Resource Engagement and Response Pattern Inference Model to Improve Service Handling Delegation System in IoT Environment

Abstract

In a multi-device multi-resource IoT environment,many interrupts occur which can be serviced by different resources in the same environment. Broadcasting such interrupt service requests to all of the available resources may result in unnecessary clutter in the service handling queues. This will result in increased service handling delays for the IoT system and affect existing service handling of the resources. Thus, there is a need for monitoring spatio-temporal states of the available resources such that service request broadcast is avoided and focused requests are directed to only most suitable set of resources. We propose a novel service handling system that is power efficient and privacy aware. This system is expected to improve service handling and delegation by tracking various spatio-temporal attributes of the resources.