• DocumentCode
    3114110
  • Title

    A Swarm-based Routing Protocol for Wireless Sensor Networks

  • Author

    Paone, Maurizio ; Paladina, Luca ; Bruneo, Dario ; Puliafito, Antonio

  • Author_Institution
    Univ. di Messina, Messina
  • fYear
    2007
  • fDate
    12-14 July 2007
  • Firstpage
    265
  • Lastpage
    268
  • Abstract
    Wireless sensor networks are a new emerging area where swarm intelligence can be applied with interesting implications. In fact, a strong analogy between unicellular organism colonies and wireless sensor networks can be emphasized: a sensor network can be viewed as a "colony" of simple, scarce resource nodes that, autonomously, are able only to perform simple tasks, but all together can accomplish very complex problems. In this paper we propose a routing protocol with interesting properties: self organization, fault tolerance and environmental adaptation. The proposed protocol was inspired by the well known behavior (in artificial life studies) of "Slime Mold". Such colony of unicellular organisms organizes itself in clusters by pheromone generation and evaporation mechanisms. In a similar manner our protocol manages the data traffic in clusters towards the sink nodes using the gradient concept and reaching high levels of autonomy. We analyze the proposed protocol to examine the performances and the adaptation properties using simulation techniques.
  • Keywords
    fault tolerance; gradient methods; routing protocols; telecommunication network reliability; telecommunication traffic; wireless sensor networks; fault tolerance; gradient concept; swarm intelligence; swarm-based routing protocol; wireless sensor networks; Analytical models; Electronic mail; Fault tolerance; Intelligent sensors; Organisms; Particle swarm optimization; Performance analysis; Routing protocols; Traffic control; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Computing and Applications, 2007. NCA 2007. Sixth IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-7695-2922-4
  • Type

    conf

  • DOI
    10.1109/NCA.2007.2
  • Filename
    4276632