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Game theory based framework of smart food quality assessment
Author(s) -
Bhatia Munish
Publication year - 2020
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.3926
Subject(s) - computer science , cloud computing , quality (philosophy) , reliability (semiconductor) , provisioning , scale (ratio) , food quality , data science , telecommunications , philosophy , power (physics) , physics , chemistry , food science , epistemology , quantum mechanics , operating system
Internet of Things (IoT) technology backed by fog‐cloud computing has conceptualized the notion of Industry 4.0. Motivated from this, smart restaurants presents a novel vision of provisioning effective food quality assessment based on game‐theoretic decision‐modeling techniques. This research presents an IoT‐inspired framework to analyze restaurants and food‐hubs for food quality perspective. Specifically, IoT technology is used to acquire ubiquitous data inside restaurant environment that can impact food quality directly and indirectly. This data is analyzed over the fog‐cloud computing platform to formulate a quantification measure in terms of probability of food quality using Bayesian modeling technique. In addition to this, food quality assurance index is estimated to present a unifying factor for food quality assessment over temporal scale. Finally, a three‐player game‐model is presented for food quality‐based decision making by the customers, restaurant managers, and monitoring officials. For validation purposes, the proposed model is deployed in four restaurants of Amritsar, India. The comparative analysis was performed with state‐of‐the‐art decision‐making modeling techniques, which showed the superiority of the presented technique in terms of temporal efficiency, statistical performance enhancement, correlation analysis, stability, and reliability. Moreover, a mathematical evaluation has been performed to depict the overall performance enhancement for the proposed decision‐making.