Abstract
Sensor nodes having the limited resource, energy efficiency is an important issue. Clustering on the sensor networks reduces the volume of inter-node communications and raises energy efficiency by transmitting the data collected from members by a cluster head via a sink node. But, due to radio frequency characteristics, interference and collision can occur between neighbor clusters, the resulted re-transmission is more energy consuming. The previous problems occurred between neighbor clusters can be resolved by assigning channels which do not overlap between neighbor clusters. In this paper, we propose a method which assigns and reuses channels which do not overlap between neighbor clusters in dynamic cluster sensor networks. The resource allocation model of the proposed method is analyzed by correctness and simplicity.
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References
Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: Wireless sensor networks: a survey. Computer Networks 38 (2002)
Hak, L.S., Hwan, K.D., Jae, Y.J.: Ubiquitous sensor network technic trend. Korea Internet Information Institute Paper, 97–107 (2005)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In: Proceedings of the Hwaii International Conference on System Science, pp. 1–10 (January 2000)
Ye, W., Heidemann, J., Estrin, D.: An Energy-Efficient MAC Protocol for Wireless Sensor Networks. In: Proceedings of the 21st IEEE INFOCOM, vol. 3, pp. 1567–1576 (June 2002)
Dam, T., Langendoen, K.: An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks. In: Proceedings of the 1st ACM Conference on Embedded Networked Sensor Systems, pp. 171–180 (November 2003)
Rhee, I., Warrier, A., Aia, M., Min, J.: Z-MAC: a Hybrid MAC for Wireless Sensor Networks. In: Proceedings of the 3rd ACM Conference on Embeded Networked Sensor Systems, pp. 90–101 (November 2005)
Degesys, J., Rose, I., Patel, A., Nagpal, R.: DESYNC: Self-Organizing Desynchronization and TDMA on Wireless Sensor Networks. In: Proceedings of the 6th International Symposium on Information Processing in Sensor Networks, pp. 11–20 (April 2007)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In: Proceedings of the 3rd Hawaii International Conference on System Sciences (2000)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: An Application-Specific Protocol Architecture for Wireless Microsensor Networks. IEEE Transactions on Wireless Communication (2002)
Younis, O., Fahmy, S.: HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad-hoc Sensor Networks. IEEE Transaction on Mobile Computing (October 2004)
Smaragdakis, G., Matta, I., Bestavros, A.: SEP: A stable election protocol for clustered heterogenous wireless sensor networks. In: International Workshop on SANPA, Boston, vol. (4), pp. 660–670 (2004)
Ying, L., Haibin, Y.: Energy Adaptive Cluster-Head Selection for Wireless Sensor Networks. In: Proceedings of the 6th International Conference on Parallel and Distributed Computing Applications and Technologies, pp. 634–638 (December 2005)
Vlajic, N., Xia, D.: Wireless Sensor Networks: To Cluster or Not To Cluster? In: International Symposium on a World of Wireless (2006)
Lin, T.C., Huang, H.C., Liao, B.Y., Pan, J.S.: An Optimized Approach on Applying Genetic Algorithm to Adaptive Cluster Validity Index. International Journal of Computer Sciences and Engineering Systems 1(4), 253–257 (2007)
Kim, J.S., Lee, J.H., Rim, K.W.: 3DE: Selective Cluster Head Selection scheme for Energy Efficiency in Wireless Sensor Networks. In: The 2nd ACM International Conference on Pervasive Technologies Related to Assistive Environments (2009)
Hong, T.-P., Wu, C.-H.: An Improved Weighted Clustering Algorithm for Determination of Application Nodes in Heterogeneous Sensor Networks. Journal of Information Hiding and Multimedia Signal Processing 2(2), 173–184 (2011)
Marsh, G.W., Kahn, J.M.: Channel Reuse Strategies for Indoor Infrared Wireless Communications. IEEE Transactions on Communications 45(10) (October 1997)
Wang, X., Berger, T.: Spatial channel reuse in wireless sensor networks. Journal of Wireless Networks 14(2) (March 2008)
Wu, M., Kim, S., Kim, C.: A Routing Method Based on Cost Matrix in Ad Hoc Networks. In: Nguyen, N.T., Katarzyniak, R., Chen, S.-M. (eds.) Advances in Intelligent Information and Database Systems. SCI, vol. 283, pp. 337–347. Springer, Heidelberg (2010)
Wu, M., Kim, C.: A cost matrix agent for shortest path routing in ad hoc networks. Journal of Network and Computer Applications 33, 646–652 (2010)
Wu, M., Kim, C., Jung, J.J.: Leader Election Based on Centrality and Connectivity Measurements in Ad Hoc Networks. In: Jędrzejowicz, P., Nguyen, N.T., Howlet, R.J., Jain, L.C. (eds.) KES-AMSTA 2010, Part I. LNCS, vol. 6070, pp. 401–410. Springer, Heidelberg (2010)
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Wu, M., Leem, I., Jung, J.J., Kim, C. (2012). A Resource Reuse Method in Cluster Sensor Networks in Ad Hoc Networks. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7197. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28490-8_5
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DOI: https://doi.org/10.1007/978-3-642-28490-8_5
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