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  • Open Access

    ARTICLE

    An Intelligent Cluster Optimization Algorithm for Smart Body Area Networks

    Adil Mushtaq1, Muhammad Nadeem Majeed1, Farhan Aadil2, Muhammad Fahad Khan2, Sangsoon Lim3,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3795-3814, 2021, DOI:10.32604/cmc.2021.015369

    Abstract Body Area Networks (BODYNETs) or Wireless Body Area Networks (WBAN), being an important type of ad-hoc network, plays a vital role in multimedia, safety, and traffic management applications. In BODYNETs, rapid topology changes occur due to high node mobility, which affects the scalability of the network. Node clustering is one mechanism among many others, which is used to overcome this issue in BODYNETs. There are many clustering algorithms used in this domain to overcome this issue. However, these algorithms generate a large number of Cluster Heads (CHs), which results in scarce resource utilization and degraded performance. In this research, an… More >

  • Open Access

    ARTICLE

    The Development of Generalized Public Bicycles in China and Its Role in the Urban Transportation System

    Yang Tang1,*, Weiwei Liu1, Yihao He1, Yuelin Zhang2, Fulong Zhang2

    Journal on Internet of Things, Vol.2, No.3, pp. 101-107, 2020, DOI:10.32604/jiot.2020.010108

    Abstract Public bicycle service has experienced 15 years of development in Chinese cities, and mainland China is the world's largest public bicycle market. Choosing to use public bicycles is becoming more and more a daily habit of residents. Broadly speaking, public bicycles in Chinese cities include both public bikes with service stations and shared bicycles without service stations. Based on historical review and years of accumulated data, this paper reviews the development of general public bicycles in Chinese cities in the past 15 years. And the role of general public bicycles in China’s urban transportation system is analyzed. Finally, from the… More >

  • Open Access

    ARTICLE

    Internet of Things Based Solutions for Transport Network Vulnerability Assessment in Intelligent Transportation Systems

    Weiwei Liu1, Yang Tang2, Fei Yang2, Chennan Zhang1, Dun Cao3, Gwang-jun Kim4, *

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2511-2527, 2020, DOI:10.32604/cmc.2020.09113

    Abstract Intelligent Transportation System (ITS) is essential for effective identification of vulnerable units in the transport network and its stable operation. Also, it is necessary to establish an urban transport network vulnerability assessment model with solutions based on Internet of Things (IoT). Previous research on vulnerability has no congestion effect on the peak time of urban road network. The cascading failure of links or nodes is presented by IoT monitoring system, which can collect data from a wireless sensor network in the transport environment. The IoT monitoring system collects wireless data via Vehicle-to-Infrastructure (V2I) channels to simulate key segments and their… More >

  • Open Access

    ARTICLE

    Applying Probabilistic Model Checking to Path Planning in an Intelligent Transportation System Using Mobility Trajectories and Their Statistical Data

    Honghao Gao1, 2, 5, Wanqiu Huang1, 4, Xiaoxian Yang3

    Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 547-559, 2019, DOI:10.31209/2019.100000110

    Abstract Path planning is an important topic of research in modern intelligent traffic systems (ITSs). Traditional path planning methods aim to identify the shortest path and recommend this path to the user. However, the shortest path is not always optimal, especially in emergency rescue scenarios. Thus, complex and changeable factors, such as traffic congestion, road construction and traffic accidents, should be considered when planning paths. To address this consideration, the maximum passing probability of a road is considered the optimal condition for path recommendation. In this paper, the traffic network is abstracted as a directed graph. Probabilistic data on traffic flow… More >

  • Open Access

    ARTICLE

    Authentication of Vehicles and Road Side Units in Intelligent Transportation System

    Muhammad Waqas1, 2, Shanshan Tu1, 3, *, Sadaqat Ur Rehman1, Zahid Halim2, Sajid Anwar2, Ghulam Abbas2, Ziaul Haq Abbas4, Obaid Ur Rehman5

    CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 359-371, 2020, DOI:10.32604/cmc.2020.09821

    Abstract Security threats to smart and autonomous vehicles cause potential consequences such as traffic accidents, economically damaging traffic jams, hijacking, motivating to wrong routes, and financial losses for businesses and governments. Smart and autonomous vehicles are connected wirelessly, which are more attracted for attackers due to the open nature of wireless communication. One of the problems is the rogue attack, in which the attacker pretends to be a legitimate user or access point by utilizing fake identity. To figure out the problem of a rogue attack, we propose a reinforcement learning algorithm to identify rogue nodes by exploiting the channel state… More >

  • Open Access

    ARTICLE

    Numerical Simulation and Natural Computing applied to a Real World Traffic Optimization Case under Stress Conditions:

    M.J. Galán Moreno, J.J. Sánchez Medina, L. Álvarez Álvarez E. Rubio Royo1

    CMES-Computer Modeling in Engineering & Sciences, Vol.50, No.3, pp. 191-226, 2009, DOI:10.3970/cmes.2009.050.191

    Abstract Urban traffic is a key factor for the development of a city. There exist many different approaches facing traffic optimization. In our case we have focused on traffic lights optimization. We have designed and tested a new architecture to optimize traffic light cycle times. The purpose of this research is to demonstrate the good performance of our architecture in a congested scenario. We have simulated several congestion situations for a very large real world traffic network - "La Almozara" in Zaragoza, Spain. Our results seem encouraging in this extreme situation. As we increase the load in the network we get… More >

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