Skip to main content

Advertisement

SpringerLink
Log in

Reliable network lifetime and energy-aware routing protocol for wireless sensor network using hybrid particle swarm-flower pollination search algorithm

  • Original Research
  • Published:
Journal of Ambient Intelligence and Humanized Computing Aims and scope Submit manuscript

Abstract

In this paper, we propose a trusted cluster based energy and lifetime aware routing (TCELR) protocol for WSN using hybrid swarm swarm-differential search algorithm. In TCELR protocol, first, we introduce an enhanced leader particle swarm optimization (ELPSO) algorithm for cluster formation. Second, we illustrate the flower pollination (FP) algorithm to compute the trust degree of each client in the cluster. The highest trust node is considered as cluster head (CH) in the cluster and it is act as sink node of cluster members to perform intra cluster routing and Third, a group search optimizer with multiple producer (GSOMP) algorithm is used for inter cluster routing to forward sensed data between different clusters. The performance of the proposed TCELR protocol is analyzed and the results are compared with the existing state-of-art routing protocols in terms of throughput, packet delivery ratio, network lifetime are increased and packet loss rate, end to end delay, jitter are decreased.

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

Similar content being viewed by others

References

  • Ahmed RE (2015) A fault-tolerant, energy-efficient routing protocol for wireless sensor networks. In: International conference on information and communication technology research (ICTRC), p 175–178

  • Batra PK, Kant K (2016) LEACH-MAC: a new cluster head selection algorithm for wireless sensor networks. Wirel Netw 22(1):49–60

    Article  Google Scholar 

  • Beheshtiasl A, Ghaffari A (2019) Secure and trust-aware routing scheme in wireless sensor networks. Wirel Pers Commun 107(4):1799–1814

    Article  Google Scholar 

  • Bozorgi SM, Bidgoli AM (2018) HEEC: a hybrid unequal energy efficient clustering for wireless sensor networks. In: Wireless networks, p 1–22

  • Cerri D, Ghioni A (2008) Securing AODV: the A-SAODV secure routing prototype. IEEE Commun Mag 46(2):120–125

    Article  Google Scholar 

  • Chaudhari SS, Maurya S, Jain VK (2017) MAEER: mobility aware energy efficient routing protocol for internet of things. In: Proceedings of conference on information communication technology, p 1–6

  • Crosby G, Pissinou N, Makki K (2011) Location-aware, trust-based detection and isolation of compromised nodes in wireless sensor networks. Int J Netw Secur 12(2):107–117

    Google Scholar 

  • Ghaffari A (2014) An energy efficient routing protocol for wireless sensor networks using A-star algorithm. J Appl Res Technol 12(4):815–822

    Article  Google Scholar 

  • Gonizzi P, Monica R, Ferrari G (2013) Design and evaluation of a delay efficient RPL routing metric. In: Proceedings of 9th international wireless communications and mobile computing conference (IWCMC), p 1573–1577

  • Han G, Jiang J, Guizani M, Rodrigues JJPC (2016) Green routing protocols for wireless multimedia sensor networks. IEEE Wirel Commun 23(6):140–146

    Article  Google Scholar 

  • Harshavardhana TG, Vineeth BS, Anand SVR, Hegde M (2018) Power control and cross-layer design of RPL objective function for low power and lossy networks. In: Proceedings of 10th international conference on communication systems and networks (COMSNETS), Bengaluru, India, p 214–219

  • Hayes T, Ali FH (2016) Location aware sensor routing protocol for mobile wireless sensor networks. IET Wirel Sens Syst 6(2):49–57

    Article  Google Scholar 

  • Karp B, Kung HT (2000) GPSR: greedy perimeter stateless routing for wireless networks. In: Proceedings of the 6th annual international conference on mobile computing and networking (MobiCom'00), p 243–254

  • Khabiri M, Ghaffari A (2018) Energy-aware clustering-based routing in wireless sensor networks using cuckoo optimization algorithm. Wirel Pers Commun 98(3):2473–2495

    Article  Google Scholar 

  • Kumar A, Ovsthus K, Kristensen LM (2014) An industrial perspective on wireless sensor networks—a survey of requirements, protocols, and challenges. IEEE Commun Surveys Tuts 16(3):1391–1412

    Article  Google Scholar 

  • Lai X, Ji X, Zhou X, Chen L (2017) Energy efficient link-delay aware routing in wireless sensor networks. IEEE Sens J 18(2):837–848

    Article  Google Scholar 

  • Magno M, Boyle D, Brunelli D, Opovici EP, Benini L (2014) Ensuring survivability of resource-intensive sensor networks through ultra-low power overlays. IEEE Trans Ind Inf 10(2):946–956

    Article  Google Scholar 

  • Mittal N, Singh U, Sohi BS (2017) A stable energy efficient clustering protocol for wireless sensor networks. Wirel Netw 23(6):1809–1821

    Article  Google Scholar 

  • Ng KP, Tsimenidis C (2014) Energy-balanced dynamic source routing protocol for wireless sensor network. In: Proceedings of IEEE conference on wireless sensor (ICWISE), p 36–41

  • Pal V, Singh G, Yadav RP (2015) Balanced cluster size solution to extend lifetime of wireless sensor networks. IEEE Internet Things J 2(5):399–401

    Article  Google Scholar 

  • Qin X, Wang X, Ouyang F, Wang T, Gan X, Tian X (2016) A dynamic unequal energy efficient clustering in wireless sensor network. In: 8th International conference on wireless communications and signal processing, Oct. 2016, p 1–5

  • Rukpakavong W, Phillips I, Guan L, Oikonomou G (2012) RPL router discovery for supporting energy-efficient transmission in single hop 6LoWPAN. In: IEEE International conference on communications (ICC), p 5721–5725.

  • Sharma S, Puthal D, Tazeen S, Prasad M, Zomaya AY (2017) MSGR: a mode-switched grid-based sustainable routing protocol for wireless sensor networks. IEEE Access 5:19864–19875

    Article  Google Scholar 

  • Tabibi S, Ghaffari A (2019) Energy-efficient routing mechanism for mobile sink in wireless sensor networks using particle swarm optimization algorithm. Wirel Pers Commun 104(1):199–216

    Article  Google Scholar 

  • Tomar MS, Shukla PK (2019) Energy efficient gravitational search algorithm and fuzzy based clustering with hop count based routing for wireless sensor network. Multimed Tools Appl 78(19):27849–27870

    Article  Google Scholar 

  • Wang Z, Zhang L, Zheng Z, Wang J (2016) An optimized RPL protocol for wireless sensor networks. In: Proceedings of international conference on cloud computing and security, Cham, Switzerland, Springer, p 422–429

  • Yan J, Zhou M, Ding Z (2016) Recent advances in energy-efficient routing protocols for wireless sensor networks: a review. IEEE Access 4:5673–5686

    Article  Google Scholar 

  • Yu Y, Li K, Zhou W, Li P (2012) Trust mechanisms in wireless sensor networks: attack analysis and countermeasures. J Netw Comput Appl 35(3):867–880

    Article  Google Scholar 

  • Zahariadis T, Leligou P, Karkazis P, Trakadas P, Papaefstathiou I, Vangelatos C, Besson L (2010) Design and implementation of a trust-aware routing protocol for large WSNs. Int J Netw Secur Its Appl 2(3):52–68

    Google Scholar 

  • Zapata MG, Asokan N (2002) Securing ad hoc routing protocols. In: Proceedings of the 1st ACM workshop on wireless security, p 1–10.

  • Zhang C, Zhu X, Song Y, Fang Y (2010) A formal study of trust-based routing in wireless ad hoc networks. In: Proceedings of the IEEE international conference on computer communications (INFOCOM'10), p 1–9.

  • Zhao M, Ho IWH, Chong PHJ (2016) An energy-efficient region based RPL routing protocol for low-power and lossy networks. IEEE Internet Things J 3(6):1319–1333

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India

    G. Vasanthi

  2. Department of Electronics and Communication Engineering, KLEF University, Vijayawada, Andhra Pradesh, India

    N. Prabakaran

Authors
  1. G. Vasanthi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. N. Prabakaran
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to G. Vasanthi.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vasanthi, G., Prabakaran, N. Reliable network lifetime and energy-aware routing protocol for wireless sensor network using hybrid particle swarm-flower pollination search algorithm. J Ambient Intell Human Comput 14, 16183–16193 (2023). https://doi.org/10.1007/s12652-022-03840-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12652-022-03840-x

Keywords

Search

Navigation