Cluster-Based Adaptive and Dynamic Routing Protocol to Enhance the Performance of Wireless Sensor Network

  • Sachin R. JainEmail author
  • Nileshsingh V. ThakurEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 797)


Generally, the wireless sensor networks (WSNs) are comprised of ecumenical wireless sensor nodes which are very small in size, limited onboard battery-powered, self-operated, cooperative, and autonomous in nature. The sensor nodes are deployed densely, in a spatially distributed manner in the application area. These nodes are used to sense desired data from the region of interest, and after that, it is processed and communicated to the base station (BS) directly or via some intermediate nodes, using a dedicated routing protocol. In many of the applications, the data to be sensed from the region of interest is very sensitive, crucial, time-bounded, and very important. In these applications, the routing protocols do the important job of communication of the sensed data from a node to the BS. It is very important to choose the most suitable and appropriate routing protocol, which is best and perfectly fits for a specific application. So, a more reliable, consistent, dependable approach that checks the availability of sensor nodes and uses the advantages of clustering approach is proposed which is more rigid, flexible, and improves the longevity and overall performance of the network. The analysis of proposed approach is also discussed with the existing routing protocol, LEACH.


Wireless sensor networks Static nodes Cluster-based Acknowledgment-based Adaptive Dynamic 


  1. 1.
    Goyal D, Tripathy MR (2012) Routing protocols in wireless sensor networks: a survey. In: 2nd International conference on advanced computing and communication technologies (ACCT), IEEE, pp 474–480Google Scholar
  2. 2.
    MBinh HTT, Hanh NT, Dey N (2016) Improved cuckoo search and chaotic flower pollination optimization algorithm for maximizing area coverage in wireless sensor networks. In: Neural computing and applications, pp 1–13Google Scholar
  3. 3.
    Mittal N, Singh U, Sohi BS (2017) A stable energy efficient clustering protocol for wireless sensor networks. Wirel Netw J Mobile Commun Comput Inf 23(6):1809–1821CrossRefGoogle Scholar
  4. 4.
    Dey N, Ashour AS, Shi F, Fong SJ, Sherratt, S (2017) Developing residential wireless sensor networks for ECG healthcare monitoring. IEEE Trans Consum Electron 63(4):442–449CrossRefGoogle Scholar
  5. 5.
    Robinson YH, Julie EG, Balaji S, Ayyasamy A (2017) Energy aware clustering scheme in wireless sensor network using neuro-fuzzy approach. Int J Wirel Pers Commun 95(2):703–721Google Scholar
  6. 6.
    Naranjo PGV, Shojafar M, Mostafaei H, Pooranian Z, Baccarelli E (2017) P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks. J Supercomputing 73(2):733–755CrossRefGoogle Scholar
  7. 7.
    Akkaya K, Younis M (2005) A survey on routing protocols for wireless sensor networks. Elsevier Ad Hoc Netw J 3(3):325–349CrossRefGoogle Scholar
  8. 8.
    Villalba LJG, Orozco ALS, Cabrera AT, Abbas CJB (2009) Routing protocols in wireless sensor networks. Sensors 9(11):8399–8421CrossRefGoogle Scholar
  9. 9.
    Ahmedy I, Ngadi MA, Omar S, Chaudhry J (2011) A review on wireless sensor networks routing protocol: challenge in energy perspective. Sci Res Essays 6(26):5628–5649Google Scholar
  10. 10.
    Akewar MC, Thakur NV (2012) A study of wireless mobile sensor network deployment. Int J Comput Netw Wirel Commun (IJCNWC) 2(4):533–541Google Scholar
  11. 11.
    Wajgi D, Thakur NV (2012) Load balancing based approach to improve lifetime of wireless sensor networks. Int J Wirel Mob Netw (IJWMN) 4(4):155–167CrossRefGoogle Scholar
  12. 12.
    Heinzelman W, Chandrakasan A, Balakrishnan H (2000) Energy–efficient communication protocol for wireless micro sensor networks. In: Proceedings of the 33rd annual Hawaii international conference on system sciences (HICSS), pp 3005–3014Google Scholar
  13. 13.
    Manjeswar A, Agrawal DP (2000) TEEN: a protocol for enhanced efficiency in wireless sensor networks. In: Proceedings of 1st international workshop on parallel and distributed computing issues in wireless networks and mobile computing, San Francisco, CA, USA, p 189Google Scholar
  14. 14.
    Bhattacharyya D, Kim T, Pal S (2010) A comparative study of wireless sensor networks and their routing protocols. Sensors 10(12):10506–10523CrossRefGoogle Scholar
  15. 15.
    Arora VK, Sharma V, Sachdeva M (2016) A survey on LEACH and other’s routing protocols in wireless sensor network. Int J Light Electron Opt 127(16):6590–6600 (Elsevier)Google Scholar
  16. 16.
    Awwad SAB, Ng CK, Noordin NK, Rasid MFA (2009) Cluster based routing protocol for mobile nodes in wireless sensor network. IEEE, pp 233–241Google Scholar
  17. 17.
    Arboleda LMC, Nasser N (2006) Cluster-based routing protocol for mobile sensor networks. In: Proceeding of the 3rd international conference on quality of service in heterogeneous wired/wireless networks, no 24. ACM, pp 474–480Google Scholar
  18. 18.
    Mahapatra RP, Yadav RK (2015) Descendant of LEACH based routing protocols in wireless sensor networks. Procedia Comput Sci 57:1005–1014 (ScienceDirect, Elsevier)CrossRefGoogle Scholar
  19. 19.
    Xu J, Jin N, Lou X, Peng T (2012) Improvement of LEACH protocol for WSN. IEEEGoogle Scholar
  20. 20.
    Fan X, Song Y (2007) Improvement on leach protocol of wireless sensor network. In: Proceedings of the international conference on sensor technologies and applications, pp 260–264Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Yeshwantrao Chavan College of EngineeringNagpurIndia
  2. 2.Nagpur Institute of TechnologyNagpurIndia

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