Skip to main content

Advertisement

SpringerLink
Log in

BECPA: Bandwidth Efficient Cluster Based Packet Aggregation in Wireless Sensor Network

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In recent years, energy consumption and data gathering is a foremost concern in many applications of wireless sensor networks (WSNs). The major issue in WSNs is effective utilization of the resource as energy and bandwidth with a large gathering of data from the monitoring and control applications. This paper proposes novel Bandwidth Efficient Cluster based Packet Aggregation algorithm for heterogeneous WSNs. It combines the idea of variable packet generation rate of each node with random data. The nodes are randomly distributed with different energy level and are equal in numbers. It uses the perfectly compressible aggregation function at cluster head based on the correlation of packets and data generated by each node. Compare to state-of-the-art solutions, the algorithm shows 4.43 % energy savings with reduced packet delivery ratio (62.62 %) at the sink. It shows better bandwidth utilization in packet aggregation than data aggregation.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Rajagopalan, R., & Varshney, P. K. (2006). Data-aggregation techniques in sensor networks: a survey. IEEE Communications Surveys & Tutorials, 8(4), 48–63.

    Article  Google Scholar 

  2. Krishnamachari, L., Estrin, D., & Wicker, S. (2002). The impact of data aggregation in wireless sensor networks. In Distributed computing systems workshops proceedings, pp. 575–578.

  3. Abbasi, A. A., & Younis, M. (2007). A survey on clustering algorithms for wireless sensor networks. Computer communications, network coverage and routing schemes for wireless sensor, networks, 30(14–15), 15 October 2007.

  4. Pawar, P. M., Nielsen, R. H., Prasad, N. R., Ohmori, S., & Prasad, R. (2012). GCF: Green conflict free TDMA scheduling for wireless sensor network. In 2012 IEEE international conference on communications (ICC), pp. 5726–5730. 10–15 June 2012.

  5. Mantri, D., Prasad, N. R., Prasad, R., & Ohmori, S. (2012). Two Tier Cluster based Data Aggregation (TTCDA) in wireless sensor network. 2012 IEEE international conference on advanced networks and telecommunications systems (IEEE ANTS 2012), pp. 117–122. Bangalore, India, 16–19 Dec. 2012.

  6. Bari, A., Jaekel, A., & Bandyopadhyay, S. (2008). Clustering strategies for improving the lifetime of two-tiered sensor networks. Elsevier, Computer Communication Journal, 3, 3451–3459.

    Article  Google Scholar 

  7. Jung, Woo-Sung, Lim, Keun-Woo, Ko, Young-Bae, & Park, Sang-Joon. (2011). Efficient clustering-based data aggregation in wireless sensor networks. Springer Journal on Wireless Networks, 17(5), 1387–1400.

    Article  Google Scholar 

  8. Mantri, D., Prasad, N. R., & Prasad, R. (2013). Grouping of clusters for efficient data aggregation (GCEDA) in wireless sensor network. 2013 IEEE 3rd international advanced computing conference (IACC-2013), pp. 132–137. Ghaziabad, India, 22–23 Feb. 2013.

  9. Kumar, D., Aseri, T. C., & Patel, R. B. (2011) EECDA: Energy efficient clustering and data aggregation protocol for heterogeneous wireless sensor networks.International Journal of Computers Communications & Control, 6(1), 113–124. ISSN 1841–9836.

    Google Scholar 

  10. Smaragdakis, G., Matta, I., & Bestavros, A. SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks. Computer science department, Boston University, Technical, Report BUCS-TR-2004-022.

  11. Mao, Y., Liu, Z., Zhang, L., & Li, X. (2009). An effective data gathering scheme in heterogeneous energy wireless sensor networks. In Proceedings of international conference on computational science and engineering, pp. 338–343.

  12. Gerald, W., Markus, A., & Torsten, B. (2008). MARWIS: A management architecture for heterogeneous wireless sensor networks. WWIC LNCS 5031 (pp. 177–188). Berlin Heidelberg: Springer.

    Google Scholar 

  13. Mantri, D., Prasad, N. R., & Prasad, R. (2013). MHBCDA: Mobility and heterogeneity aware bandwidth efficient cluster based data aggregation for wireless sensor network. 3rd international conference on wireless communications, vehicular technology, information theory and aerospace & electronics systems (VITAE), pp. 1–5. Atlantic City, NJ, 24–27 June. 2013.

  14. Manoj Kumar, S., & Rajkumar, N. (2013). SCT based adaptive data aggregation for wireless sensor networks. In Springer link, wireless personal communications, Oct 2013.

  15. Khan, M. I., Gansterer, W. N., & Haring, G. (2012). Static vs. mobile sink: The influence of basic parameters on energy efficiency in wireless sensor networks. Computer Communications. ISSN 0140–3664, 7 Nov 2012.

  16. Li, S., Da Xu, L., & Wang, X. (2013). Compressed sensing signal and data acquisition in wireless sensor networks and internet of things. IEEE Transactions on Industrial Informatics, 9(4), 2177–2186.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Center for TeleInFrastruktur, Aalborg University, Aalborg, Denmark

    Dnyaneshwar Mantri, Neeli Rashmi Prasad & Ramjee Prasad

Authors
  1. Dnyaneshwar Mantri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Neeli Rashmi Prasad
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ramjee Prasad
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dnyaneshwar Mantri.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mantri, D., Prasad, N.R. & Prasad, R. BECPA: Bandwidth Efficient Cluster Based Packet Aggregation in Wireless Sensor Network. Wireless Pers Commun 76, 335–349 (2014). https://doi.org/10.1007/s11277-014-1709-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-014-1709-z

Keywords

Search

Navigation