Abstract
A novel approach for achieving high Quality of Service (QoS) in sensor networks via topology control is introduced and experimentally assessed in this paper. Our approach falls in the broader discipline of graph structural mining, and exploits a leading concept initially studied in the context of Social Network Analysis (SNA), namely betweenness. Particularly, in our research betweenness is applied in terms of a graph structural mining measure embedded in the core layer of our proposed topology control algorithm, called Edge Betweenness Centrality (EBC). EBC allows us to evaluate relationships between entities of the network (e.g., nodes, edges), and hence identify different roles among them (e.g., brokers, outliers). In turn, deriving knowledge is further exploited to define raking operators that look at structural properties of the graph modeling the target sensor network. Based on these amenities, our topology control algorithm is able of providing an “insight” of the graph structure of the network on top which control over information flow, message delivery, latency and energy dissipation among nodes can be easily deployed.
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.
Similar content being viewed by others
References
Bonacich, P.: Factoring and weighting approaches to status scores and clique identification. Journal of Mathematical Sociology 2(1), 113–120 (1972)
Brandes, U.: A faster algorithm for betweenness centrality. Journal of Mathematical Sociology 25, 163–177 (2001)
Brandes, U.: On variants of shortest-path betweenness centrality and their generic computation. Social Networks 30(2), 136–145 (2008)
Cuzzocrea, A.: Intelligent techniques for warehousing and mining sensor network data. IGI Global (2009)
Dijkstra, E.W.: A note on two problems in connexion with graphs. Numerische Mathematik 1(1), 269–271 (1959)
Freeman, L.C.: A set of measures of centrality based on betweenness. Sociometry 40(1), 35–41 (1977)
Freeman, L.C.: Centrality in social networks: Conceptual clarification. Social Networks 1(3), 215–239 (1979)
Gabriel, R.K., Sokal, R.R.: A new statistical approach to geographic variation analysis. Systematic Zoology 18(3), 259–278 (1969)
Girvan, M., Newman, M.E.: Community structure in social and biological networks. Proc. Natl. Acad. Sci. U S A 99(12), 7821–7826 (2002)
Hackmann, G., Chipara, O., Lu, C.: Robust topology control for indoor wireless sensor networks. In: SenSys 2008: Proceedings of the 6th ACM conference on Embedded network sensor systems, pp. 57–70. ACM, New York (2008)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: HICSS 2000: Proceedings of the 33rd Hawaii International Conference on System Sciences, Washington, DC, USA, vol. 8, p. 8020. IEEE Computer Society, Los Alamitos (2000)
Huang, Z., chung Shen, C., Srisathapornphat, C., Jaikaeo, C.: Topology control for ad hoc networks with directional antennas. In: Proc. IEEE Int. Conference on Computer Communications and Networks, pp. 16–21 (2002)
Intanagonwiwat, C., Govindan, R., Estrin, D., Heidemann, J., Silva, F.: Directed diffusion for wireless sensor networking. IEEE/ACM Trans. Netw. 11(1), 2–16 (2003)
Kruskal, J.B.: On the shortest spanning subtree of a graph and the traveling salesman problem. Proceedings of the American Mathematical Society 7(1), 48–50 (1956)
Liu, B., Brass, P., Dousse, O., Nain, P., Towsley, D.: Mobility improves coverage of sensor networks. In: MobiHoc 2005: Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing, pp. 300–308. ACM, New York (2005)
Liu, J., Li, B.: Distributed topology control in wireless sensor networks with asymmetric links (2003)
Liu, W., Cui, L., Niu, X., Liu, W.: Easitpq: Qos-based topology control in wireless sensor network. J. Signal Process. Syst. 51(2), 173–181 (2008)
Mathur, G., Desnoyers, P., Ganesan, D., Shenoy, P.: Ultra-low power data storage for sensor networks. In: IPSN 2006: Proceedings of the 5th international conference on Information processing in sensor networks, pp. 374–381. ACM, New York (2006)
Li, N., Hou, J.C., Sha, L.: Design and analysis of an mst-based topology control algorithm. IEEE Transactions on Wireless Communications 4(3), 1195–1206 (2005)
Newman, M.E.J., Girvan, M.: Finding and evaluating community structure in networks (August 2003)
Page, L., Brin, S., Motwani, R., Winograd, T.: The pagerank citation ranking: Bringing order to the web. Technical report, Stanford Digital Library Technologies Project (1998)
Pan, J., Hou, Y.T., Cai, L., Shi, Y., Shen, S.X.: Topology control for wireless sensor networks. In: MobiCom 2003: Proceedings of the 9th annual international conference on Mobile computing and networking, pp. 286–299. ACM, New York (2003)
Ramanathan, R., Rosales-hain, R.: Topology control of multihop wireless networks using transmit power adjustment, pp. 404–413 (2000)
Shen, Y., Cai, Y., Xu, X.: A shortest-path-based topology control algorithm in wireless multihop networks. SIGCOMM Comput. Commun. Rev. 37(5), 29–38 (2007)
Sheng, B., Li, Q., Mao, W.: Data storage placement in sensor networks. In: MobiHoc 2006: Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing, pp. 344–355. ACM, New York (2006)
Sobeih, A., Hou, J.C., Kung, L.-C., Li, N., Zhang, H., Chen, W.-P., Tyan, H.-Y., Lim, H.: J-Sim: A simulation and emulation environment for wireless sensor networks. IEEE Wireless Communications Magazine 13(4), 104–119 (2006)
Thai, M.T., Wang, F., Du, D.H., Jia, X.: Coverage problems in wireless sensor networks designs and analysis. Int. J. Sen. Netw. 3(3), 191–200 (2008)
Tseng, Y.-C., chee Tseng, Y., Chang, Y.-N., hour Tzeng, B.: Energy-efficient topology control for wireless ad hoc sensor networks (2002)
Wattenhofer, R., Li, L., Bahl, P., min Wang, Y.: Distributed topology control for power efficient operation in multihop wireless ad hoc networks, pp. 1388–1397 (2001)
Jia, D.L.X., Du, D.-Z.: Qos topology control in ad hoc wireless networks. In: IEEE Infocom 2004 (2004)
Yoon, J., Blumer, A., Lee, K.: An algorithm for modularity analysis of directed and weighted biological networks based on edge-betweenness centrality. Bioinformatics 22(24), 3106–3108 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Cuzzocrea, A., Katsaros, D., Manolopoulos, Y., Papadimitriou, A. (2009). EBC: A Topology Control Algorithm for Achieving High QoS in Sensor Networks. In: Bartolini, N., Nikoletseas, S., Sinha, P., Cardellini, V., Mahanti, A. (eds) Quality of Service in Heterogeneous Networks. QShine 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 22. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10625-5_39
Download citation
DOI: https://doi.org/10.1007/978-3-642-10625-5_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10624-8
Online ISBN: 978-3-642-10625-5
eBook Packages: Computer ScienceComputer Science (R0)