[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

Energy Efficient Routing Algorithm Using Software Defining Network for WSNs via Unequal Clustering

  • Conference paper
  • First Online:
Geo-Spatial Knowledge and Intelligence (GRMSE 2016)

Abstract

Clustering and multi-hop routing algorithms substantially prolong the lifetime of wireless sensor networks (WSNs). However, in multi-hop routing, the nodes near the sink are burdened with heavy relay traffic and tend to exhaust their energy very quickly. Thus, the energy hole arises. In this paper, we propose an SDN-based Unequal Clustering Routing (SDUCR) protocol for WSNs, which consists of a Centralized Unequal Clustering algorithm (CUCA) and a Connected Graph Based Minimum Energy Consumption (CGMEC) multi-hop routing algorithm. We use the centralized intelligence of Software Defined Network (SDN) to implement clustering and routing. Our CUCA is used to partition the network into clusters of unequal size based on residual energy and degree of sensor nodes. The CGMEC algorithm constructs a routing tree among cluster heads which ensures the connectivity among nodes and balances the communication cost of all nodes. Simulation results show that our SDUCR protocol balances the energy consumption among sensor nodes and achieves an obvious improvement on the network lifetime.

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

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 35.99
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 44.99
Price includes VAT (United Kingdom)
  • 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

Similar content being viewed by others

References

  1. AI Karaki, J.N., Kamal, A.E.: Routing techniques in wireless sensor networks: a survey. IEEE Wirel. Commun. 11(6), 6–28 (2004)

    Article  Google Scholar 

  2. Mhatre, V., Rosenberg, C.: Design guidelines for wireless sensor networks: communication, clustering and aggregation. Ad Hoc Netw. 2(1), 45–63 (2004)

    Article  Google Scholar 

  3. Singh, S.K., Singh, M.P., Singh, D.K.: A survey of energy-efficient hierarchical cluster-based routing in wireless sensor networks. Int. J. Adv. Netw. Appl. (IJANA) 2(2), 570–580 (2010)

    Google Scholar 

  4. Galluccio, L., Milardo, S., Morabito, G., Palazzo, S.: SDN-WISE: design, prototyping and experimentation of a stateful SDN solution for wireless sensor networks. In: IEEE Infocom 2015, April 2015

    Google Scholar 

  5. Costanzo, S., Galluccio, L., Morabito, G., Palazzo, S.: Software defined wireless networks: unbridling SDNs. In: 2012 European Workshop on Software Defined Networking (EWSDN). IEEE (2012)

    Google Scholar 

  6. Heinzelman, W.B., Chandrakasan, A., Balakrishnan, H.: An application-specific protocol architecture for wireless microsensor networks. IEEE Trans. Wirel. Commun. 1(4), 660–670 (2002)

    Article  Google Scholar 

  7. Younis, O., Fahmy, S.: HEED: a hybrid, energy-efficient distributed clustering approach for ad hoc sensor networks. IEEE Trans. Mob. Comput. 3(4), 366–379 (2004)

    Article  Google Scholar 

  8. Li, C.F., Chen, G.H., Ye, M., Wu, J.: An energy-efficient unequal clustering mechanism for wireless sensor networks. In: IEEE International Conference on Mobile Ad Hoc and Sensor Systems Conference, Washington, D.C., pp. 598–604 (2005)

    Google Scholar 

  9. Zhang, R., Ju, L., Jia, Z., Li, X.: Energy efficient routing algorithm for WSNs via unequal clustering. In: High Performance Computing and Communication, pp. 1226–1231 (2012)

    Google Scholar 

  10. Zheng, L., Jia, Z., Zhang, R., et al.: Context-aware routing algorithm for WSNs based on unequal clustering. In: 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 1307–1314. IEEE (2013)

    Google Scholar 

  11. Jia, F.-l., Li, F., Zhang, R.-h.: RSSI localization based on core in WSN. Comput. Eng. Appl. 44(30), 118–120 (2008)

    Google Scholar 

  12. Cionca, V., Newe, T., Dadarlat, V.: TDMA protocol requirements for wireless sensor networks. In: Proceedings of the IEEE Second International Conference on Sensor Technologies and Applications, pp. 30–35, August 2008

    Google Scholar 

Download references

Acknowledgments

This research is sponsored by the State Key Program of National Natural Science Foundation of China No. 61533011, Shandong Provincial Natural Science Foundation under Grant No. ZR2015FM001, the Fundamental Research Funds of Shandong University No. 2015JC030.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhiping Jia .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper

Yu, H., Jia, Z., Ju, L., Liu, C., Ding, X. (2017). Energy Efficient Routing Algorithm Using Software Defining Network for WSNs via Unequal Clustering. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-10-3969-0_18

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-3969-0_18

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3968-3

  • Online ISBN: 978-981-10-3969-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics