Abstract
Energy saving, despite recent advances in extending battery life, is still an important issue in wireless ad hoc networks. An often adopted method is power management, which can help in reducing the transmission power consumption and thus can prolong the battery life of mobile nodes. In this paper, we present a new approach of power management for the wireless ad-hoc networks. Firstly, we propose a clustering algorithm. The clustering algorithm is incooperated with power adjustment and energy-efficient routing procedure to achieve the goal of reducing the transmission power. We use clusterheads to monitor a mobile node’s transmission power and to conduct the routing path between any source-destination pair. Not only the lifetime of network is increased but also the interference in communication channel is reduced. As a result, the transmission quality is improved and the network throughput is enhanced. By simulation, we showed that our algorithm outperforms the traditional clustering algorithm both in power saving and in throughput.
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
Bandyopadhyay, S., Coyle, E.J.: An energy efficient hierarchical clustering algorithm for wireless sensor networks. In: IEEE INFOCOM 2003, San Francisco, California, pp. 1713–1723 (2003)
Banerjee, S., Misra, A.: Minimum Energy Paths for Reliable Communication in Multihop Wireless Networks. In: ACM MobiHOC 2002, Lausanne, Switzerland, pp. 146–156 (2002)
Basagni, S., Chlamtac, I., Syrotiuk, V.R.: Dynamic source routing for ad-hoc networks using the global positioning system. In: IEEE Wireless Communications and Networking Conference 1999 (WCNC 1999), New Orleans, LA, pp. 301–305 (1999)
Bertsekas, D.: Data Networks. Prentice Hall, Englewood Cliffs (1992)
ElBatt, T.A., Krishnamurthy, S.V., Connors, D., Dao, S.: Power management for throughput enhancement in wireless ad-hoc networks. In: IEEE International Conference on Communications (ICC), New Orleans, LA, pp. 1506–1513 (2000)
Gerla, M., Pei, G., Lee, S.J.: Multicluster, Mobile, Multimedia Radio Network. ACM Wireless Networks 1(3), 255–265 (1995)
Huang, C.C., Chang, R.S., Guo, M.H.: Weight-based clustering multicast routing protocol for mobile ad hoc networks. In: IEEE Wireless Communications and Networking Conference (WCNC) 2003, New Orleans, LA, pp. 1112–1117 (2003)
Kawadia, V., Kumar, P.R.: Power control and clustering in ad hoc networks. In: IEEE INFOCOM 2003, San Francisco, California, pp. 459–469 (2003)
Krishna, P., Vaidya, N.H., Chatterjee, M., Pradhan, D.K.: A Cluster-based Approach for Routing in Dynamic Networks. ACM SIGCOMM Computer Communication Review, 49–65 (1997)
Kwon, T.J., Gerla, M.: Clustering with power control. In: IEEE Military Communications Conference Proceedings, Atlantic City, NJ, pp. 1424–1428 (1999)
Lin, C., Gerla, M.: Adaptive clustering for mobile wireless networks. IEEE Journal on Selected Areas in Communications 15(7), 1265–1275 (1997)
Perkins, C.E., Royer, E.M.: Ad-hoc on-demand distance vector routing. In: Second IEEE Workshop on Mobile Computing Systems and Applications (WMCSA 1999), New Orleans, LA, pp. 90–100 (1999)
Rappaport, T.S.: Wireless Communications - Principles & Practice. Prentice Hall, Englewood Cliffs (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Huang, TC., Shiu, LC., Chen, YF. (2004). A Power-Based Clustering Algorithm for Wireless Ad-Hoc Networks. In: Yang, L.T., Guo, M., Gao, G.R., Jha, N.K. (eds) Embedded and Ubiquitous Computing. EUC 2004. Lecture Notes in Computer Science, vol 3207. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30121-9_56
Download citation
DOI: https://doi.org/10.1007/978-3-540-30121-9_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22906-3
Online ISBN: 978-3-540-30121-9
eBook Packages: Springer Book Archive