A Study of Lightweight DDDAS Architecture for Real-Time Public Safety Applications Through Hybrid Simulation

Abstract

Utilizing the Dynamic Data Driven Applications Systems (DDDAS) framework for Smart Cities, a Smart Public Safety (SPS) system has become feasible by integrating heterogeneous computing devices to collaboratively provide public safety services. However, a service oriented architecture (SOA) is difficult to provide scalable and extensible services in a city-wide distributed Internet of Things (IoT)-based SPS system. Furthermore, traditional management and security solutions rely on a centralized authority, which can be the performance bottleneck or single point of failure. Inspired by the microservices architecture and blockchain technology, a Lightweight IoT based Smart Public Safety (LISPS) framework is proposed on top of a permissioned blockchain network. Through decoupling a monolithic complex system into independent sub-tasks, the LISPS system possesses high flexibility in the design process and online maintenance. The experimental results demonstrate the feasibility of the approach to provide a secured data sharing and access control mechanism.