Enhanced Network Mobility Management for Vehicular Networks

Network mobility basic support (NEMO-BS) is able to maintain Internet connectivity among a set of mobile network nodes and, hence, has been considered as an intelligent transportation systems standard. However, NEMO-BS often results in unacceptably long handover latency and increased data loss to the vehicle. To address these issues, several schemes have employed a fast handover scheme by using Fast Proxy Mobile IPv6 (FPMIPv6) in NEMO-BS. Because these previous schemes are designed for a single vehicle, they have to establish the tunnel between the mobile access gateways (MAGs) for every single vehicle that moves to a new Internet protocol domain. Thus, these schemes may incur significant signaling overhead in vehicular networks (VNs), where vehicles have high mobility, and the number of vehicles is large. In this paper, we propose a group-based network mobility management scheme that also adopts the approach of FPMIPv6 to mitigate such signaling burden. Our proposed scheme establishes multiple tunnels at once for a group of moving vehicles by sending a single tunnel-establishment message to the next MAG. We also propose to pre-establish the tunnel by considering the geographic characteristics of VNs with the intent to reduce the handover latency. Using analytical models, we evaluate the performance of the proposed network mobility management scheme as compared with other previous schemes in terms of signaling cost, handover latency, and packet delivery cost. Our analytical study is verified by simulation results.

[1]  Sofiane Imadali,et al.  Analyzing dynamic IPv6 address auto-configuration techniques for group IP-based vehicular communications , 2014, 39th Annual IEEE Conference on Local Computer Networks Workshops.

[2]  Suresh Krishnan,et al.  Bulk Binding Update Support for Proxy Mobile IPv6 , 2012, RFC.

[3]  Ryuji Wakikawa,et al.  Network Mobility (NEMO) Basic Support Protocol , 2005, RFC.

[4]  Frank Xia,et al.  Fast Handovers for Proxy Mobile IPv6 , 2010, RFC.

[5]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[6]  Ji-Woong Choi,et al.  Performance evaluation of improved fast PMIPv6-based network mobility for intelligent transportation systems , 2013, Journal of Communications and Networks.

[7]  Yanghee Choi,et al.  An Adaptive Network Mobility Support Protocol in Hierarchical Mobile IPv6 Networks , 2009, IEEE Transactions on Vehicular Technology.

[8]  I. Miller Probability, Random Variables, and Stochastic Processes , 1966 .

[9]  Meng-Shu Chiang,et al.  Fast handover control scheme for multi-node using the group-based approach , 2015, IET Networks.

[10]  Sofiane Imadali,et al.  A Review of Network Mobility Protocols for Fully Electrical Vehicles Services , 2014, IEEE Intelligent Transportation Systems Magazine.

[11]  Nerea Toledo,et al.  A proposal to contribute to ITS standardization activity: A valuable network mobility management approach , 2014, Comput. Stand. Interfaces.

[12]  Naveen K. Chilamkurti,et al.  Performance Analysis of PMIPv6-Based NEtwork MObility for Intelligent Transportation Systems , 2012, IEEE Transactions on Vehicular Technology.

[13]  Ji-Woong Choi,et al.  A Scheme Improving Fast PMIPv 6-based Network Mobility by Eliminating Tunneling Overload for ITS , 2012 .

[14]  O. Nelles,et al.  An Introduction to Optimization , 1996, IEEE Antennas and Propagation Magazine.

[15]  Edwin K. P. Chong,et al.  An Introduction to Optimization: Chong/An Introduction , 2008 .

[16]  Antonio F. Gómez-Skarmeta,et al.  A Framework for Supporting Network Continuity in Vehicular IPv6 Communications , 2014, IEEE Intelligent Transportation Systems Magazine.

[17]  Fei Xie,et al.  Small-Scale and Large-Scale Routing in Vehicular Ad Hoc Networks , 2009, IEEE Transactions on Vehicular Technology.

[18]  Ji-Woong Choi,et al.  Enhanced Fast Handover for Network Mobility in Intelligent Transportation Systems , 2014, IEEE Transactions on Vehicular Technology.