Dynamic Resource Allocation in an Adversarial Urban IoBT Environment

The advances of the Internet Battlefield Things (IoBT) would improve flexibility and efficiency military operations. Without an effective dynamic adversarial mechanism, soldier devices might malfunction, machine intelligence technologies could hardly support operations on a battlefield. In this paper, we propose game theoretical model considering nature urban IoBT environment. Our algorithm is designed to optimize whole network’s with premise that both attacking defending parties can maximize their benefit. Meanwhile, also attempt consider interactive effects channel fading by using Nakagami distribution based Markov process. experimental results show impact IoBT, our proposed network performance 30%-50%.