Abstract
In wireless sensor networks (WSNs), lifetime maximization is a critical issue because of the restricted power supply. Therefore, the objective of lifetime maximization is to save energy for each sensor node. However, the application performance depends strongly on the amount of data gathered from each source node in the network. Higher data rates causes greater sensing and communication costs resulting in a reduction of the overall network lifetime. There is thus an inherent trade-off in maximizing the network lifetime and the application performance. In this paper, we take both application performance and lifetime maximization into account, use a cross layer optimization framework and propose a distributed rate control algorithm. Our numerical result shows that our scheme can maximize the network lifetime and guarantee the application performance.
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
Chang, J., Tassiulas, L.: Maximum lifetime routing in wireless sensor networks. IEEE Transaction on Networking 12(4), 609–619 (2004)
Cardei, M., Du, D.: Improving wireless sensor network lifetime through power aware organization. ACM Wireless Networks 11(3), 333–340 (2005)
Xiao, L., Johnasson, M., Boyd, S.: Simultaneous routing and resource allocation via dual decompostion. IEEE Transaction on Communications 52(7), 1136–1144 (2004)
Chiang, M.: To layer or not to layer: Balancing transport and physical layers in wireless multihop networks. In: Proc. of IEEE INFOCOM 2004, Hong Kong (March 2004)
Low, S., Lapsley, D.: Optimization flow contorl-i: Basic algorithm and convergence. IEEE/ACM Transactions on Networking 7(6), 861–874 (1999)
Chiang, M., Low, S., Calderbank, A., Doyle, J.: Layering as optimization decomposition: Questions and answers. In: Proc. of IEEE Milcom 2006, Washington, DC, USA (October 2006)
Nama, H., Chiang, M., Mandayam, N.: Utility-lifetime trade-off in self-regulating wireless sensor networks: A cross-layer design approach. In: Proc. of IEEE ICC 2006, Istanbul, Turkey (June 2006)
Estrin, D.: Tutorial wireless sensor networks part iv: Sensor network protocols. In: Proc. of ACM MobiCom 2002, Atlanta, Georgia, USA (September 2002)
Kelly, F., Maulloo, A., Tan, D.: Rate control for communication networks: Shadow prices, proportional fairness ans stability. The Journal of the operational Research Society 49(3), 237–252 (1998)
Boyd, S., Vandenberghe, L.: Convex Optimization. Cambridge University Press, Cambridge (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yin, X., Zhou, X., Li, Z., Li, S. (2010). Cross-Layer Based Rate Control for Lifetime Maximization in Wireless Sensor Networks. In: Bellavista, P., Chang, RS., Chao, HC., Lin, SF., Sloot, P.M.A. (eds) Advances in Grid and Pervasive Computing. GPC 2010. Lecture Notes in Computer Science, vol 6104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13067-0_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-13067-0_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13066-3
Online ISBN: 978-3-642-13067-0
eBook Packages: Computer ScienceComputer Science (R0)