Representativeness of evaluated network sizes and expected scalability.

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Table 15.

Topology characteristics of simulated IoT networks.

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Table 16.

Comparison of representative IoT hardware platforms.

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Fig 12.

Cooja simulator implementation.

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Fig 13.

Random network topologies for EDCC-RPL experiment.

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Fig 14.

PLR comparison among OF0, MRHOF, EA-EPL, and EDCC-RPL (Proposed).

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Fig 15.

PRR comparison among OF0, MRHOF, EA-EPL, and EDCC-RPL (Proposed).

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Fig 16.

CPU power comparison among OF0, MRHOF, EA-EPL, and EDCC-RPL (Proposed).

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Fig 17.

Average churn comparison among OF0, MRHOF, EA-EPL, and EDCC-RPL (Proposed).

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Fig 18.

Average hop count comparison among OF0, MRHOF, EA-EPL, and EDCC-RPL (Proposed).

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Fig 19.

Critical trade-off between network stability and performance.

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Fig 20.

Critical trade-off between energy efficiency and reliability.

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Fig 21.

Percentage improvement of EDCC-RPL over OF0 across five critical network metrics.

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Fig 22.

Synthesized “Efficiency Index” comparing the holistic performance of the four routing protocols.

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Fig 23.

Performance comparison under varying network sizes: (a) packet loss ratio (PLR), (b) packet reception ratio (PRR), (c) energy consumption, and (d) churn for the evaluated routing schemes.

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Fig 24.

Comprehensive radar chart comparing the overall performance of the four routing protocols.

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Table 17.

Processing and memory overhead comparison of RPL objective functions.

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Table 18.

Expected impact of traffic load on routing performance.

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Fig 25.

EDCC-RPL (Proposed) protocol efficiency deep dive.

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Fig 26.

EDynamic network performance analysis of EDCC-RPL (Proposed).

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Fig 27.

Multi-Metric correlation analysis of EDCC-RPL (Proposed).

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Table 19.

Mean performance with 95% confidence intervals across network densities.

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Fig 28.

Variance and 95% confidence interval analysis of routing performance across different network densities.

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Table 20.

Comparative summary of EDCC-RPL and related works.

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