Early congestion detection and adaptive routing in MANET

被引:31
|
作者
Kumaran, T. Senthil [1 ]
Sankaranarayanan, V. [1 ]
机构
[1] BSA Crescent Engn Coll, Chennai, Tamil Nadu, India
关键词
Congestion; EDAPR; NHN; EDCSCAODV; EDAODV;
D O I
10.1016/j.eij.2011.09.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Ad hoc mobile networks are composed of mobile nodes communicating through wireless medium, without any fixed backbone infrastructure. In these networks, congestion occurs in any intermediate node when data packets travel from source to destination and they incur high packet loss and long delay, which cause the performance degradations of a network. This paper proposes an early congestion detection and adaptive routing in MANET called as EDAPR. Initially EDAPR constructs a NHN (non-congested neighbors) neighbors list and finds a route to a destination through an NHN node. All the primary path nodes periodically calculate its queue_ status at node level. While using early congestion detection technique, node detects congestion that is likely to happen and sends warning message to NHN nodes. The ancestor NHN node is aware of this situation and finds an alternate path to a destination immediately by applying adaptive path mechanism. Thus, EDAPR improves performance in terms of reducing delay, routing overhead and increases packet delivery ratio without incurring any significant additional cost. The performance of EDAPR was compared with EDAODV and EDCSCAODV using the Ns-2 simulator. The result reveals significant improvement over EDAODV and EDCSCAODV routing schemes. (C) 2011 Faculty of Computers and Information, Cairo University. Production and hosting by Elsevier B. V. All rights reserved.
引用
收藏
页码:165 / 175
页数:11
相关论文
共 50 条
  • [1] Early Congestion Detection and Self Cure Routing in Manet
    Kumaran, T. Senthil
    Sankaranarayanan, V.
    [J]. COMPUTER NETWORKS AND INFORMATION TECHNOLOGIES, 2011, 142 : 562 - 567
  • [2] Adaptive reliable and congestion control routing protocol for MANET
    R. Vadivel
    V. Murali Bhaskaran
    [J]. Wireless Networks, 2017, 23 : 819 - 829
  • [3] Adaptive reliable and congestion control routing protocol for MANET
    Vadivel, R.
    Bhaskaran, V. Murali
    [J]. WIRELESS NETWORKS, 2017, 23 (03) : 819 - 829
  • [4] A bio-inspired adaptive MANET routing to circumvent congestion nodes
    Huang, Qiong
    Yin, Peng-Fei
    Yang, Xiao-Long
    Xu, Jie
    Long, Ke-Ping
    [J]. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2012, 40 (04): : 710 - 716
  • [5] A Review on Congestion Adaptivity and Congestion Aware Routing Protocols in MANET
    Jain, S. A.
    Kokate, S. R.
    [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2011, 11 (12): : 74 - 80
  • [6] A adaptive based routing for MANET
    Li, Zhongqiu
    Wang, Hongpeng
    [J]. PROCEEDINGS OF THE 11TH JOINT CONFERENCE ON INFORMATION SCIENCES, 2008,
  • [7] Adaptive MANET routing: A case study
    Qin, Liang
    Kunz, Thomas
    [J]. AD-HOC, MOBILE AND WIRELESS NETWORKS, PROCEEDINGS, 2008, 5198 : 43 - 57
  • [8] Cross-layer based congestion detection and routing protocol using fuzzy logic for MANET
    M. Anuradha
    G. S. Anandha Mala
    [J]. Wireless Networks, 2017, 23 : 1373 - 1385
  • [9] Cross-layer based congestion detection and routing protocol using fuzzy logic for MANET
    Anuradha, M.
    Mala, G. S. Anandha
    [J]. WIRELESS NETWORKS, 2017, 23 (05) : 1373 - 1385
  • [10] Dynamic multi-stage tandem queue modeling-based congestion adaptive routing for MANET
    Amuthan, A.
    Sreenath, N.
    Boobalan, P.
    Muthuraj, K.
    [J]. ALEXANDRIA ENGINEERING JOURNAL, 2018, 57 (03) : 1467 - 1473