Abstract
Due to the limited resources of most wireless ad hoc and sensor networks, minimizing the cost of commonly used broadcasts is of utmost importance. This has led to work in the minimum energy broadcasting problem. Most solutions require global topology knowledge, however, this information is typically not available in ad hoc applications. Decentralized approaches have been unable to match the energy efficiency of centralized methods. Previous approaches have also relied upon locality information to estimate link cost, which is unreliable. In this paper, we will describe a new distributed approach to the minimum energy broadcasting problem which targets multi-packet broadcast sessions. It constructs a broadcast tree in a distributed fashion using link quality measurements to more accurately estimate link cost. We show by simulation, and confirm through experimentation, that our protocol is capable of constructing a tree that is near to centralized approaches in energy cost.
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
Liang, W.: Constructing minimum-energy broadcast trees in wireless ad hoc networks. In: Proceedings of the 3rd International Symposium on Mobile Ad Hoc Networking and Computing, pp. 112–122. ACM, New York (2002)
Zagalj, M., Hubaux, J.P., Enz, C.C.: Minimum-energy broadcast in all-wireless networks: Np-completeness and distribution issues. In: Proceedings of the 8th Annual International Conference on Mobile Computing and Networking (2002)
Wieselthier, J.E., Nguyen, G.D., Ephremides, A.: On the construction of energy-efficient broadcast and multicast trees in wireless networks. In: INFOCOM (2000)
Cheng, M.X., Sun, J., Min, M., Du, D.Z.: Energy-efficient broadcast and multicast routing in ad hoc wireless networks. In: Proceedings of IPCCC, pp. 87–94 (2003)
Wieselthier, J., Nguyen, G., Ephremides, A.: Distributed algorithms for energy-efficient broadcasting in ad hoc networks. In: Proceedings of MILCOM (2002)
Ingelrest, F., Simplot-Ryl, D.: Localized broadcast incremental power protocol for wireless ad hoc networks. In: Proceedings of the 10th IEEE Symposium on Computers and Communications, pp. 28–33. IEEE Computer Society, Los Alamitos (2005)
Souryal, M., Klein-Berndt, L., Miller, L., Moayeri, N.: Link assessment in an indoor 802.11 network. In: Proceedings of the IEEE Wireless Communications and Networking Conference (2006)
Erdogan, S.Z., Hussain, S.: Using received signal strength variation for energy efficient data dissemination in wireless sensor networks. In: Wagner, R., Revell, N., Pernul, G. (eds.) DEXA 2007. LNCS, vol. 4653. Springer, Heidelberg (2007)
Cartigny, J., Simplot, D., Stojmenovic, I.: Localized minimum-energy broadcasting in ad-hoc networks. In: Proceedings of INFOCOM (2003)
Cartigny, J., Ingelrest, F., Simplot-Ryl, D., Stojmenovic, I.: Localized lmst and rng based minimum-energy broadcast protocols in ad hoc networks. Ad Hoc Networks 3(1), 1–16 (2005)
Toussaint, G.T.: The relative neighbourhood graph of a finite planar set. Pattern Recognition 12(4), 261–268 (1980)
Li, N., Hou, J., Sha, L.: Design and analysis of an mst-based topology control algorithm. IEEE Transactions on Wireless Communications 4(3), 1195–1206 (2005)
Ingelrest, F., Simplot-Ryl, D., Stojmenovic, I.: Target transmission radius over lmst for energy-efficient broadcast protocol in ad hoc networks. In: Proceedings of the IEEE International Conference on Communications (June 2004)
Cheng, M.X., Sun, J., Min, M., Li, Y., Wu, W.: Energy-efficient broadcast and multicast routing in multihop ad hoc wireless networks. Wireless Communications and Mobile Computing 6, 213–223 (2006)
Wan, P.J., Calinescu, G., Li, X., Frieder, O.: Minimum-energy broadcast routing in static ad hoc wireless networks. In: Proceedings of INFOCOM, pp. 1162–1171 (2001)
Wieselthier, J., Nguyen, G., Ephremides, A.: The energy efficiency of distributed algorithms for broadcasting in ad hoc networks. In: Proceedings of the 5th International Symposium on Wireless Personal Multimedia Communications (2002)
Srinivasan, K., Levis, P.: Rssi is under appreciated. In: Proceedings of the 3rd Workshop on Embedded Networked Sensors (May 2006)
Reis, C., Mahajan, R., Rodrig, M., Wetherall, D., Zahorjan, J.: Measurement-based models of delivery and interference in static wireless networks. In: Proceedings of the Special Interest Group on Data Communication, pp. 51–62. ACM, New York (2006)
Barr, R., Haas, Z.: Jist - java in simulation time / swans - scalable wireless ad hoc network simulator (April 2004), http://jist.ece.cornell.edu
Barr, R., Haas, Z.J., van Renesse, R.: Jist: an efficient approach to simulation using virtual machines. Software - Practice and Experience 35(6), 539–576 (2005)
Crossbow Technology: Low-power wireless mote solutions overview (2009), http://www.xbow.com/Products/wproductsoverview.aspx
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Miller, C., Poellabauer, C. (2009). A Decentralized Approach to Minimum-Energy Broadcasting in Static Ad Hoc Networks. In: Ruiz, P.M., Garcia-Luna-Aceves, J.J. (eds) Ad-Hoc, Mobile and Wireless Networks. ADHOC-NOW 2009. Lecture Notes in Computer Science, vol 5793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04383-3_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-04383-3_22
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04382-6
Online ISBN: 978-3-642-04383-3
eBook Packages: Computer ScienceComputer Science (R0)