Abstract
Social Internet of Things (SIoT) has gained much interest among different research groups in recent times. As a key member of a smart city, the vehicular domain of SIoT (SIoV) is also undergoing steep development. In the SIoV, vehicles work as sensor-hub to capture surrounding information using the in-vehicle and Smartphone sensors and later publish them for the consumers. A cloud centric cyber-physical system better describes the SIoV model where physical sensing-actuation process affects the cloud based service sharing or computation in a feedback loop or vice versa. The cyber based social relationship abstraction enables distributed, easily navigable and scalable peer-to-peer communication among the SIoV subsystems. These cyber-physical interactions involve a huge amount of data and it is difficult to form a real instance of the system to test the feasibility of SIoV applications. In this paper, we propose an analytical model to measure the workloads of various subsystems involved in the SIoV process. We present the basic model which is further extended to incorporate complex scenarios. We provide extensive simulation results for different parameter settings of the SIoV system. The findings of the analyses are further used to design example adaptation strategies for the SIoV subsystems which would foster deployment of intelligent transport systems.
Highlights
Sensing-as-a-service (SenAS) [1] is a new model to describe the Ubiquitous Computing (Ubicomp) or the Internet of Things (IoT) where four conceptual layers are involved from the data provider to the consumption process
Social Internet of Vehicles is a cloud based cyber-physical approach to tackle the internet of vehicles related issues in a more scalable and distributed manner
The cyber layer of the Social Internet of Vehicles (SIoV) eases the integration of different IoT domains
Summary
Sensing-as-a-service (SenAS) [1] is a new model to describe the Ubiquitous Computing (Ubicomp) or the Internet of Things (IoT) where four conceptual layers are involved from the data provider to the consumption process. The new paradigm of SIoT is receiving increased interest from the research community as it perfectly coincides with the social networks, IoT, service oriented architecture and the cloud computing. In the SIoT, the services of the things are navigated using the social network of things or humans but it requires domain specific knowledge, e.g., vehicle specific design decisions are required to build SIoV. SIoV offers a new approach to tackle the intelligent transport system (ITS) related issues when number of vehicles are increasing dramatically and most of the technologies are embracing more of cloud computing and service oriented architecture.
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