Research on the Prediction-Based Clustering Method in the Community of Medical Vehicles for Connected Health

Combined with the Internet of Vehicles, some intelligent systems for connected health can make medical vehicles transport medical supplies more safely and timely in response to catastrophic natural disasters or serious accidents. However, in an urban scenario, the crisscrossing of roads and the uneven distribution of vehicles exist, which lead to problems such as the high mobility of vehicles and the attachment of data. These have become important contributors to the low stability of the vehicle community and the high distortion of the data among medical vehicles. Focusing on the above problems, this paper proposes a prediction-based multirole classification community clustering method (PMRC) for the vehicular ad hoc network (VANET). The experimental results show that the method can effectively improve the stability of the community in VANET and reduce the probability of data distortion.

[1]  Chen Avin,et al.  Fast randomized algorithm for hierarchical clustering in Vehicular Ad-Hoc Networks , 2011, 2011 The 10th IFIP Annual Mediterranean Ad Hoc Networking Workshop.

[2]  Martin Mauve,et al.  Geographic routing in city scenarios , 2005, MOCO.

[3]  Agop Koulakezian,et al.  ASPIRE: Adaptive Service Provider Infrastructure for VANETs , 2011 .

[4]  Wenzhong Li,et al.  On scheduling data access with cooperative load balancing in vehicular ad hoc networks (VANETs) , 2013, The Journal of Supercomputing.

[5]  Reinhard German,et al.  Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis , 2011, IEEE Transactions on Mobile Computing.

[6]  Kishwer Abdul Khaliq,et al.  Design of Emergency Response System for Disaster Management Using VANET , 2018, LDIC.

[7]  Azzedine Boukerche,et al.  A novel multi-hop clustering scheme for vehicular ad-hoc networks , 2011, MobiWac '11.

[8]  Sami Tabbane,et al.  A Fuzzy Multi-Metric QoS-Balancing Gateway Selection Algorithm in a Clustered VANET to LTE Advanced Hybrid Cellular Network , 2015, IEEE Transactions on Vehicular Technology.

[9]  V. Venkatesakumar,et al.  VANET based integrated framework for smart accident management system , 2015, 2015 International Conference on Soft-Computing and Networks Security (ICSNS).

[10]  Véronique Berge-Cherfaoui,et al.  Vehicle trajectory prediction based on motion model and maneuver recognition , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[11]  Rudolf Hornig,et al.  An overview of the OMNeT++ simulation environment , 2008, Simutools 2008.

[12]  Houda Labiod,et al.  Modified C-DRIVE: Clustering based on direction in vehicular environment , 2011, 2011 IEEE Intelligent Vehicles Symposium (IV).

[13]  Choong Seon Hong,et al.  An Adaptable Mobility-Aware Clustering Algorithm in vehicular networks , 2011, 2011 13th Asia-Pacific Network Operations and Management Symposium.

[14]  Brad Karp,et al.  GPSR : Greedy Perimeter Stateless Routing for Wireless , 2000, MobiCom 2000.

[15]  Marco Fiore,et al.  Large-scale urban vehicular mobility for networking research , 2011, 2011 IEEE Vehicular Networking Conference (VNC).

[16]  Daniel Krajzewicz,et al.  Recent Development and Applications of SUMO - Simulation of Urban MObility , 2012 .

[17]  Prithwish Basu,et al.  A mobility based metric for clustering in mobile ad hoc networks , 2001, Proceedings 21st International Conference on Distributed Computing Systems Workshops.

[18]  Pawel Gburzynski,et al.  A New Aggregate Local Mobility (ALM) Clustering Algorithm for VANETs , 2010, 2010 IEEE International Conference on Communications.

[19]  Sami Tabbane,et al.  FQGwS: A gateway selection algorithm in a hybrid clustered VANET LTE-advanced network: Complexity and performances , 2014, 2014 International Conference on Computing, Networking and Communications (ICNC).

[20]  Grzegorz Wolny,et al.  Modified DMAC Clustering Algorithm for VANETs , 2008, 2008 Third International Conference on Systems and Networks Communications.

[21]  S. Poongodi,et al.  Global clustering based geo cache for Vehicular Ad hoc Networks , 2012, International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012).

[22]  Jiujun Cheng,et al.  Connectivity Modeling and Analysis for Internet of Vehicles in Urban Road Scene , 2018, IEEE Access.

[23]  MengChu Zhou,et al.  Routing in Internet of Vehicles: A Review , 2015, IEEE Transactions on Intelligent Transportation Systems.

[24]  Ahmad Khademzadeh,et al.  VWCA: An efficient clustering algorithm in vehicular ad hoc networks , 2011, J. Netw. Comput. Appl..

[25]  M C Aswathy.  A Cluster Based Enhancement to AODV for Inter-Vehicular Communication in VANET , 2012, Grid 2012.