On the Use of Operations Research for Decision Making with Uncertainty for IoT Devices in Battlefield Situations

Numerous challenges are present when information is provided to teams of humans and agents in multi-domain operations. There are several sources of data needed and utilized in these operations, including internet of things (IoT). In these cases the challenges include the dependence and inter-dependence of IoT devices and the uncertainty of information (UoI) obtained from these devices. Uncertainty of information significantly af- fects 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, a novel method called the LRM (Lott, Raglin & Metu) Method is presented. This method is based on operations research and utilized to determine maximum uncertainty values based on data from 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.