M2M-Based Service Coverage for Mobile Users in Post-Emergency Environments

In an infrastructure-based wireless network, including mobile users and vehicles, many crucial and important services are provisioned by a centralized server. However, due to damaged infrastructure and increased mobility caused by an emergency, maintaining continuous service coverage in such a network can be challenging. Although several prediction-based replication methods have been proposed to achieve service coverage through replication of the central server, they are unable to accurately predict future topological changes and thus maintain service coverage in a post-emergency network. These topological changes are, in fact, directly related to user mobility. Nevertheless, existing mobility models are unable to realistically represent post-emergency user movements. Consequently, at first, this paper proposes a realistic mobility model that includes users' post-emergency complex behavioral changes. Subsequently, this paper proposes a machine-to-machine (M2M) networking-based service coverage framework for post-emergency environments. The proposed framework performs not only accurate prediction of the proposed user mobility but also optimal replication, utilizing these predictions, of the central server to achieve continuous service coverage. In addition, the framework requires no supervision and fewer resources to perform these functions due to use of the M2M networking. Simulation results are further used to verify the effectiveness of proposals presented in this paper.

[1]  Licia Capra,et al.  Habit: Leveraging human mobility and social network for efficient content dissemination in Delay Tolerant Networks , 2009, 2009 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks & Workshops.

[2]  Zygmunt J. Haas,et al.  Virtual backbone generation and maintenance in ad hoc network mobility management , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[3]  Tracy Camp,et al.  A survey of mobility models for ad hoc network research , 2002, Wirel. Commun. Mob. Comput..

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

[5]  Xiaoyan Hong,et al.  A group mobility model for ad hoc wireless networks , 1999, MSWiM '99.

[6]  Sung-Ju Lee,et al.  Mobility prediction and routing in ad hoc wireless networks , 2001, Int. J. Netw. Manag..

[7]  Robin Kravets,et al.  Event-driven, role-based mobility in disaster recovery networks , 2007, CHANTS '07.

[8]  Stavros Kotsopoulos,et al.  Simulating mission critical mobile ad hoc networks , 2009, PM2HW2N '09.

[9]  Matthias Frank,et al.  Modelling mobility in disaster area scenarios , 2007, MSWiM '07.

[10]  Christoph F. Mecklenbräuker,et al.  On Wireless Links for Vehicle-to-Infrastructure Communications , 2010, IEEE Transactions on Vehicular Technology.

[11]  Abbas Jamalipour,et al.  A MANET-based semantic traffic management framework for ubiquitous public safety networks , 2014, Wirel. Commun. Mob. Comput..

[12]  Dijiang Huang.  Using Delaunay triangulation to construct obstacle detour mobility model , 2005, IEEE Wireless Communications and Networking Conference, 2005.

[13]  R S Wilkinson.  Public safety. , 1967, The Medical journal of Australia.

[14]  Ahmed Helmy,et al.  The IMPORTANT framework for analyzing the Impact of Mobility on Performance Of RouTing protocols for Adhoc NeTworks , 2003, Ad Hoc Networks.

[15]  Marco Conti,et al.  Multihop Ad Hoc Networking: The Theory , 2007, IEEE Communications Magazine.

[16]  Injong Rhee,et al.  SLAW: A New Mobility Model for Human Walks , 2009, IEEE INFOCOM 2009.

[17]  Abbas Jamalipour,et al.  A modified M2M-based movement prediction for realistic emergency environments , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[18]  Nadjib Badache,et al.  Mobile Networks A pull-based service replication protocol in mobile ad hoc networks , 2007, Eur. Trans. Telecommun..

[19]  Ravi Prakash,et al.  Information dissemination in partitionable mobile ad hoc networks , 1999, Proceedings of the 18th IEEE Symposium on Reliable Distributed Systems.

[20]  Keiichi Yasumoto,et al.  DAR: Distributed Adaptive Service Replication for MANETs , 2009, 2009 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications.

[21]  Joarder Kamruzzaman,et al.  An environment-aware mobility model for wireless ad hoc network , 2010, Comput. Networks.

[22]  Marco Conti,et al.  Multihop Ad Hoc Networking: The Reality , 2007, IEEE Communications Magazine.

[23]  Federico Pedersini,et al.  A two-level social mobility model for trace generation , 2008, MobiHoc '08.

[24]  Baochun Li,et al.  Efficient and guaranteed service coverage in partitionable mobile ad-hoc networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[25]  Geng Wu,et al.  M2M: From mobile to embedded internet , 2011, IEEE Communications Magazine.

[26]  Joanna Tomasik,et al.  Ad hoc network in a disaster area: A composite mobility model and its evaluation , 2010, The 2010 International Conference on Advanced Technologies for Communications.

[27]  Jianping Wang,et al.  Exploiting Mobility Prediction for Dependable Service Composition in Wireless Mobile Ad Hoc Networks , 2011, IEEE Transactions on Services Computing.

[28]  Takahiro Hara,et al.  Effective replica allocation in ad hoc networks for improving data accessibility , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).