Abstract
In this paper, we propose a static scheduling algorithm for assigning tasks with precedence constraints onto a cluster of heterogeneous sensor nodes connected by a single-hop wireless network so as to maximize the lifetime of the sensor network. The processing element on each sensor node is equipped with dynamic voltage scaling capability. In our algorithm, we assign the tasks to the sensor nodes so as to minimize the energy consumption of the tasks on each sensor node while keeping the energy consumption as balanced as possible. We also propose an algorithm to generate a second schedule that can improve the lifetime of the network further when it is used together with the original schedule. We observe up to 311% lifetime improvement in our simulations when our algorithms are compared to the baseline case where dynamic voltage scaling is not used.
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
Baskiyar, S., Palli, K.K.: Low Power Scheduling of DAGs to Minimize Finish Times. In: Robert, Y., Parashar, M., Badrinath, R., Prasanna, V.K. (eds.) HiPC 2006. LNCS, vol. 4297, pp. 353–362. Springer, Heidelberg (2006)
Yu, Y., Prasanna, V.K.: Energy-Balanced Task Allocation for Parallel Processing in Wireless Sensor Networks. Mobile Networks and Applications 10, 115–131 (2005)
Han, J.-J., Li, Q.-H.: Dynamic Power-Aware Scheduling Algorithms for Real-Time Task Sets with Fault-Tolerance in Parallel and Distributed Computing Environment. In: Proceedings of 19th International Parallel and Distributed Processing Symposium (April 2005)
AlEnawy, T.A., Aydin, H.: Energy-Aware Task Allocation for Rate Monotonic Scheduling. In: Proceedings of 11th IEEE Real-Time and Embedded Technology and Applications Symposium, March 2005, pp. 213–223 (2005)
Gorji-Ara, B., Chou, P., Bagherzadeh, N., Reshadi, M., Jensen, D.: Fast and Efficient Voltage Scheduling by Evolutionary Slack Distribution. In: Proceedings of Asia and South Pacific Design Automation Conference, January 2004, pp. 659–662 (2004)
Zhu, D., Melhem, R.G., Childers, B.R.: Scheduling with Dynamic Voltage/Speed Adjustment Using Slack Reclamation in Multiprocessor Real-Time Systems. IEEE Trans. Parallel and Distributed Systems 14(7), 686–700 (2003)
Aydin, H., Yang, Q.: Energy-Aware Partitioning for Multiprocessor Real-Time Systems. In: Proceedings of 17th International Parallel and Distributed Processing Symposium (April 2003)
Mishra, R., Rastogi, N., Zhu, D., Mossé, D., Melhem, R.G.: Energy Aware Scheduling for Distributed Real-Time Systems. In: Proceedings of 17th International Parallel and Distributed Processing Symposium (April 2003)
Yu, Y., Prasanna, V.K.: Power-Aware Resource Allocation for Independent Tasks in Heterogeneous Real-Time Systems. In: Proceedings of 9th International Conference on Parallel and Distributed Systems, December 2002, pp. 341–348 (2002)
Zhu, D., AbouGhazaleh, N., Mossé, D., Melhem, R.G.: Power Aware Scheduling for AND/OR Graphs in Multi-Processor Real-Time Systems. In: Proceedings of 31st International Conference on Parallel Processing, August 2002, pp. 593–601 (2002)
Schmitz, M.T., Al-Hashimi, B.M., Eles, P.: Energy-Efficient Mapping and Scheduling for DVS Enabled Distributed Embedded Systems. In: Proceedings of 2002 Design, Automation and Test in Europe Conference and Exposition, March 2002, pp. 514–521 (2002)
Schmitz, M.T., Al-Hashimi, B.M.: Considering Power Variations of DVS Processing Elements for Energy Minimisation in Distributed Systems. In: Proceedings of International Symposium on Systems Synthesis, October 2001, pp. 250–255 (2001)
Gruian, F., Kuchcinski, K.: LEneS: Task Scheduling for Low-Energy Systems Using Variable Supply Voltage Processors. In: Proceedings of Asia and South Pacific Design Automation Conference, January 2001, pp. 449–455 (2001)
Schurgers, C., Aberthorne, O., Srivastava, M.B.: Modulation Scaling for Energy-aware Communication Systems. In: Proceedings of International Symposium on Low Power Electronics and Design, pp. 96–99 (2001)
Luo, J., Jha, N.K.: Power-conscious Joint Scheduling of Periodic Task Graphs and Aperiodic Tasks in Distributed Real-time Embedded Systems. In: Proceedings of International Conference on Computer-Aided Design, November 2000, pp. 357–364 (2000)
Dick, R.P., Rhodes, D.L., Wolf, W.: TGFF: Task Graphs for Free. In: Proceedings of 6th International Workshop on Hardware/Software Codesign, March 1998, pp. 97–101 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Goh, L.K., Veeravalli, B. (2008). An Energy-Balanced Task Scheduling Heuristic for Heterogeneous Wireless Sensor Networks. In: Sadayappan, P., Parashar, M., Badrinath, R., Prasanna, V.K. (eds) High Performance Computing - HiPC 2008. HiPC 2008. Lecture Notes in Computer Science, vol 5374. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89894-8_25
Download citation
DOI: https://doi.org/10.1007/978-3-540-89894-8_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89893-1
Online ISBN: 978-3-540-89894-8
eBook Packages: Computer ScienceComputer Science (R0)