ACOLBR: ACO Based Load Balancing Routing in MANET

被引:1
|
作者
Dholey, Milan Kumar [1 ]
Sinha, Ditipriya [1 ]
机构
[1] Natl Inst Technol Patna, Dept Comp Sci & Engn, Patna 800005, Bihar, India
关键词
ACOLBR; Load balance; ACO aand MANET; Routing; Multi-agent; ANT COLONY OPTIMIZATION; PROTOCOL; ALGORITHM;
D O I
10.1007/s11277-022-09804-w
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Real-time data transmission is one of the objectives of MANET (mobile ad-hoc network) to handle emergencies like a forest fire, flood, and earthquake. In this scenario, quick delivery of data is itself a challenging task for MANET and there is a possibility of load imbalance due to packet transmission in between source-destination pairs via the shortest path due to congestion or control overhead. In this paper, a novel routing protocol, called ACOLBR (ACO based load balancing routing), is design to control the congestion and balancing the load among the multiple paths in between source to destination. The similarity between the environment of Ant Colony and the MANET inspires the authors to apply ACO (Ant colony optimization) technique during routing in MANET to control congestion and balance the load in the network. In our proposal, two colonies of ants (red/blue) carry their packets based on the network condition. A decision variable is designed to select red/blue ant for transferring packets based on different network parameters such as bandwidth, energy, mobility, and distance. The selection of red ant means the route where the concentration of red pheromone is maximum and reverse is true for blue ant. This protocol is also concerns about the link failure during packet transmission in a route. Simulation results using OMNET++ show that ACOLBR outperforms ARA, ANTHOCNET, FACO, AODV, DSDV, DSR, CA-ARTT, and MOAODV in terms of load balancing efficiently in the route for data transmission in between source to destination.
引用
收藏
页码:2483 / 2511
页数:29
相关论文
共 50 条
  • [31] An agent-based best effort routing technique for load balancing
    Manvi, Sunilkumar S.
    Venkataram, Pallapa
    INFORMATICA, 2006, 17 (03) : 407 - 426
  • [32] An SDN-Based Algorithm for Caching, Routing, and Load Balancing in ICN
    Tavasoli, MohammadBagher
    Saidi, Hossein
    Ghiasian, Ali
    CHINA COMMUNICATIONS, 2024, 21 (05) : 64 - 76
  • [33] Energy Efficient Load Balancing and Routing Using Multi-Objective Based Algorithm in WSN
    Vijayvergia, Hemant Kumar
    Modani, Uma Shankar
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 35 (03) : 3227 - 3239
  • [34] HHO-ACO hybridized load balancing technique in cloud computing
    Sumathi M.
    Vijayaraj N.
    Raja S.P.
    Rajkamal M.
    International Journal of Information Technology, 2023, 15 (3) : 1357 - 1365
  • [35] A CLASS OF LOAD BALANCING NETWORK ROUTING PROTOCOLS
    Hansson, Anders A.
    Reidys, Christian M.
    INTERNATIONAL MEDITERRANEAN MODELLING MULTICONFERENCE 2006, 2006, : 37 - 42
  • [36] Adaptive Routing Algorithm for Network Load Balancing
    Une, Hiroyuki
    Qian, Fei
    Hirata, Hironori
    IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2011, 6 (05) : 441 - 449
  • [37] An Improved ACO Based Energy Efficient Routing Algorithm in WSNs
    Bhowmik, Tanima
    Banerjee, Indrajit
    IEEE INDICON: 15TH IEEE INDIA COUNCIL INTERNATIONAL CONFERENCE, 2018,
  • [38] Software defined wireless sensor load balancing routing for internet of things applications: Review of approaches
    Isyaku, Babangida
    Abu Bakar, Kamalrulnizam bin
    Yusuf, Nura Muhammed
    Abaker, Mohammed
    Abdelmaboud, Abdelzahir
    Nagmeldin, Wamda
    HELIYON, 2024, 10 (09)
  • [39] Defense against Sybil attacks and authentication for anonymous location-based routing in MANET
    Kumari, S. Vadhana
    Paramasivan, B.
    WIRELESS NETWORKS, 2017, 23 (03) : 715 - 726
  • [40] Energy effective routing optimisation using ACO-FDR PSO for improving MANET performance
    Jayavenkatesan, Rangaraj
    Mariappan, Anitha
    INTERNATIONAL JOURNAL OF ENVIRONMENT AND SUSTAINABLE DEVELOPMENT, 2019, 18 (01) : 1 - 12