Skip to main content

Optimizing Energy Consumption with Delay Constraint in Wireless Sensor Networks

  • Conference paper
  • First Online:
Nature of Computation and Communication (ICTCC 2016)

Abstract

Many existing energy efficiency protocols are proposed to address energy optimization for wireless sensor networks. However, most of them have weaken to take into account the factor of end-to-end delay. This paper investigates to find the best trade-off between two objectives: minimizing the energy consumption and end-to-end delay in wireless sensor network. We first propose a new energy-cost function for the inter-cluster routing algorithm. Next, we provide a k-least routes algorithm which is used to disseminate sensing data from clusterheads to sink with minimum energy consumption subject to an end-to-end delay constraint. We evaluate the effectiveness of the energy balance between cost functions by simulation. In addtion, the extended simulations show that our proposal performs much better than similar protocols in terms of energy consumption and end-to-end delay.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Oh, H., Chae, K.: An energy-efficient sensor routing with low latency, scalability in wireless sensor networks. In: IEEE International Conference on Multimedia and Ubiquitous Engineering (2007)

    Google Scholar 

  2. Allirani, A., Suganthi, M.: An energy sorting protocol with reduced energy and latency for wireless sensor networks. In: IEEE International Conference on Advance Computing (2009)

    Google Scholar 

  3. Zhang, X., Zhang, L.: Optimizing energy-latency trade-off in wireless sensor networks with mobile element. In: IEEE 16th International Conference on Parallel and Distributed Systems (2010)

    Google Scholar 

  4. Boyinbode, O., et al.: A survey on clustering algorithms for wireless sensor networks. In: IEEE 13th International Conference on Network-Based Information Systems (2010)

    Google Scholar 

  5. Huynh, T.T., et al.: Delay-energy aware clustering multi-hop routing in wireless sensor networks. In: International Conference on Information Science and Applications 2016, Hochiminh, vol. 376, pp. 31–40 (2016)

    Google Scholar 

  6. Younis, O., Fahmy, S.: Heed: a hybrid, energy-efficient, distributed clustering approach for ad-hoc sensor networks. IEEE Trans. Mobile Comput. 3(4), 660–669 (2004)

    Article  Google Scholar 

  7. Akkaya, K., Younis, M.: Energy-aware routing of time-constrained traffic in wireless sensor networks. J. Commun. Syst., Special Issue Serv. Diff. QoS Ad Hoc Netw. 17(6), 663–687 (2004)

    Google Scholar 

  8. Li, Y., et al.: An energy efficient distributed algorithm for minimum latency aggregation scheduling in wireless sensor networks. In: IEEE 30th International Conference on Distributed Computing Systems (2010)

    Google Scholar 

  9. Huynh, T.T., et al.: Energy efficient delay-aware routing in multi-tier. In: The IEEE International Conference on Advanced Technologies for Communications, pp. 439–444 (2013)

    Google Scholar 

  10. Bai, S., et al.: DEAR: Delay-bounded Energy-constrained Adaptive Routing in wireless sensor networks. In: IEEE International Conference on Computer Communications (2012)

    Google Scholar 

  11. Wuyungerile, L., et al.: Tradeoff between delay and energy consumption of partial data aggregation in wireless sensor networks. In: The Fifth International Conference on Mobile Computing and Ubiquitous Networking (2010)

    Google Scholar 

  12. Ammari, H.M.: On the energy-delay trade-off in geographic forwarding in always-on wireless sensor networks: A multi-objective optimization problem. Comput. Netw. 57(9), 1913–1935 (2013)

    Article  Google Scholar 

  13. Heinzelman, W.B., et al.: An application specific protocol architecture for wireless sensor network. IEEE Trans. Wirel. Commun. 4, 660–670 (2002)

    Article  Google Scholar 

  14. Liu, A., et al.: Design principles and improvement of cost function based energy aware routing algorithms for wireless sensor networks. Elsevier Comput. Netw. 5(7), 1951–1967 (2012)

    Article  Google Scholar 

  15. Sedgewick, R.: Algorithms in C ++: Graph Algorithms, 3rd edn. Pearson Education (2002)

    Google Scholar 

  16. de Queiros Vieira Martins, E., et al.: The K shortest paths problem. CISUC, Research Report (1998)

    Google Scholar 

  17. Ok, C.-S., et al.: Distributed energy balanced routing for wireless sensor networks. Comput. Ind. Eng. 57(1), 125–135 (2009)

    Article  Google Scholar 

  18. Ettus, M.: System capacity, latency, and power consumption in multihop-routed SS-CDMA wireless networks. In: IEEE Radio and Wireless Conference, Colorado Springs, CO, pp. 55–58 (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Trong-Thua Huynh .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Huynh, TT., Giao, B.C., Tran, CH., Dinh-Duc, AV. (2016). Optimizing Energy Consumption with Delay Constraint in Wireless Sensor Networks. In: Vinh, P., Barolli, L. (eds) Nature of Computation and Communication. ICTCC 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 168. Springer, Cham. https://doi.org/10.1007/978-3-319-46909-6_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-46909-6_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46908-9

  • Online ISBN: 978-3-319-46909-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics