Analysis of relay protocols for throwbox-equipped DTNs

This paper addresses the design and performance evaluation of relay strategies for opportunistic Delay Tolerant Networks (DTNs) augmented with throwboxes. By opportunistic we mean that a node does not have any knowledge regarding its past and future contact opportunities with the other nodes. We consider a network model composed of both mobile relay nodes and throwboxes, where throwboxes are stationary wireless devices acting simply as fixed relays. We propose and evaluate various relay strategies, where the goal is to take advantage of the presence of throwboxes to minimize resources consumption at mobile nodes. Under Markovian assumptions we introduce a mathematical framework which allows us to calculate the main performance metrics (average delivery delay, overhead, etc.) of each proposed relay scheme. The obtained results highlight the various trade-offs that are left to network designers when adding throwboxes to a DTN, and draw insights on the effectiveness of these strategies.

[1]  Donald F. Towsley,et al.  Relays, base stations, and meshes: enhancing mobile networks with infrastructure , 2008, MobiCom '08.

[2]  Giovanni Neglia,et al.  Optimal delay-power tradeoff in sparse delay tolerant networks: a preliminary study , 2006, CHANTS '06.

[3]  Amin Vahdat,et al.  Epidemic Routing for Partially-Connected Ad Hoc Networks , 2009 .

[4]  Ellen W. Zegura,et al.  Capacity Enhancement using Throwboxes in DTNs , 2006, 2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems.

[5]  Samuel Karlin,et al.  A First Course on Stochastic Processes , 1968 .

[6]  Vinton G. Cerf,et al.  Delay-tolerant networking: an approach to interplanetary Internet , 2003, IEEE Commun. Mag..

[7]  Zygmunt J. Haas,et al.  The shared wireless infostation model: a new ad hoc networking paradigm (or where there is a whale, there is a way) , 2003, MobiHoc '03.

[8]  Christian Bettstetter,et al.  Mobility modeling in wireless networks: categorization, smooth movement, and border effects , 2001, MOCO.

[9]  Zygmunt J. Haas,et al.  Resource and performance tradeoffs in delay-tolerant wireless networks , 2005, WDTN '05.

[10]  L. Tong,et al.  Energy Efficient Data Collection in Sensor Networks , 2022 .

[11]  Jean-Yves Le Boudec,et al.  Power Law and Exponential Decay of Intercontact Times between Mobile Devices , 2007, IEEE Transactions on Mobile Computing.

[12]  Pan Hui,et al.  Impact of Human Mobility on the Design of Opportunistic Forwarding Algorithms , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[13]  Gaetano Borriello,et al.  Exploiting Mobility for Energy Efficient Data Collection in Wireless Sensor Networks , 2006, Mob. Networks Appl..

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

[15]  Mouhamad Ibrahim Routing and performance evaluation of disruption tolerant networks. (Evaluation des performances des réseaux tolérants aux perturbations) , 2008 .

[16]  Kevin R. Fall,et al.  A delay-tolerant network architecture for challenged internets , 2003, SIGCOMM '03.

[17]  David A. Maltz,et al.  A performance comparison of multi-hop wireless ad hoc network routing protocols , 1998, MobiCom '98.

[18]  Jean-Yves Le Boudec,et al.  Perfect simulations for random trip mobility models , 2005, 38th Annual Simulation Symposium.

[19]  Ahmad Al Hanbali,et al.  Delay and resource analysis in MANETs in presence of throwboxes , 2007, Perform. Evaluation.

[20]  Ger Koole,et al.  The message delay in mobile ad hoc networks , 2005, Perform. Evaluation.

[21]  Rabin K. Patra,et al.  Routing in a delay tolerant network , 2004, SIGCOMM '04.

[22]  Ellen W. Zegura,et al.  Message ferry route design for sparse ad hoc networks with mobile nodes , 2006, MobiHoc '06.