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Adaptive conflict resolution for IoT transactions: A reinforcement learning-based hybrid validation protocol.
Mohammad A Al Khaldy1, Ahmad Nabot2, Ahmad Al-Qerem3
1Business Intelligence & Data Analytics, University of Petra, Amman, Jordan.
Scientific Reports
|July 15, 2025
Summary
This study introduces a Reinforcement Learning-Based Hybrid Validation Protocol (RL-CC) for Internet of Things (IoT) transactions. RL-CC significantly reduces transaction aborts and boosts throughput for time-sensitive sensor data processing.
Area of Science:
- Computer Science
- Distributed Systems
- Artificial Intelligence
Background:
- Efficient transaction management is critical for sensor-based systems, especially in time-sensitive Internet of Things (IoT) applications.
- Maintaining data integrity and timely execution within temporal validity constraints poses a significant challenge.
Purpose of the Study:
- To introduce a novel Reinforcement Learning-Based Hybrid Validation Protocol (RL-CC) for adaptive edge-cloud coordination.
- To minimize transaction aborts and maximize throughput in time-sensitive IoT transactions.
Main Methods:
- The RL-CC protocol employs a two-phase validation: edge validation for preliminary conflict detection and prioritization, and cloud validation for global conflict resolution.
- A Reinforcement Learning (RL) mechanism dynamically adapts decision-making, prioritizing transactions and resolving conflicts based on a reward function considering performance parameters.
Main Results:
- RL-CC achieved a 90% reduction in transaction abort rates (5% vs. 45% for 2PL).
- The protocol demonstrated 3x higher throughput (300 TPS vs. 100 TPS) and 70% lower latency compared to traditional methods.
- Significant improvements in concurrency management and sensor data processing efficiency were observed.
Conclusions:
- The RL-CC protocol offers a scalable and adaptive solution for high-concurrency transaction processing in sensor-based applications.
- It effectively ensures transactions are executed within their temporal validity window, crucial for IoT networks and real-time systems.
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