Controller Area Network for Battlefield-of-Things

The study in this paper accentuates the significant role of proliferation in communication, computation, sensor and analytics technologies; in perspective of a Decision-Maker (DM). The proposed model enables shrinking of a DMs’ decision-cycle; it enumerates the paradigm shift in battlefield environments wherein objective is victory. The contribution of this paper is threefold. First, the paper enumerates the significant parameters of an Armoured Fighting Vehicle (AFV) accoutered with a Controller-Area-Network (CAN) along with the hierarchy of command, control, and communication; its interpretation in distributed networks within the scope of the concepts of Battlefield-of-Things (BoT). Second, the study states the critical need to understand the nature of data along with its deployment, flow, interpretation & analysis to enrich the DM, fighting and logistics arms. Third, a dataset creation and interaction model for intelligence generation are proposed; along with a simulation scenario the implication of deployment of CAN and analysis for effective decision making is elaborated. The study concludes with the fact that the utility of CAN and data analysis has the potential to extend the culmination point of defence forces in the modern battlefield.