With the significant increase in the number of vehicles on the road, safety becomes an essential aspect of concern for both the drivers and the user-organizations in the transportation industry. The prior information of the road conditions, weather, maneuver detection, probability of road accidents, and fatality, the vehicle owners, the drivers, and the user-organizations can reduce the risk of accidents. It motivates for architecting a novel road safety paradigm, Safety-as-a-Service (Safe-aaS), where the end-users receive decisions related to road safety on a rental basis. The inconveniences faced by the end-user for deployment, maintenance, and reallocation of sensor nodes are ameliorated with the help of the Safe-aaS architecture.


Decision Virtualization for Safety-As-a-Service

In this paper, we present solution for the development of a novel infrastructure, safety-as-a-service (Safe-aaS) for the road transportation industry. We introduce the term -- decision virtualization, which enables multiple end-users to access the customized decisions, remotely. We present a cost analysis for the different entities involved in the system. Analytical results show the cost and the profit of the different entities. We observe the profit obtained by the mobile sensor owners is increased by 19.69%, as compared to the static sensor owners. Additionally, we present two case studies to depict a clear view of usage of Safe-aaS.

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Edge Node Selection for Safety-as-a-Service

In this work, we propose a dynamic edge node selection scheme, named as DENSE, for Safe-aaS. To optimally select the edge node, we use cooperative coalition-based game theoretic approach. Further, we apply Karush-Kuhn-Tucker (KKT) conditions to find the existence of equilibrium.

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Application of Safety-as-a-Service for Industrial IoT

In this work, we provide an architecture of blockchain integration into the Safe-aaS infrastructure. Additionally, we discuss the implementation and management of the Blockchain-enabled Safe-aaS architecture. Extensive analytical results show that the profit of the safety service provider (SSP) improves with the adoption of blockchain technology into the Safe-aaS architecture. On the other hand, the overall throughput in the proposed architecture increases with the increase in the number of decisions delivered successfully and decreases with the increase in the number of registered end-users.

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