Orion Routing Protocol for Delay Tolerant Networks

In this paper, we address the problem of efficient routing in delay tolerant network. We propose a new routing protocol dubbed as ORION. In ORION, only a single copy of a data packet is kept in the network and transmitted, contact by contact, towards the destination. The aim of the ORION routing protocol is twofold: on one hand, it enhances the delivery ratio in networks where an end-to-end path does not necessarily exist, and on the other hand, it minimizes the routing delay and the network overhead to achieve better performance. In ORION, nodes are aware of their neighbourhood by the mean of actual and statistical estimation of new contacts. ORION makes use of autoregressive moving average (ARMA) stochastic processes for best contact prediction and geographical coordinates for optimal greedy data packet forwarding. Simulation results have demonstrated that ORION outperforms other existing DTN routing protocols such as PRoPHET in terms of end-to-end delay, packet delivery ratio, hop count and first packet arrival.

[1]  K. Sohraby,et al.  A Generalized Random Mobility Model for Wireless Ad Hoc Networks and Its Analysis: One-Dimensional Case , 2007, IEEE/ACM Transactions on Networking.

[2]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1971 .

[3]  Anders Lindgren,et al.  Probabilistic routing in intermittently connected networks , 2003, MOCO.

[4]  Arun Venkataramani,et al.  DTN routing as a resource allocation problem , 2007, SIGCOMM '07.

[5]  Richard A. Davis,et al.  Time Series: Theory and Methods , 2013 .

[6]  Saurabh Bagchi,et al.  Fault Tolerant ARIMA-based Aggregation of Data in Sensor Networks , 2007 .

[7]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[8]  Amarnath Mukherjee,et al.  Time series models for internet traffic , 1996, Proceedings of IEEE INFOCOM '96. Conference on Computer Communications.

[9]  Brian Gallagher,et al.  MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[10]  Jyoti Prakash Singh,et al.  Temporal behavior analysis of mobile ad hoc network with different mobility patterns , 2009, ICAC3 '09.

[11]  Cauligi S. Raghavendra,et al.  Spray and wait: an efficient routing scheme for intermittently connected mobile networks , 2005, WDTN '05.

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

[13]  Cauligi S. Raghavendra,et al.  Spray and Focus: Efficient Mobility-Assisted Routing for Heterogeneous and Correlated Mobility , 2007, Fifth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerComW'07).

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

[15]  Jorma T. Virtamo,et al.  A Markovian Waypoint Mobility Model with Application to Hotspot Modeling , 2006, 2006 IEEE International Conference on Communications.

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

[17]  Kui Wu,et al.  Energy efficient information collection with the ARIMA model in wireless sensor networks , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[18]  D. B. Preston Spectral Analysis and Time Series , 1983 .