Skip to main content

RAM: Rotating Angle Method of Clustering for Heterogeneous-Aware Wireless Sensor Networks

  • Conference paper
  • First Online:
Smart Trends in Computing and Communications

Abstract

Advances of research in the wireless network of few hundreds of tiny sensor nodes empower human to get more precise information about the environment of harsh and un-attendant area from remote location. We are extending such valuable efforts and presenting a new approach to form and manage functioning of wireless sensor network (WSN), by dividing network into number of clusters. To divide the whole WSN into the geographically equal size of clusters, we use “Rotating Angle Method” algorithm. We have also simulated as well as implemented this algorithm and we have compared the resultant information with many other clustering-based energy-efficient WSN algorithms, which shows this algorithm enhancing the lifetime and stability period of WSN.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Akkaya, K., Younis, M.: A survey on routing protocols for wireless sensor networks, 3, 325–349 (2005)

    Google Scholar 

  2. Shepard, T.: A channel access scheme for large dense packet radio networks. In: Proceedings of the ACM SIGGCOMM, pp. 219–230

    Article  Google Scholar 

  3. Jafri, M.R., Javaid, N., Javaid, A., Khan, Z.A.: Maximizing the lifetime of multi-chain PEGASIS using sink mobility. World Appl. Sci. J. 21, 1283–1289 (2013)

    Google Scholar 

  4. Heinzelman, W.R., et al.: Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Annual Hawaii International Conference on Systems Sciences 00, 3005–3014 (2000)

    Google Scholar 

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

    Article  Google Scholar 

  6. Smaragdakis, G., Matta, I., Bestavros, A.: SEP: a stable election protocol for clustered heterogeneous wireless sensor networks. Second Int. Work. Sens. Actor Netw. Protoc. Appl. (SANPA 2004), 1–11 (2004)

    Google Scholar 

  7. Kumar, S., Kant, S., Awadhesh, V.: Enhanced threshold sensitive stable election protocol for heterogeneous wireless sensor network. Wirel. Pers. Commun. (2015). https://doi.org/10.1007/s11277-015-2925-x

    Article  Google Scholar 

  8. Brand, H., Rego, S., Cardoso, R., Jr, J.C.: MH-LEACH: a distributed algorithm for multi-hop communication in wireless sensor networks, 55–61 (2014)

    Google Scholar 

  9. Arumugam, G.S., Ponnuchamy, T.: EE-LEACH: development of energy-efficient LEACH Protocol for data gathering in WSN. EURASIP J. Wirel. Commun. Netw. 2015 (2015)

    Google Scholar 

  10. Amuthan, A., Arulmurugan, A.: Semi-Markov inspired hybrid trust prediction scheme for prolonging lifetime through reliable cluster head selection in WSNs. J. King Saud Univ. Comput. Inf. Sci. (2018). https://doi.org/10.1016/j.jksuci.2018.07.006

  11. Raval, K.R., Modi, N.: MSECHP: more stable election of cluster head protocol for heterogeneous wireless sensor network. Adv. Intell. Syst. Comput. 508 (2017)

    Google Scholar 

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

    Article  Google Scholar 

  13. Khan, Y., et al.: LPCH and UDLPCH: location-aware routing techniques in WSNs. Proceedings of the—2013 8th International Conference on Broadband, Wireless Computing, Communication and Application BWCCA 2013, pp. 100–105 (2013). https://doi.org/10.1109/bwcca.2013.25

  14. Butun, I., Ra, I., Sankar, R. PCAC: Power and connectivity-aware clustering for wireless sensor networks. EURASIP J. Wirel. Commun. Netw, 2015 (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kameshkumar R. Raval .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Raval, K.R., Modi, N. (2020). RAM: Rotating Angle Method of Clustering for Heterogeneous-Aware Wireless Sensor Networks. In: Zhang, YD., Mandal, J., So-In, C., Thakur, N. (eds) Smart Trends in Computing and Communications. Smart Innovation, Systems and Technologies, vol 165. Springer, Singapore. https://doi.org/10.1007/978-981-15-0077-0_28

Download citation

Publish with us

Policies and ethics