Workload Model Based Dynamic Adaptation of Social Internet of Vehicles

被引:22
作者
Alam, Kazi Masudul [1 ]
Saini, Mukesh [2 ]
El Saddik, Abdulmotaleb [1 ]
机构
[1] Univ Ottawa, Multimedia Comp Res Lab, Ottawa, ON K1N 6N5, Canada
[2] New York Univ, Div Engn, Abu Dhabi, U Arab Emirates
关键词
sensing-as-a-service; vehicular sensors; cyber-physical system; Social Internet of Things; Social Internet of Vehicles; vehicular ad-hoc networks; analytical modeling; DISSEMINATION; NETWORKS; SERVICE; THINGS;
D O I
10.3390/s150923262
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页码:23262 / 23285
页数:24
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