2nd International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems

Research Article

A Simplified Receiver Assisted Routing Enhancement (RARE) in MANET

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  • @INPROCEEDINGS{10.4108/ICST.BIONETICS2007.2417,
        author={Y. Abdelmalek and O. Hussien and T. Saadawi},
        title={A Simplified Receiver Assisted Routing Enhancement (RARE) in MANET},
        proceedings={2nd International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems},
        proceedings_a={BIONETICS},
        year={2008},
        month={8},
        keywords={Ad hoc  ant colony algorithm  ant colony optimization  ant destination trails  mobile ad hoc network  routing protocol},
        doi={10.4108/ICST.BIONETICS2007.2417}
    }
    
  • Y. Abdelmalek
    O. Hussien
    T. Saadawi
    Year: 2008
    A Simplified Receiver Assisted Routing Enhancement (RARE) in MANET
    BIONETICS
    ICST
    DOI: 10.4108/ICST.BIONETICS2007.2417
Y. Abdelmalek1,*, O. Hussien2,*, T. Saadawi1,*
  • 1: Electrical Engineering Department, The Graduate Center, The City University of New York, New York, NY 10031
  • 2: Computer Engineering Technology Department, New York City College of Technology
*Contact email: yumahmoud@gmail.com, Osama_h@ieee.org, saadawi@ccny.cuny.edu

Abstract

This paper shows a novel technique for routing protocol in ad hoc network, namely simplified receiver assisted routing enhancement (RARE). Simplified mathematical model has been explained to analyze the performance of RARE algorithm. In this algorithm, we use the principle of the biologically inspired ant routing technique to evolutionally maintain the routing information. The similarities and differences of RARE and the traditional ant technique have been highlighted. The RARE concept is implemented to increase the probability to find the destination and decrease the connection set up time between the source and the destination. The performance of the proposed RARE is simulated and compared to the traditional ant [1]-[2] in radio network model (random graph model). The simulation result shows the potential of RARE to achieve higher probabilities to find the destination. More, the RARE can be used as an add-on module to many ad hoc routing protocols.