Abstract
Geographic Routing (GR) algorithms require nodes to periodically transmit HELLO messages to allow neighbors to know their positions (beaconing mechanism). Beacon-less routing algorithms have recently been proposed to reduce the control overheads due to these messages. However, existing beacon-less algorithms have not considered realistic physical layers. Therefore, those algorithms cannot work properly in realistic scenarios. In this paper we present a new beaconless routing protocol called BOSS. Its design is based on the conclusions of our open-field experiments using Tmote-sky sensors. BOSS is adapted to error-prone networks and incorporates a new mechanism to reduce collisions and duplicate messages produced during the selection of the next forwarder node. We compare BOSS with Beacon-Less Routing (BLR) and Contention-Based Forwarding (CBF) algorithms through extensive simulations. The results show that our scheme is able to achieve almost perfect packet delivery ratio (like BLR) while having a low bandwidth consumption (even lower than CBF). Additionally, we carried out an empirical evaluation in a real testbed that shows the correctness of our simulation results.
Similar content being viewed by others
References
Blum B, He T, Son S, Stankovic J. IGF: A state-free robust communication protocol for wireless sensor networks. Tech. Rep., Department of Computer Science, University of Virginia, USA, 2003.
Zorzi M, Rao R. Geographic random forwarding (GeRaF) for ad hoc and sensor networks: Energy and latency performance. IEEE Transactions on Mobile Computing, 2003, 2(4): 349–365.
Füß H, Widmer J, Käsemann M, Mauve M, Hartenstein H. Contention-based forwarding for mobile ad hoc networks. Ad Hoc Networks, 2003, 1(4): 351–369.
Heissenbüttel M, Braun T, Bernoulli T et al. BLR: Beaconless routing algorithm for mobile ad-hoc networks. Elseviers Journal of Computer Communications, July 2004, 27: 1076–1086.
Zhao J, Govindan R. Understanding packet delivery performance in dense wireless sensor networks. In Proc. First International Conference on Embedded Networked Sensor Systems (SenSys 03), New York, NY, USA, 2003, pp.1–13.
Woo A, Tong T, Culler D. Taming the underlying challenges of reliable multihop routing in sensor networks. In Proc. First International Conference on Embedded Networked Sensor Systems (SenSys 03), New York, NY, USA, 2003, pp.14–27.
Giordano S, Stojmenovic I, Blazevie L. Position based routing algorithms for ad hoc networks: A taxonomy. Ad Hoc Wireless Networking, 2004, pp.103–136.
Li J, Jannotti J, Couto D S J D, Karger D R et al. A scalable location service for geographic ad hoc routing. In Proc. 6th Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom 00), New York, NY, USA, 2000, pp.120–130.
Bondy J, Murty U. Graph Theory with Applications. Elsevier, North-Holland: Macmillan London, 1976.
Bose P, Morin P, Stojmenovic I, Urrutia J. Routing with guaranteed delivery in ad hoc wireless networks. Wireless Networks, 2001, 7(6): 609–616.
Marc Heissenbüttel, Torsten Braun, Markus Wälchli, Thomas Bernoulli. Evaluating of the limitations and alternatives in beaconing. Ad Hoc Networks, 2007, 5(5): 558–578.
Witt M, Turau V. The impact of location errors on geographic routing in sensor networks. In Proc. Second International Conference on Wireless and Mobile Communications (ICWMC06), Bucharest, Romania, July 2006, p.76.
Zorzi M. A new contention-based MAC protocol for geographic forwarding in ad hoc and sensor networks. In Proc. IEEE International Conference on Communications (ICC 04), Paris, France, 2004, pp.3481–3485.
Witt M, Turau V. BGR: Blind geographic routing for sensor networks. In Proc. Third Workshop on Intelligent Solutions in Embedded Systems (WISES05), Hamburg, Germany, May 2005, pp.51–61.
Chawla M, Goel N, Kalaichelvan K et al. Beaconless position based routing with guaranteed delivery for wireless ad-hoc and sensor networks. In Proc. 19th IFIP World Computer Congress (WCC’06), Santiago de Chile, Chile, August 2006, pp.61–70.
Tmote sky: Low power wireless sensor module. Datasheet. 2005.
CC2420 2.4GHz IEEE 802.15.4/Zigbee RF Transceiver. Chipcon Product data sheet, June 9, 2004.
Ganesan D, Krishnamachari B, Woo A et al. Complex behavior at scale: An experimental study of low-power wireless sensor networks. Technical Report CS TR 02-0013, UCLA, February 2002.
Zhao J, Govindan R. Understanding packet delivery performance in dense wireless sensor networks. In Proc. First International Conference on Embedded Networked Sensor Systems, Los Angeles, California, USA, 2003, pp.1–13.
Cerpa A, Wong J L, Kuang L et al. Statistical model of lossy links in wireless sensor networks. In Proc. 4th International Symposium on Information Processing in Sensor Networks, (IPSN 05), Piscataway, NJ, USA, 2005, p.11.
Toussaint G. The relative neighborhood graph of a finite planar set. Pattern Recognition, 1980, 12: 261–268.
Gabriel K, Sokal R. A new statistical approach to geographic variation analysis. Systematic Zoology, 1969, 18: 259–278.
Author information
Authors and Affiliations
Corresponding author
Additional information
This work is supported by Spanish MEC under Grant No. TIN2005-07705-C02-02 and the “Ramony Cajal” work programme.
Rights and permissions
About this article
Cite this article
Sánchez, J.A., Marín-Pérez, R. & Ruiz, P.M. Beacon-Less Geographic Routing in Real Wireless Sensor Networks. J. Comput. Sci. Technol. 23, 438–450 (2008). https://doi.org/10.1007/s11390-008-9145-8
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11390-008-9145-8