fP2P-HN: A P2P-based Route Optimization Architecture for Mobile IP-based Community Networks Articles uri icon

publication date

  • March 2009

start page

  • 528

end page

  • 540

issue

  • 4

volume

  • 53

International Standard Serial Number (ISSN)

  • 1389-1286

Electronic International Standard Serial Number (EISSN)

  • 1872-7069

abstract

  • Wireless technologies are rapidly evolving and the users are demanding the possibility of changing their point of attachment to the Internet (i.e. Access Routers) without breaking the IP communications. This can be achieved by using
    Mobile IP or NEMO. However, mobile clients must forward their data packets
    through its Home Agent (HA) to communicate with its peers. This sub-optimal
    route (lack of route optimization) considerably reduces the communications
    performance, increases the delay and the infrastructure load. In this paper, we
    present fP2P-HN, a Peer-to-Peer-based architecture that allows deploying several
    HAs throughout the Internet. With this architecture, a Mobile Node (MN) or a
    Mobile Community Network (i.e. a NEMO) can select a closer HA to its topological
    position in order to reduce the delay of the paths towards its peers. fP2P-HN
    uses a Peer-to-Peer network to signal the location of the different HAs.
    Additionally, it uses flexible HAs that significantly reduce the amount of
    packets processed by the HA itself. The main advantages of the fP2P-HN over the
    existing ones are that it is scalable, it reduces the communications delay and
    the load at the HAs. Since one of the main concerns in mobility is security, our
    solution provides authentication between the HAs and the MNs. We evaluate the
    performance of the fP2P-HN by simulation. Our results show that the fP2P-HN is
    scalable since the amount of signalling messages per HA does not increase, even
    if the number of deployed HAs increases. We also show that the average reduction
    of the communication's delay compared to Mobile IP/NEMO is 23% (with a minimum
    deployment) and the reduction of the load at the HA is at least 54%.