Abstract
We propose two novel algorithms for distributed and location-free boundary recognition in wireless sensor networks. Both approaches enable a node to decide autonomously whether it is a boundary node, based solely on connectivity information of a small neighborhood. This makes our algorithms highly applicable for dynamic networks where nodes can move or become inoperative.
We compare our algorithms qualitatively and quantitatively with several previous approaches. In extensive simulations, we consider various models and scenarios. Although our algorithms use less information than most other approaches, they produce significantly better results. They are very robust against variations in node degree and do not rely on simplified assumptions of the communication model. Moreover, they are much easier to implement on real sensor nodes than most existing approaches.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bi, K., Tu, K., Gu, N., Dong, W.L., Liu, X.: Topological hole detection in sensor networks with cooperative neighbors. In: International Conference on Systems and Networks Communication (ICSNC 2006), pp. 31–35 (2006)
De Silva, V., Ghrist, R.: Coordinate-free coverage in sensor networks with controlled boundaries via homology. International Journal of Robotics Research 25(12), 1205–1222 (2006)
Deogun, J.S., Das, S., Hamza, H.S., Goddard, S.: An algorithm for boundary discovery in wireless sensor networks. In: Bader, D.A., Parashar, M., Sridhar, V., Prasanna, V.K. (eds.) HiPC 2005. LNCS, vol. 3769, pp. 343–352. Springer, Heidelberg (2005)
Dong, D., Liu, Y., Liao, X.: Fine-grained boundary recognition in wireless ad hoc and sensor networks by topological methods. In: MobiHoc 2009: Proceedings of the Tenth ACM International Symposium on Mobile ad Hoc Networking and Computing, pp. 135–144. ACM, New York (2009)
Fang, Q., Gao, J., Guibas, L.J.: Locating and bypassing routing holes in sensor networks. In: INFOCOM 2004. Twenty-third Annual Joint Conference of the IEEE Computer and Communications Societies (2004)
Fekete, S.P., Kaufmann, M., Kröller, A., Lehmann, N.: A new approach for boundary recognition in geometric sensor networks. In: Proceedings 17th Canadian Conference on Computational Geometry, pp. 82–85 (2005)
Fekete, S.P., Kröller, A., Pfisterer, D., Fischer, S., Buschmann, C.: Neighborhood-based topology recognition in sensor networks. In: Nikoletseas, S.E., Rolim, J.D.P. (eds.) ALGOSENSORS 2004. LNCS, vol. 3121, pp. 123–136. Springer, Heidelberg (2004)
Funke, S.: Topological hole detection in wireless sensor networks and its applications. In: DIALM-POMC 2005: Proceedings of the 2005 Joint Workshop on Foundations of Mobile Computing, pp. 44–53. ACM, USA (2005)
Funke, S., Klein, C.: Hole detection or: how much geometry hides in connectivity? In: SCG 2006: Proceedings of the Twenty-Second Annual Symposium on Computational Geometry, pp. 377–385. ACM, USA (2006)
Ghrist, R., Muhammad, A.: Coverage and hole-detection in sensor networks via homology. In: IPSN 2005: Proceedings of the 4th International Symposium on Information Processing in Sensor Networks, pp. 254–260. IEEE Press, USA (2005)
Kröller, A., Fekete, S.P., Pfisterer, D., Fischer, S.: Deterministic boundary recognition and topology extraction for large sensor networks. In: 17th Annual ACM–SIAM Symposium on Discrete Algorithms (SODA 2006), pp. 1000–1009 (2006)
Martincic, F., Schwiebert, L.: Distributed perimeter detection in wireless sensor networks. Tech. Rep. WSU-CSC-NEWS/03-TR03, Wayne State University (2004)
Saukh, O., Sauter, R., Gauger, M., Marrón, P.J.: On boundary recognition without location information in wireless sensor networks. ACM Transactions on Sensor Networks (TOSN) 6(3), 1–35 (2010)
Schieferdecker, D., Völker, M., Wagner, D.: Efficient algorithms for distributed detection of holes and boundaries in wireless networks. Tech. Rep. 2011-08, Karlsruhe Institute of Technology (2011)
Torgerson, W.S.: Multidimensional Scaling: I. Theory and Method. Psychometrika 17(4), 401–419 (1952)
Wang, Y., Gao, J., Mitchell, J.S.: Boundary recognition in sensor networks by topological methods. In: MobiCom 2006: 12th Annual International Conference on Mobile Computing and Networking, pp. 122–133. ACM, USA (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Schieferdecker, D., Völker, M., Wagner, D. (2011). Efficient Algorithms for Distributed Detection of Holes and Boundaries in Wireless Networks. In: Pardalos, P.M., Rebennack, S. (eds) Experimental Algorithms. SEA 2011. Lecture Notes in Computer Science, vol 6630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20662-7_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-20662-7_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20661-0
Online ISBN: 978-3-642-20662-7
eBook Packages: Computer ScienceComputer Science (R0)