Abstract
Resource Efficient Real-Time Reliability Model for Multi-Agent IoT Systems
Highlights
THE INTERNET OF THINGS (IoT) industry has recently experienced tremendous growth.IoT applications require a large amount of IoT nodes [3]
The main contributions of this paper are that it develops a generic mathematical model of the system, defines the steps to compute the input metrics, introduces and specifies maximum tolerable values, and it defines hardware parameters to monitor the state of the system
Fluctuations in the Reliability-Aware IoT [2] graph can be caused by a combination of Matlab’s optimisation internals and the pseudo-random Poisson numbers generator, which can lead to a case when two generated sets are similar
Summary
THE INTERNET OF THINGS (IoT) industry has recently experienced tremendous growth. IoT applications require a large amount of IoT nodes [3] (e.g., embedded computers, sensors, actuators, etc.). MAS introduces a concept of splitting a complex task (i.e., a defined purpose) into a group of smaller subtasks, where each is represented by an entity or an agent, which serves for a one specific task. One of the possible solutions to monitor the MAS state and its agents is to continuously estimate the system reliability. The other possible solution is (for instance) the so-called trust of the agents [13]–[16] It does not consider SLA or the trust models are specific to the purpose of the system [17], [18]. To the best of the authors knowledge, no paper has yet provided a resource-efficient mathematical model that could be used in real-time reliability estimation. The results show that the proposed model has linear time complexity and can be used in real-time reliability estimation of MAIS for monitoring purposes.
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