• DocumentCode
    3370981
  • Title

    Energy-efficient routing in Delay-Tolerant Networks

  • Author

    Ababou, Mohamed ; El Kouch, Rachid ; Bellafkih, Mostafa ; Ababou, Nabil

  • Author_Institution
    RAI2S Nat. Inst. of Posts & Telecommun., Rabat, Morocco
  • fYear
    2015
  • fDate
    13-15 May 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Limited resources in Delay Tolerant Network is one of the factors that must be considered when designing a routing protocol, such as energy and space buffer of the nodes, which are continuously depleted by the exchanges of the messages between nodes in order to use the resources effectively. We propose an extension of our approach BeeAntDTN named BeeAntDTN_Eg, which take into account the energy level of the nodes that will play the role of relays and their buffer space in order to determine if the relays are able or not to participate in the message transport, we define a new visibility between the network nodes based on information collected by artificial bees to estimate the energy of the relay nodes at the time of encounter with the destination of the messages. The new proposed approach has proven through several simulations: energy efficient and an improvement in the lifetime of nodes compared to the routing protocols, Epidemic, spary and wait prophet, MaxPro and BeeAntDTN.
  • Keywords
    delay tolerant networks; radio networks; routing protocols; telecommunication power management; BeeAntDTN extension; BeeAntDTN_Eg protocol; delay tolerant networks; energy efficient routing; message transport; routing protocol; Batteries; Energy efficiency; Energy states; Relays; Routing; Routing protocols; ACDTN; DTN; EPIDEMIC; ProPHET; Store and forward; forwarding strategies; networks; routing; spray and wait;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    RFID And Adaptive Wireless Sensor Networks (RAWSN), 2015 Third International Workshop on
  • Conference_Location
    Agadir
  • Print_ISBN
    978-1-4673-8095-9
  • Type

    conf

  • DOI
    10.1109/RAWSN.2015.7173269
  • Filename
    7173269