Health-monitoring driver assistance systems support an independent and self-determined lifestyle enhancing the driver's safety. These systems are health-critical and need to guarantee correct behavior in emergency situations such as heart attacks. Furthermore, they have to be adjustable and extendable with respect to integrated functionalities to fit individual and changing needs. We present a concept for a mobile, serviceoriented driver assistance system with dynamic network behavior. Additionally, we introduce a verification approach to ensure correct behavior.
Service-oriented sensor-actuator networks (SOSANETs) are deployed in health-critical applications like patient monitoring and have to fulfill strong safety requirements. However, a framework for the rigorous formal modeling and analysis of SOSANETs does not exist. In particular, there is currently no support for the verification of correct network behavior after node failure or loss/addition of communication links. To overcome this problem, we propose a formal framework for SOSANETs. The main idea is to base our framework on the π-calculus, a formally defined, compositional and well-established formalism. We choose KLAIM, an existing formal language based on the π-calculus as the foundation for our framework. With that, we are able to formally model SOSANETs with possible topology changes and network failures. This provides the basis for our future work on prediction, analysis and verification of the network behavior of these systems. Furthermore, we illustrate the real-life applicability of this approach by modeling and extending a use case scenario from the medical domain
Health-monitoring driver assistance systems support an independent and self-determined lifestyle enhancing the driver's safety. These systems are health-critical and need to guarantee correct behavior in emergency situations such as heart attacks. Furthermore, they have to be adjustable and extendable with respect to integrated functionalities to fit individual and changing needs. We present a concept for a mobile, serviceoriented driver assistance system with dynamic network behavior. Additionally, we introduce a verification approach to ensure correct behavior.
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