MULTI-OBJECTIVE CLUSTERING METHODOLOGIESAND ITS APPLICATIONS IN VANET

被引:3
|
作者
Amudhavel, J. [1 ]
Kumar, Prem K. [1 ]
Narmatha, T. [1 ]
Sampathkumar, S. [2 ]
Jaiganesh, S. [3 ]
Vengattaraman, T. [4 ]
机构
[1] SMVEC, Dept CSE, Pondicherry, India
[2] MIT, Dept ECE, Pondicherry, India
[3] Bharathiar Univ, Dept CS, R&D Ctr, Coimbatore, Tamil Nadu, India
[4] Pondicherry Univ, Dept CSE, Pondicherry, India
来源
ICARCSET'15: PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ADVANCED RESEARCH IN COMPUTER SCIENCE ENGINEERING & TECHNOLOGY (ICARCSET - 2015) | 2015年
关键词
Clustering; VANET; Routing; QOS; Passive clustering.ent; application; ROUTING PROTOCOL;
D O I
10.1145/2743065.2743124
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Vehicular ad-hoc network is the novel and powerful network which provides wireless communication between the vehicles within the network. VANET are networks with high dynamic topology and their communication is vulnerable to attacks where the attackers can send spurious information to deceive the other vehicles.Nodes in VANET should be confident with the information that is shared between them. This communication between the networks can be made more efficient by the formation of clusters in the networks.The cluster formation helps in free flow the data between the nodes. In this paper, we have discussed about the different techniques used for cluster formation. Clustering serves as a solution to scalability helps in load balancing and resource consumption in huge networks. Randomized algorithms used in clustering helps simultaneous data transmission and synchronization between the clusters. Clustering using content-centric approach helps in collective sensing, processing and distribution of information in the network traffic by adapting the volume effect. Clustering techniques also help in maintaining the integrity, nonrepudiation and confidentiality of data between the nodes in the network.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] A Reputation based Weighted Clustering Protocol in VANET: A Multi-objective Firefly Approach
    Christy Jackson Joshua
    Rekha Duraisamy
    Vijayakumar Varadarajan
    Mobile Networks and Applications, 2019, 24 : 1199 - 1209
  • [2] A Reputation based Weighted Clustering Protocol in VANET: A Multi-objective Firefly Approach
    Joshua, Christy Jackson
    Duraisamy, Rekha
    Varadarajan, Vijayakumar
    MOBILE NETWORKS & APPLICATIONS, 2019, 24 (04): : 1199 - 1209
  • [3] A Multi-Objective Genetic Algorithm-Based Adaptive Weighted Clustering Protocol in VANET
    Hadded, Mohamed
    Zagrouba, Rachid
    Laouiti, Anis
    Muhlethaler, Paul
    Saidane, Leila Azouz
    2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2015, : 994 - 1002
  • [4] A review of multi-objective optimization: Methods and its applications
    Gunantara, Nyoman
    COGENT ENGINEERING, 2018, 5 (01): : 1 - 16
  • [5] Multi-objective rectangular packing problem and its applications
    Watanabe, S
    Hiroyasu, T
    Miki, M
    EVOLUTIONARY MULTI-CRITERION OPTIMIZATION, PROCEEDINGS, 2003, 2632 : 565 - 577
  • [6] Differential evolution for multi-objective clustering
    Wang, Hui
    Zeng, Sanyou
    Chen, Liang
    Shi, Hui
    Zhang, Cheng
    PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, PROCEEDINGS, 2007, : 124 - 127
  • [7] Multi-objective frequent termset clustering
    Katharina Morik
    Andreas Kaspari
    Michael Wurst
    Marcin Skirzynski
    Knowledge and Information Systems, 2012, 30 : 715 - 738
  • [8] Multi-objective frequent termset clustering
    Morik, Katharina
    Kaspari, Andreas
    Wurst, Michael
    Skirzynski, Marcin
    KNOWLEDGE AND INFORMATION SYSTEMS, 2012, 30 (03) : 715 - 738
  • [9] Multi-objective genetic algorithm and its applications to flowshop scheduling
    Murata, T
    Ishibuchi, H
    Tanaka, H
    COMPUTERS & INDUSTRIAL ENGINEERING, 1996, 30 (04) : 957 - 968