A Novel Energy-Aware Design for Clustered Wireless Sensor Networks

  • Sohail Jabbar
  • Mudassar AhmadEmail author
  • Abid Ali Minhas
  • Syed Hassan Ahmad
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)


In this paper, we have presented a comprehensive study on designing an aware energy architecture of clustered wireless sensor networks. In continuation to it, we have also analysed our proposed scheme, extended-multilayer cluster designing algorithm (E-MCDA), in a large network. Our novel layer-based hybrid algorithms for cluster head and cluster member selection come up to novel communication architecture. Among its components, algorithms for time slot allocation, minimization of CH competition candidates and cluster member selection to CH play underpinning roles to achieve the target. These incorporations in MCDA result in minimizing transmissions, suppressing the unneeded response of transmissions and near-equal size and equal load clusters. We have done extensive simulations in NS2 and evaluated the performance of E-MCDA. It is found that the proposed mechanism optimistically outperforms the competition with MCDA and EADUC.


Wireless sensor network Clustered network Multilayer network design Cluster head selection Cluster head rotation 


  1. 1.
    Jabbar, S., Aziz, M. Z., Minhas, A. A., & Hussain, D. (2010). PTAL: Power tuning anchors localization algorithm for wireless ad-hoc micro sensors network. In The 7th IEEE International Conferences on Embedded Software and Systems. Bradford: IEEE.Google Scholar
  2. 2.
    Abid, A., Kachouri, A., & Mahfoudhi, A. (2017). Outlier detection for wireless sensor networks using density-based clustering approach. IET Wireless Sensor Systems, 7(4), 83–90.CrossRefGoogle Scholar
  3. 3.
    Hassan, N., Khan, N. M., Ahmed, G., & Ramer, R. (2013). Real-time gradient cost establishment (RT-GRACE) for an energy-aware routing in wireless sensor networks. In IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (pp. 54–59). Melbourne: IEEE.Google Scholar
  4. 4.
    Jabbar, S., Butt, A. E., Najm-us-Sehr, N., & Minhas, A. A. (2011). TLPER: Threshold based load balancing protocol for energy efficient routing in WSN. In The 13th International Conference on Advanced Communication Technology (ICACT’11). Seoul: IEEE.Google Scholar
  5. 5.
    Jan, M. A., Nanda, P., He, X., & Liu, R. P. (2014). PASCCC: Priority-based application-specific congestion control clustering protocol. Computer Networks, 02(02), 92–102.CrossRefGoogle Scholar
  6. 6.
    Jabbar, S., Minhas, A. A., Gohar, M., Paul, A., & Rho, A. S. (2015). E-MCDA: Extended-multilayer cluster designing algorithm for network lifetime improvement of homogenous wireless sensor networks. International Journal of Distributed Sensor Networks, 11(9), 902581.CrossRefGoogle Scholar
  7. 7.
    Jabbar, S., Minhas, A. A., Paul, A., & Rho, S. (2014). Multilayer cluster designing algorithm for network life time improvement of homogenous wireless sensor networks. Journal of Supercomputing, 70(1), 104–132.CrossRefGoogle Scholar
  8. 8.
    Yang, P.-T., & Lee, S. (2012). A distributed reclustering hierarchy routing protocol using socialwelfare in wireless sensor networks. International Journal of Distributed Sensor Networks, 8(4), 681026.CrossRefGoogle Scholar
  9. 9.
    Li, C., Ye, M., Chen, G., & Wu, J. (2005). An energy-efficient unequal clustering mechanism for wireless sensor networks. In IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005. Washington: IEEE.Google Scholar
  10. 10.
    Yu, J., Qi, Y., Wang, G., Guo, Q., & Gu, X. (2011). An energy-aware distributed unequal clustering protocol for wireless sensor networks. International Journal of Distributed Sensor Networks, 7(1), 202145.CrossRefGoogle Scholar
  11. 11.
    Naeem, M. K., Patwary, M., & Abdel-Maguid, M. (2017). Universal and dynamic clustering scheme for energy constrained cooperative wireless sensor networks. IEEE Access, 5, 12318–12337.CrossRefGoogle Scholar
  12. 12.
    Aslam, M., Shah, T., Javaid, N., Rahim, A., Rahman, Z., & Khan, Z. A. (2012). CEEC: Centralized energy efficient clustering a new routing protocol for WSNs. In Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2012 9th Annual IEEE Communications Society (pp. 103–105). Seoul: IEEE.Google Scholar
  13. 13.
    Chen, G., Li, C., Ye, M., & Wu, J. (2007). An unequal cluster-based routing protocol in wireless sensor networks. Wireless Networks, 15, 193–207.CrossRefGoogle Scholar
  14. 14.
    Lee, K., & Lee, H. (2012). A self-organized and smart-adaptive clustering and routing approach for wireless sensor networks. International Journal of Distributed Sensor Networks, 8(1), 156268.CrossRefGoogle Scholar
  15. 15.
    Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transaction on Wireless Communications, 1(4), 660–670.CrossRefGoogle Scholar
  16. 16.
    Said, B. A., Abdellah, E., Hssane, A. B., & Hasnaoui, M. L. (2010). Improved and balanced LEACH for heterogeneous wireless sensor networks. International Journal on Computer Science and Engineering, 2(8), 2633–2640. Retrieved from Scholar
  17. 17.
    Heinzelman, W., Chandrakasan, A., & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd International Conference on System Sciences. Hawaii: IEEE.Google Scholar
  18. 18.
    Handy, M. J., Haase, M., & Timmermann, D. (2002). Low energy adaptive clustering hierarchy with deterministic cluster-head selection. In 4th International Workshop on Mobile and Wireless Communications Network (pp. 368–372). IEEE.Google Scholar
  19. 19.
    Muruganathan, S. D., Ma, D. C., Bhasin, R., & Fapojuwo, A. (2005). A centralized energy-efficient routing protocol for wireless sensor networks. IEEE Radio Communications, 43(3), S8–S13.CrossRefGoogle Scholar
  20. 20.
    Fazlullah, K., Faisal, B., & Kenji, N. (2012). Dual head clustering scheme in wireless sensor networks. In IEEE International Conference om Emerging Technologies (ICET). 06 (pp. 1–5). Islamabad: IEEE.Google Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sohail Jabbar
    • 1
  • Mudassar Ahmad
    • 1
    Email author
  • Abid Ali Minhas
    • 2
  • Syed Hassan Ahmad
    • 3
  1. 1.Department of Computer ScienceNational Textile UniversityFaisalabadPakistan
  2. 2.College of Computer and Information Systems (CCIS)Al Yamamah UniversityRiyadhSaudi Arabia
  3. 3.Department of Computer ScienceGeorgia Southern UniversityStatesboroUSA

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