Adaptive routing protocol for mobile ad hoc networks
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  • 作者:Delfín Rupérez Ca?as (1)
    Luis Javier García Villalba (1)
    Ana Lucila Sandoval Orozco (1)
    Tai-Hoon Kim (2)
  • 关键词:Ant colony optimization ; Artificial immune system ; Bioinspired protocol ; Mobile ad hoc networks ; Routing ; 68M12 Network protocols
  • 刊名:Computing
  • 出版年:2014
  • 出版时间:September 2014
  • 年:2014
  • 卷:96
  • 期:9
  • 页码:817-827
  • 全文大小:569 KB
  • 参考文献:1. Dorigo M (1992) Optimization, learning and natural algorithms. Doctoral Thesis, Politecnico di Milano, Italie
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    4. Rupérez Cańas D, Sandoval Orozco AL, Kim TH (2011) Comparing AntOR-disjoint node routing protocol with its parallel extension. Commun Comput Inf Sci (CCIS) 263:305-09 CrossRef
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    17. Ducatelle F (2007) Adaptive routing in ad hoc wireless multi-hop networks, PhD thesis, Università della Svizzera Italiana, Istituto Dalle Molle di Studi sull’Intelligenza Artificiale
    18. Le Boudec J, Sarajanoviè S (2004) An artificial immune system approach to misbehavior detection in mobile ad-hoc networks. In: Proceedings of Bio-ADIT 2004 (The First In-ternational Workshop on Biologically Inspired Approaches to Advanced Information Technology), Lausanne, Switzerland, pp. 96-11, January 29-0
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  • 作者单位:Delfín Rupérez Ca?as (1)
    Luis Javier García Villalba (1)
    Ana Lucila Sandoval Orozco (1)
    Tai-Hoon Kim (2)

    1. Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), School of Computer Science, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases s/n Ciudad Universitaria, 28040, Madrid, Spain
    2. Department of Convergence Security, Sungshin Women’s University, 249-1, Dongseon-dong 3-ga, Seoul, 136-742, Korea
  • ISSN:1436-5057
文摘
Artificial immune systems (AIS) are used for solving complex optimization problems and can be applied to the detection of misbehaviors, such as a fault tolerant. We present novel techniques for the routing optimization from the perspective of the artificial immunology theory. We discussed the bioinspired protocol AntOR and analyze its new enhancements. This ACO protocol based on swarm intelligence takes into account the behavior of the ants at the time of obtaining the food. In the simulation results we compare it with the reactive protocol AODV observing how our proposal improves it according to Jitter, the delivered data packet ratio, throughput and overhead in number of packets metrics.

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