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Computing Resource Allocation Scheme for DAG-Based IOTA Nodes.

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IOTA’s Tangle ledger faces performance issues due to uneven task distribution among full nodes. This study introduces a weight least connection (WLC) algorithm for efficient load balancing, improving data traffic distribution in Internet of Things (IoT) systems.

Keywords:
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Area of Science:

  • Distributed Ledger Technology (DLT)
  • Internet of Things (IoT)
  • Network Load Balancing

Background:

  • IOTA utilizes a Directed Acyclic Graph (DAG) called Tangle for IoT systems, aiming to overcome Blockchain limitations like latency and cost.
  • Current IOTA architecture struggles with performance due to manual, uneven task distribution between light and full nodes.
  • Overcharged full nodes degrade overall platform efficiency in the existing IOTA network.

Purpose of the Study:

  • To introduce an efficient mechanism for fair task distribution among IOTA full nodes.
  • To enhance the performance and scalability of the IOTA platform for IoT applications.
  • To address the load balancing challenges in distributed ledger technologies for IoT.

Main Methods:

  • Implementation of an enhanced resource allocation scheme based on the weight least connection (WLC) algorithm.
  • Fair task allocation strategy designed to distribute workload evenly across full nodes.
  • Testing and investigation of various implementation scenarios to assess performance improvements.

Main Results:

  • Demonstrated improved balancing of data traffic among full nodes.
  • The WLC algorithm effectively distributes tasks based on node weights and active connections.
  • Significant enhancement in overall platform performance through efficient load distribution.

Conclusions:

  • The proposed WLC-based mechanism effectively achieves load balancing in IOTA networks.
  • Fair task distribution is crucial for optimizing the performance of DLTs in IoT environments.
  • This approach offers a scalable solution for managing resources in decentralized IoT systems.