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Billiardo: A Novel Virtual Coordinates Routing Protocol Based on Multiple Sinks for Wireless Sensor Network

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Abstract

Geographic routing protocols based on virtual coordinate system are used in wireless sensor networks without GPS assistance or any localization technique. They rely completely on virtual coordinates derived from relative distances or hop counting to a set of anchor nodes in the sensor network. Despite the fact that the recently proposed virtual coordinate protocols have gained advantages as they are GPS free, they suffer from crucial inevitable problems. The reason for such a case lies, in fact, on these protocols which depend widely on the characteristic of “fixed reference points” (called anchors). The worst of these engendered problems is that of the unique reference framework where it is quite difficult to assign the existing nodes a unique identity. This lack of uniqueness cannot guarantee delivery and fails most of the time to forward the packet successfully. Moreover, a question rises here on how to select the anchors in order to use them in the field of work. Therefore; this paper comes to find out another way to solve the above-mentioned problems. The proposed routing protocol “Billiardo” is of greedy type based on virtual coordinates system. Its key idea is to use more than one sink, and all these sinks are used as anchors to allow each sensor to get its virtual coordinates. This protocol depends on hops’ count to find the shortest path towards just one selected sink among the other sinks without any complicated formula. Through tested simulation Billiardo proves to be far better and more efficient than the others to avoid all the thwarting problems in forwarding the packet.

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References

  1. Aksa, K. (2013). Cluster-based new virtual coordinate system for sensor network (pp. 4–5). Saarbrucken, Germany: LAMBERT Academic Publishing.

    Google Scholar 

  2. Bruck, J., Gao, J., & Jiang, A. (2005). MAP: medial axis based geometric routing in sensor networks. In Proceedings of IEEE/ACM conference on mobile computing and networking (MOBICOM) (pp. 88–102), Germany.

  3. Liu, K., & Abu-Ghazaleh, N. (2006). Aligned virtual coordinates for greedy geometric routing in wireless sensor networks. In proceedings of IEEE conference on mobile ad-hoc and sensor networks (MASS) (pp. 377–386), Vancouver, BC, Canada.

  4. Liu, K., & Abughazaleh, N. (2006). Virtual coordinate backtracking for void traversal in geographic routing. In: Proceedings of conference on ad-hoc networks and wireless (Ad hoc Now) (pp. 46–59), Ottawa, Canada.

  5. Leong, B., Liskov B., & Morris R. (2007). Greedy virtual coordinates for geographic routing. In Proceedings of IEEE conference on network protocols (ICNP) (pp. 71–80), Beijing, China.

  6. Cao, Q., & Abdelzaher, T. F. (2004). LCR: A scalable logical coordinates framework for routing in wireless sensor networks. In Proceedings of IEEE conference on real-time systems symposium (RTSS) (pp. 349–358).

  7. Fonseca, R., Ratnasamy, S., Zhao, J., TienEe, C., Culler, D., Shenker, S., & Stoica, I. (2005). Beacon vector routing: Scalable pointto point routing in wireless sensornets. In Proceedings of conference on symposium on networked systems design and implementation (NSDI) (pp. 329–342), Boston, MA, USA.

  8. Takagi, H., & Kleinrock, L. (1984). Optimal transmission ranges for randomly distributed packet radio terminals. IEEE Transaction on Communications, 32(3), 246–257.

    Article  Google Scholar 

  9. Nelson, R., & Kleinrock, L. (1984). The spatial capacity of a slotted ALOHA multihop packet radio network with capture. IEEE Transactions on Communications, 32(6), 684–694.

    Article  Google Scholar 

  10. Hou, T. C., & Li, V. O. K. (1986). Transmission range control in multihop packet radio networks. IEEE Transactions on Communications, 34(1), 38–44.

    Article  Google Scholar 

  11. Finn, G. G. (1987). Routing and addressing problems in large metropolitan-scale internetworks, ISI Research Report ISU/RR-87-180.

  12. Basagni, S., Chlamtac, I., Syrotiuk, V. R., & Woodward, B. A. (1998). A distance routing effect algorithm for mobility (DREAM). In Proceedings of MOBICOM (pp. 76–84).

  13. Ko, Y. B., & Vaidya, N. H. Location-aided routing (LAR) in mobile ad hoc networks. In: MOBICOM (pp. 66–75), 1998; Wireless Networks, 6, 307–321, 2000.

  14. Kranakis, E., Singh, H., & Urrutia, J. (1999). Compass routing on geometric networks. In: Proceedings of 11th Canadian conference on computational geometry, Vancouver.

  15. Bose, P., Morin, P., Stojmenovic, I., & Urrutia, J. (1999). Routing with guaranteed delivery in ad hoc wireless networks. In 3rd international workshop on discrete algorithms and methods for mobile computing and communications (pp. 48–55).

  16. Aksa, K., & Benmohammed, M. (2012). A comparison between geometric and bio-inspired algorithms for solving routing problem in wireless sensor network. International Journal of Networks and Communications (IJNC), 2(3), 27–32.

    Article  Google Scholar 

  17. Bennis, I., Foucha, H., Zytoune, O., & Aboutajdine, D. (2015). Carrier sense aware multipath geographic routing protocol. Wireless Communications and Mobile Computing, 16(9), 1109–1123.

    Article  Google Scholar 

  18. Hao, K., Jin, Z., Shen, H., & Wang, Y. (2015). An efficient and reliable geographic routing protocol based on partial network coding for underwater sensor networks. Sensors (Basel), 15(6), 12720–12735.

    Article  Google Scholar 

  19. Jin, X., Zhang, R., Sun, J. & Zhang, Y. (2014). TIGHT: A geographic routing protocol for cognitive radio mobile ad hoc networks. IEEE Transactions on Wireless Communications, 13(8), 4670–4681.

    Article  Google Scholar 

  20. Aksa, K. (2013). Cluster-based new virtual coordinate system for sensor network (p. 24).  Saarbrucken, Germany: LAMBERT Academic Publishing.

    Google Scholar 

  21. Liu, K. & Abu-Ghazaleh, N. (2006). Aligned virtual coordinates for greedy geometric routing in wireless sensor networks. In Proceedings of 3rd IEEE international conference on mobile adhoc and sensor networks (MASS).

  22. Liu, K., & Abu-Ghazaleh, N. (2006) Virtual coordinate backtracking for void traversal in geographic routing. In Proceedings of 5th international conference on ad-hoc networks and wireless (Ad hoc Now).

  23. Nicol, D. M., Goldsby, M. E., & Johnson, M. M. (2004). Simulation analysis of virtual geographic routing. In Proceedings of the 2004 winter simulation conference.

  24. Leong, B., Liskov, B., & Morris, R. (2007). Greedy virtual coordinates for geographic routing. In Proceedings of ICNP’07.

  25. Cao, Q., & Abdelzaher, T. F. (2004). LCR: A scalable logical coordinates framework for routing in wireless sensor networks. In RTSS (pp. 349–358).

  26. Fonseca, R., Ratnasamy, S., Zhao, J., Tien Ee, C., Culler, D., Shenker, S., & Stoica, I. (2005). Beacon vector routing: Scalable pointto-point routing in wireless sensornets. In Proceedings of the 2nd symposium on networked systems design and implementation (NSDI 2005).

  27. Ledlie, J, Mitzenmacher, M., Seltzer, M., & Pietzuch, P. (2007). Wired geometric routing. In: Proceedings of IPTPS.

  28. Caruso, A., Chessa, S., De, S., & Urpi, A. (2005). Glider: gradient landmark-based distributed routing for sensor networks. In Proceedings of IEEE 24th annual joint conference of the IEEE computer and communications societies INFOCOM 2005 (Vol. 1, pp. 339–350).

  29. Bruck, J., Gao, J., & Jiang, A. (2005). MAP: medial axis based geometric routing in sensor networks. In IEEE/ACM MOBICOM (pp. 88–102).

  30. Buttyan, L., & Schaffer, P. (2007). Panel: Position-based aggregator node election in wireless sensor networks. In Proceedings of the IEEE international conference on mobile ad hoc and sensor systems, MASS (pp. 1–9).

  31. Cháavez, E., Mitton, N., & Tejeda, H. (2007). Routing in wireless networks with position trees. In Ad Hoc Now’07, Mexico.

  32. Mitton, N., Razafindralambo, T., Simplot-Ryl, D., & Stojmenovic, I. (2008). Hector is an energy efficient tree-based optimized routing protocol for wireless networks. In Mobile ad hoc and sensor networks MSN’08, Wuhan, China.

  33. Caruso, A., Chessa, S., De, S., & Urpi, A. (2005). GPS-free coordinate assignment and routing in wireless sensor networks. In INFOCOM’05 (pp 150–160), FL, USA.

  34. Elhafsi, E. H., Mitton, N., & Simplot-Ryl, D. (2007). Cost over progress based energy efficient routing over virtual coordinates in wireless sensor networks. In WSN’07, Helsinki, Finland.

  35. Aksa, K., Benmohammed, M., & Bilami, A. (2012). New virtual coordinate system for improved routing efficiency in sensor network. International Journal of Computer Science Issues (IJCSI), 9(3), 59–72.

    Google Scholar 

  36. Dong, J., Bavar, B., & Nita-Rotaru, C. (2007). Securing virtual coordinate system based routing. In Wireless sensor networks, Computer Science Technical Reports, Purdue e-Pubs, Paper 1673.

  37. Rehena, Z., Roy, S., & Mukherjee, N. (2011). Topology partitioning in wireless sensor networks using multiple sinks. In Proceedings of of international conference on computer and information technology (ICCIT 2011).

  38. White, E. (1807). In C. Adams (Ed.), A practical treatise on the game of billiards (2nd edn. 2007). Fayettevile, USA.

  39. VisualSense Homepage, http://ptolemy.eecs.berkeley.edu/visualsense/, visited in September 2015.

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Correspondence to Karima Aksa.

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Aksa, K. Billiardo: A Novel Virtual Coordinates Routing Protocol Based on Multiple Sinks for Wireless Sensor Network. Wireless Pers Commun 94, 1147–1164 (2017). https://doi.org/10.1007/s11277-016-3675-0

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