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A HSEERP—Hierarchical secured energy efficient routing protocol for wireless sensor networks

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Abstract

Wireless Sensor networks are capable of creating any dynamic s–hort-term network with a group of sensor nodes without any previous centralized or infrastructure administration. Each node in the network has only alimited range of wireless transmission, and so it is essential fora node to transmit data with the help of further nodes in the set of connections to its destination,generally the base station. The major problems perceived while designing the routing protocol in sensor networks, relates to the construction of an effect utilization device of the harshly restricted resources present in the network, especially the limited energy. The important factor to be considered in WSN from investigator relates to securing energy efficiency for useto the extent achievable. Existing routing protocol highlights only the extension of the duration of the network or just focusing protection mechanism with overwhelming large amountof energy. This paper introduces HSEERP (Hierarchical Secure and Energy EfficientRouting Protocol) forrouting protocol. It selects a best path among two nodes, to enable extension of the derivation of the chosen path of the network. It is also adequately resistive to a fewparticularthreats that comprise the attributes of getting entire traffic through the malicious nodes by advertising a gorgeous way to the destination. The implementation of present protocol was evaluatedand theresults showed the superiority of this proposed protocol to theprevious protocol techniques in terms of throughput 94%, energy efficiency 95%, malicious node detection 94%, time complexity is 64 ms, routing overhead is 31.3% and packet delivery ratio 95%for getting satisfactory duration of the network.

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Data availability and statement

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. de Fuentes JM, Gonzalez Manzano L, Mirzaei O (2016) Privacy Models in Wireless sensor networks: A Survey. J Sens 10(1155):1–18

    Article  Google Scholar 

  2. Yang Q, Zhu X, Hongjuan Fu, Che X (2015) Survey on Security Technologies on Wireless Sensor network. J Sens 10(1055):1–9

    Google Scholar 

  3. Sarkar A, Murugan TS (2016) Routing Protocols for Wireless Sensor Networks: What the Literature Survey. Alexandria Eng J 55(4):3173–3183

  4. Sajwan M, Gosain D, Sharma AK (2018) Hybrid Energy-efficient multi-path routing for wireless sensor networks. Comput Electr Eng 67(1):96–113

    Article  Google Scholar 

  5. Bok K, Lee Y, Park J, Yoo J (2016) An Energy Efficient Secure Scheme in Wireless Sensor Networks 10(1155):1–11

  6. Zaib ullah, (2020) A Survey on Hybrid, Energy Efficient and Distributed (HEED) Based Energy Efficient Clustering Protocols for Wireless Sensor Networks. Wirel Pers Commun 112(2):2685–2713

    Article  Google Scholar 

  7. Zhang J, Feng X, Liu Z (2018) A grid-based clustering algorithm via load analysis for industrial internet of things. IEEE Access 6:13117–13128

    Article  Google Scholar 

  8. Essa A, Al-Dubai AY, Romdhani I, Eshaftri MA (2017) A new dynamic weight-based energy efficient algorithm for sensor networks. Smart grid inspired future technologies 10(100):195–203

    Article  Google Scholar 

  9. Tang M, Lin X, Palesi M (2015) Routing pressure: A channel-related and traffic-aware metric of routing algorithm. IEEE Trans Parallel Distrib Syst 26(3):891–901

    Article  Google Scholar 

  10. Sharma A et al (2023) MHSEER: A Meta Heuristic Secure and Energy Efficient Routing Protocol for Wireless Sensor Networks-Based Industrial IOT. Energies 16(10):1–10

    Article  Google Scholar 

  11. Balachandra M, Prema KV, Makkithaya K (2014) Multiconstrained and multipath QoS aware routing protocol for MANETs. Wireless Netw 20(8):2395–2408

    Article  Google Scholar 

  12. Asif M, Khan S, Ahmad R, Sohail M, Singh D (2017) Quality of Service of Routing Protocols in Wireless Sensor Networks: A Review. IEEE Access 5(3):1846–1871

    Article  Google Scholar 

  13. Ghosal A, Halder S (2013) Intrusion detection in wireless sensor networks: Issues, challenges and approaches. In: Wireless Networks and Security. Signal Commun Technol 329–367

  14. Troja S, Alvizu R, Maieur G (2019) Reinforcement learning for service function chain reconfiguration in NFV- SDN metro core optical networks. IEEE Access 7(2019):167944–167957

    Google Scholar 

  15. Safaa SS, Mabrouk TF, Tarabishi RA (2021) An improved Energy-efficient head election protocol for clustering techniques of wireless sensor network. Egypt Inform J 22(4):439–445

  16. Gopi Saminathan Arumugam and Thirumurugam Ponnuchamy (2015) EE-LEACH: Development of energy-efficient LEACH Protocol for data gathering in WSN. EURASIP J Wirel Commun Netw 10(1186):1–9

    Google Scholar 

  17. D Guo, L Xu (2013) LEACH Clustering Routing Protocol for WSN. Int Conf Info Eng Appl (IEA) 2012. 219(Springer, London, 2013)153–160

  18. Jaiswal K, Anand V (2021) A Grey-Wolf based Optimized Clustering approach to improve QOS in Wireless Sensor networks for IoT applications. Peer Peer Netw Appl (14)1943–1962

  19. Han K, Luo J, Liu Y, Vasilakos AV (2013) Algorithm design for data communications in duty- cycled wireless sensor networks: a survey. IEEE Commun Mag 51:107–113

    Article  Google Scholar 

  20. Farahzadi HR, Langarizadeh M, Mirhosseini M, Aghda SAF (2021) An improved Cluster information Process in wireless sensor networks to decrease energy consumption. Wireless Netw 27:1077–1087

    Article  Google Scholar 

  21. HarneetKour and Ajay K. Sharma, (2010) Hybrid Energy Efficient Distributed Protocol for Heterogeneous Wireless Sensor Network. Int J Comput Appl 4(6):1–5

    Article  Google Scholar 

  22. Ullah Z (2020) A Survey on Hybrid, Energy Efficient and Distributed (HEED) Based EnergyEfficient Clustering Protocols for Wireless Sensor Networks. Wirel Pers Commun 112(5):2685–2713

    Article  Google Scholar 

  23. Sharma N, Nayyar A (2014) A comprehensive review of cluster based energy efficient routing protocols for wireless sensor networks. Int J Appl Innov Eng Manag 3(1):441–453

    Google Scholar 

  24. Yassen MB, Aljawaerneh S, Abdulraziq R (2016) Secure low energy adaptive clustering hierarchal based on internet of things for wireless sensor network (WSN): Survey. Int Conf Eng MIS (ICEMIS):1–9

  25. Mardini W, Yassein MB, Khamayseh Y, Ghaleb BA (2014) Rotated hybrid, energy-efficient and distributed (R-HEED) clustering protocol in WSN. WSEAS Trans Commun 13:275–290

    Google Scholar 

  26. Chand S, Singh S, Kumar B (2014) Heterogeneous HEED protocol for wireless sensor networks. Wireless Pers Commun 77(3):2117–2139

    Article  Google Scholar 

  27. Azizi T, Beghdad R (2016) Increasing Qos Parameters in WSNs through Spiran-Based Clustered Architecture. Int Conf Ambient Sys Netw Tech (ANT 2016) 83:401–408

  28. Laranjeira LA, Rodrigues GN (2014) Border effect analysis for reliability assurance and continuous connectivity of wireless sensor networks in the presence of sensor failures. IEEE Trans Wireless Commun 13(8):4232–4246

    Article  Google Scholar 

  29. Patwant Singh and Satbir singh (2015) Power Efficient Gathering in Sensor Information Systems Based on Ant Colony Optimization (ACO) in WSN”. Int J Eng Res Tech 4(6):948–951

    Google Scholar 

  30. Zhang H, Li Z, Shu W, Chou J (2019) Ant colony optimization algorithm based on mobile sink data collection in industrial wireless sensor networks. Eurasip J Wirel Commun Netw 10(1186):1–12

    Google Scholar 

  31. Vazhuthi PP, Prasanth A, Manikandan SP, Sowhdaryaan D (2022) A hybrid ANFIS reptile optimization algorithm for energy efficient inter-clustering routing in internet of things – enabled wireless sensor networks. Peer Peer Netw Appl 16(10):1049–1068

  32. Tanmoy Maitra and Subhabrata Barman and Debasis Giri (2018) Cluster –Based Energy-Efficient Secure Routing in Wireless Sensor Networks. Int Conf Info Tech Appl Math 699:23–40

    Google Scholar 

  33. Varun R, Gangwar RC (2019) Hierarchical Energy Efficiency Routing in wireless Sensor Networks and its challenges. Int J Eng Adv Tech 9(1):4024–4027

    Article  Google Scholar 

  34. Hamzah A, Shurman M, Al-Jarrah O, Taqieddin E (2019) Energy-efficient fuzzy-logic-based clustering technique for hierarchical routing protocols in wireless sensor networks. Sensors 19(3):1–23

    Article  Google Scholar 

  35. Fang W, Zhang W, Yang W, Li Z, Gao W, Yang Y (2021) Trust management-based and energy efficient hierarchical routing protocol in wireless sensor networks. Digit Commun Netw 7(4):470–478

    Article  Google Scholar 

  36. Mann PS, Singh S (2017) Energy-efficient hierarchical routing for wireless sensor networks: a swarm intelligence approach. Wireless Pers Commun 92(2):785–805

    Article  Google Scholar 

  37. Khan MK, Shiraz M, Shaheen Q, Butt SA, Akhtar R, Khan MA, Changda W (2021) Hierarchical routing protocols for wireless sensor networks: functional and performance analysis. J Sens 10(1155):1–18

    CAS  Google Scholar 

  38. Chaurasia S, Kumar K (2023) ACRA, Adaptive meta-heuristic based clustering and routing algorithm for IOT-assisted wireless sensor networks. Peer Peer Netw Appl 10(1007):1–16

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All authors made an equal contribution to the development of the paper. All authors read and approved the final manuscript.

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Correspondence to Udaya Suriya Rajkumar D.

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D, U.S.R., P, S., Arunkumar, K. et al. A HSEERP—Hierarchical secured energy efficient routing protocol for wireless sensor networks. Peer-to-Peer Netw. Appl. 17, 163–175 (2024). https://doi.org/10.1007/s12083-023-01575-w

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