Route Stability in MANETs under the Random Direction Mobility Model

A fundamental issue arising in mobile ad hoc networks (MANETs) is the selection of the optimal path between any two nodes. A method that has been advocated to improve routing efficiency is to select the most stable path so as to reduce the latency and the overhead due to route reconstruction. In this work, we study both the availability and the duration probability of a routing path that is subject to link failures caused by node mobility. In particular, we focus on the case where the network nodes move according to the Random Direction model, and we derive both exact and approximate (but simple) expressions of these probabilities. Through our results, we study the problem of selecting an optimal route in terms of path availability. Finally, we propose an approach to improve the efficiency of reactive routing protocols.

[1]  Stephen B. Wicker,et al.  On the behavior of communication links of a node in a multi-hop mobile environment , 2004, MobiHoc '04.

[2]  John P. Hayes,et al.  Impact of mobility on connection stability in ad hoc networks , 2005 .

[3]  Chai-Keong Toh,et al.  Associativity-Based Routing for Ad Hoc Mobile Networks , 1997, Wirel. Pers. Commun..

[4]  Hui Li,et al.  Path availability in ad hoc network , 2003, 10th International Conference on Telecommunications, 2003. ICT 2003..

[5]  Yu-Chee Tseng,et al.  On Route Lifetime in Multihop Mobile Ad Hoc Networks , 2003, IEEE Trans. Mob. Comput..

[6]  Ahmed Helmy,et al.  Modeling path duration distributions in MANETs and their impact on reactive routing protocols , 2004, IEEE Journal on Selected Areas in Communications.

[7]  Robert Tappan Morris,et al.  a high-throughput path metric for multi-hop wireless routing , 2003, MobiCom '03.

[8]  Hui Li,et al.  Link expiration times in mobile ad hoc networks , 2002, 27th Annual IEEE Conference on Local Computer Networks, 2002. Proceedings. LCN 2002..

[9]  Baruch Awerbuch,et al.  The Medium Time Metric: High Throughput Route Selection in Multi-rate Ad Hoc Wireless Networks , 2006, Mob. Networks Appl..

[10]  S. Wittevrongel,et al.  Queueing Systems , 2019, Introduction to Stochastic Processes and Simulation.

[11]  Eitan Altman,et al.  Relaying in mobile ad hoc networks: The Brownian motion mobility model , 2006, Wirel. Networks.

[12]  Krishna M. Sivalingam,et al.  A Survey of Energy Efficient Network Protocols for Wireless Networks , 2001, Wirel. Networks.

[13]  Michele Garetto,et al.  Analysis of Random Mobility Models with Partial Differential Equations , 2007, IEEE Transactions on Mobile Computing.

[14]  B. M. Fulk MATH , 1992 .

[15]  Gil Zussman,et al.  Energy efficient routing in ad hoc disaster recovery networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[16]  Jatinder Pal Singh,et al.  Route-lifetime assessment based routing (RABR) protocol for mobile ad-hoc networks , 2000, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record.

[17]  Michele Garetto,et al.  Analysis of random mobility models with PDE's , 2006, MobiHoc '06.

[18]  Louise E. Moser,et al.  An analysis of the optimum node density for ad hoc mobile networks , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[19]  Donald F. Towsley,et al.  Properties of random direction models , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

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

[21]  Taieb Znati,et al.  A mobility-based framework for adaptive clustering in wireless ad hoc networks , 1999, IEEE J. Sel. Areas Commun..

[22]  W. Davidon,et al.  Mathematical Methods of Physics , 1965 .

[23]  Kevin Barraclough,et al.  I and i , 2001, BMJ : British Medical Journal.

[24]  Yijie Han,et al.  Path Selection in Mobile Ad-Hoc Networks and Distribution of Path Duration , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

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

[26]  Hui Li,et al.  Lower bound on path availability in ad hoc network , 2003, The 57th IEEE Semiannual Vehicular Technology Conference, 2003. VTC 2003-Spring..

[27]  R. Stephenson A and V , 1962, The British journal of ophthalmology.

[28]  Richard L. Tweedie,et al.  Markov Chains and Stochastic Stability , 1993, Communications and Control Engineering Series.

[29]  Teresa H. Meng,et al.  Minimum energy mobile wireless networks , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[30]  Paolo Santi,et al.  The Node Distribution of the Random Waypoint Mobility Model for Wireless Ad Hoc Networks , 2003, IEEE Trans. Mob. Comput..

[31]  Satish K. Tripathi,et al.  Signal stability-based adaptive routing (SSA) for ad hoc mobile networks , 1997, IEEE Wirel. Commun..

[32]  P. Minet,et al.  Energy Efficient Routing , 2009 .

[33]  GroeneveltR.,et al.  Relaying in mobile ad hoc networks , 2006 .

[34]  Sajal K. Das,et al.  Longevity of routes in mobile ad hoc networks , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

[35]  Cauligi S. Raghavendra,et al.  Performance analysis of mobility-assisted routing , 2006, MobiHoc '06.

[36]  John P. Hayes,et al.  Impact of mobility on connection in ad hoc networks , 2005, IEEE Wireless Communications and Networking Conference, 2005.

[37]  Yijie Han,et al.  Distribution of path durations in mobile ad-hoc networks - Palm's Theorem at work , 2003 .