Precept-Based Framework for Using Crowdsourcing in IoT-Based Systems

Abstract

Cyber-physical systems (CPS) provide the foundation of critical infrastructure, form the basis of emerging and future smart services, and improve quality of life. The technological advances such as edge-centric computing have pushed the frontier of computing applications, data, and services away from the centralized nodes to the logical extremes of a network. It enables analytics and knowledge generation to occur at the source of the data. In this paper we present the amalgamation of three paradigms, each at different level of system development. Precept is a design paradigm for modeling complex control structures of the activities. It is a declaratively modeled control component that prohibits undesired couplings that are otherwise unavoidable in imperatively programmed control components. Crowdsourcing for system integration harnesses the collective intelligence or knowledge base of crowd's wisdom when given the right set of conditions. Here we discuss the aptness of crowdsourcing in the development of IoT-based systems that integrate the smart components from varied domains. We define a precept based software development framework that uses crowdsourcing to develop and to continuously extend a more sustainable and adaptive IoT-based system.