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Sensors 2015, 15(9), 23262-23285; doi:10.3390/s150923262

Workload Model Based Dynamic Adaptation of Social Internet of Vehicles

1
Multimedia Computing Research Laboratory, University of Ottawa, Ottawa, ON K1N 6N5, Canada
2
Division of Engineering, New York University in Abu Dhabi, United Arab Emirates
*
Author to whom correspondence should be addressed.
Academic Editor: Albert M. K. Cheng
Received: 25 February 2015 / Revised: 31 August 2015 / Accepted: 4 September 2015 / Published: 15 September 2015
(This article belongs to the Special Issue Cyber-Physical Systems)
View Full-Text   |   Download PDF [2283 KB, uploaded 15 September 2015]   |  

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. View Full-Text
Keywords: sensing-as-a-service; vehicular sensors; cyber-physical system; Social Internet of Things; Social Internet of Vehicles; vehicular ad-hoc networks; analytical modeling sensing-as-a-service; vehicular sensors; cyber-physical system; Social Internet of Things; Social Internet of Vehicles; vehicular ad-hoc networks; analytical modeling
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Alam, K.M.; Saini, M.; Saddik, A.E. Workload Model Based Dynamic Adaptation of Social Internet of Vehicles. Sensors 2015, 15, 23262-23285.

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