On the use of operations research for decision making with uncertainty for IoT devices in battlefield situations: Simulations and outcomes

Abstract

As the dependence on IoT devices which support teams of humans and agents increases, it becomes increasingly difficult to provide information to teams in a multi-domain battle. Numerous challenges are present and there are several sources of data needed and utilized in these operations, including internet of things (IoT). Some of the critical challenges include the dependence and inter-dependence of IoT devices and the uncertainty of information (UoI) obtained from these devices. Uncertainty of information significantly affects the decision-making process and humans rely on underlying reasons for uncertainty in making decisions that rely on devices and data from these devices. In this paper, the novel method called the LRM (Lott, Raglin, and Metu) Method is utilized in the construction of various scenarios for decision making involving IoT devices. The LRM method incorporates several sources of uncertainty and their relationship to taxonomies deemed important to humans in support of military relevant conditions. Each scenario provides supporting information that the uncertainty of information significantly affects the decision making process when tasks are performed.