3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Cognitive routing models in UWB networks

  • @INPROCEEDINGS{10.1109/CROWNCOM.2008.4562511,
        author={Maria-Gabriella Di Benedetto and Luca De Nardis},
        title={Cognitive routing models in UWB networks},
        proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2008},
        month={7},
        keywords={Cognitive Routing Cognitive UWB},
        doi={10.1109/CROWNCOM.2008.4562511}
    }
    
  • Maria-Gabriella Di Benedetto
    Luca De Nardis
    Year: 2008
    Cognitive routing models in UWB networks
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2008.4562511
Maria-Gabriella Di Benedetto1,*, Luca De Nardis1,*
  • 1: INFOCOM Department School of Engineering, University of Rome La Sapienza Rome, Italy
*Contact email: dibenedetto@newyork.ing.uniroma1.it, lucadn@newyork.ing.uniroma1.it

Abstract

This paper investigates the effect of introducing cognitive mechanisms in the routing module of a wireless network. A routing cost function that incorporates measurements of both internal network status and instantaneous behavior of external world is described. The proposed cost function is analyzed by simulation in the framework of IEEE 802.15.4a-like low data rate and low cost networks for mixed indoor/outdoor communications. The analysis focuses on the impact of MUI modeling on network performance. Results indicate that MUI-awareness, as provided by the proposed cognitive cost function, may improve network performance in terms of network lifetime. Based on this analysis, a mechanism for learning from previous routing decisions and adapting the routing cost function to MUI conditions is introduced.