1st International ICST Conference on Integrated Internet Ad hoc and Sensor Networks

Research Article

Particle-based methodology for representing mobile ad-hoc networks

  • @INPROCEEDINGS{10.1145/1142680.1142685,
        author={Carlos J. Martinez and Marisa  L\^{o}pez and Luis C.  Estebanez},
        title={Particle-based methodology for representing mobile ad-hoc networks},
        proceedings={1st International ICST Conference on Integrated Internet Ad hoc and Sensor Networks},
        publisher={ACM},
        proceedings_a={INTERSENSE},
        year={2006},
        month={5},
        keywords={methodology model physics heterogeneous ad-hoc networks particles tools ubiquitous},
        doi={10.1145/1142680.1142685}
    }
    
  • Carlos J. Martinez
    Marisa López
    Luis C. Estebanez
    Year: 2006
    Particle-based methodology for representing mobile ad-hoc networks
    INTERSENSE
    ACM
    DOI: 10.1145/1142680.1142685
Carlos J. Martinez1,2,3, Marisa López2,3,*, Luis C. Estebanez4
  • 1: Hispatel Ing. SRL. c/ La Glorieta, 52, Churra , 30110 Murcia, SPAIN.
  • 2: Dpto. Ingeniería Electrónica, ETSI Telecomunicación , Universidad Politécnica
  • 3: Ciudad Universitaria s/n - 28040 Madrid, SPAIN
  • 4: Hispatel Ing. SRL. c/ La Glorieta, 52, Churra , 30110 Murcia, SPAIN
*Contact email: jcmartinez@die.upm.es

Abstract

We present a methodology based on physics laws and particles in order to represent, simulate, and architect advanced networking models. We introduce a mathematical formalism with its basic postulates seeing the messages signals and nodes as interacting/colliding particles and space-temporal zones, respectively. In particular we focus on using this "Particle" view for Ad-Hoc networks, where we can represent network nodes as the moving particles in physics. This idea can be used in several types of networks like sensor or mobile, and even to computational systems, this first presentation aims to continue with further work on robustness, tools, and examples on how this view can be used in specification of complex networks in conjunction with existing methodologies and tools.