Smart routing for vehicle at optimal position with Ant colony optimization and AQRV in VANET

被引：0
|
作者：
Prakash J. [1 ]
Sengottaiyan N. [2 ]
Hamsa Nandhini S. [3 ]
机构：
[1] Department of Computer Science and Engineering, Hindusthan College of Engineering and Technology, Coinbatore Tamilnadu
[2] Academics Sri Shanmugha College of Engineering and Technology, Sankari Tamilnadu
[3] Academics Kongu Engineering, Erode, Perundurai, Tamil Nadu
来源：
Prakash, J. (jeevaprakash86@gmail.com) | 2018年 / European Alliance for Innovation卷 / 18期
关键词：
Best route; Local QoS Models (LQM) of A Road Segment; RSR; Smart route;
D O I：
10.4108/eai.12-9-2018.155566
中图分类号：
学科分类号：
摘要：
The Coimbatore is one of the leading tier two cities in India. Vehicles in this city are increasing day by day. The VANET is a self-organizing network between vehicles. There are so many interesting issues in VANET. So many routing protocols are already availing in the market. In this paper, we put forward an adaptive quality of service (QoS) based smart routing for VANETs with ant colony optimization algorithm find a smart route in Coimbatore city. This smart routing protocol is to adaptively choose the connections in the various available nodes, through which data packets clearance to reach the destination. The selected smart route should fulfill with the QoS constraints and satisfy the best QoS in terms of three metrics, namely connectivity, probability, packet delivery ratio and delay. The AQRV and Ant colony algorithm was simulated. The comparative result was studied at various optimal positions in the city. © 2018 J. Prakash et al.
引用
收藏
相关论文
共 50 条
  • [41] The logistics vehicle routing optimization method and implementation based on ant colony algorithm
    Chen, Changmin
    Xie, Weicheng
    Fan, Songsong
    Li, Lingling
    Zhang, Xue
    Huang, Chao
    Journal of Computational Information Systems, 2012, 8 (20): : 8439 - 8446
  • [42] An Ant Colony Optimization Method for the Capacitated Vehicle Routing Problem with Stochastic Demands
    Janjarassuk, Udom
    Masuchun, Ruedee
    2016 20TH INTERNATIONAL COMPUTER SCIENCE AND ENGINEERING CONFERENCE (ICSEC), 2016,
  • [43] An adaptive hybrid ant colony optimization algorithm for solving Capacitated Vehicle Routing
    Peng, YuZhong
    Pan, Yonghua
    Qin, ZhengYou
    Li, DeYong
    PROCEEDINGS OF THE 2015 INTERNATIONAL INDUSTRIAL INFORMATICS AND COMPUTER ENGINEERING CONFERENCE, 2015, : 577 - 580
  • [44] An enhanced ant colony optimization (EACO) applied to capacitated vehicle routing problem
    Lee, Chou-Yuan
    Lee, Zne-Jung
    Lin, Shih-Wei
    Ying, Kuo-Ching
    APPLIED INTELLIGENCE, 2010, 32 (01) : 88 - 95
  • [45] Ant Colony Optimization Algorithm to Solve Split Delivery Vehicle Routing Problem
    Sui Lu-si
    Tang Jia-fu
    Pan Zhendong
    Liu Shu-an
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 997 - 1001
  • [46] The Application of a Improved Hybrid Ant Colony Algorithm in Vehicle Routing Optimization Problem
    Li, Yueli
    Ren, Ai-hua
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 4693 - 4696
  • [47] The Application of a Improved Hybrid Ant Colony Algorithm in Vehicle Routing Optimization Problem
    Li, Yueli
    Ren, Ai-hua
    MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 4005 - +
  • [48] An enhanced ant colony optimization (EACO) applied to capacitated vehicle routing problem
    Chou-Yuan Lee
    Zne-Jung Lee
    Shih-Wei Lin
    Kuo-Ching Ying
    Applied Intelligence, 2010, 32 : 88 - 95
  • [49] Improved ant colony optimization algorithm for vehicle routing problems with time window
    Lei, Jinxian
    Sun, Yu
    Zhu, Hongjie
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 28 (11): : 3535 - 3544
  • [50] An Enhanced Ant Colony Optimization Algorithm for Vehicle Routing Problem with Time Windows
    Gupta, Ashima
    Saini, Sanjay
    2017 NINTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC), 2017, : 267 - 274
12345