Managing Consensus-Based Cooperative Task Allocation for IIoT Networks

TL;DR

This paper introduces CONTASKI, a consensus-based mechanism for task allocation in IIoT networks that improves task distribution efficiency and quality of information through collaborative decision-making.

Contribution

It presents a novel distributed task allocation mechanism leveraging consensus and similarity capabilities, evaluated through NS-3 simulations.

Findings

100% task allocation in networks with 75 and 100 nodes

Over 80% of clusters successfully performed tasks

Achieved low response times in task execution

Abstract

Current IoT services include industry-oriented services, which often require objects to run more than one task. However, the exponential growth of objects in IoT poses the challenge of distributing and managing task allocation among objects. One of the main goals of task allocation is to improve the quality of information and maximize the tasks to be performed. Although there are approaches that optimize and manage the dynamics of nodes, not all consider the quality of information and the distributed allocation over the cluster service. This paper proposes the mechanism CONTASKI for task allocation in IIoT networks to distribute tasks among objects. It relies on collaborative consensus to allocate tasks and similarity capabilities to know which objects can play in accomplishing those tasks. CONTASKI was evaluated on NS-3 and achieved 100% of allocated tasks incases with 75 and 100 nodes, and, on average, more than 80% clusters performed tasks in a low response time.