Skip to main content
Top
Published in: Wireless Personal Communications 4/2022

23-01-2022

IPRA: Iterative Parent-Based Routing Algorithm for Wireless Sensor Networks

Authors: Mohit Sajwan, Ajay K. Sharma, Karan Verma

Published in: Wireless Personal Communications | Issue 4/2022

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In a typical wireless sensor network, the primary constraint on wireless sensor networks (WSNs) is the sensor node’s irreplaceable power supply. Therefore, our primary goal is to extend the lifespan of the Wireless Sensor Network (WSN). As a result, we propose a novel energy-efficient routing protocol—addresses the most important issue for WSNs (i.e., network lifetime). The proposed iterative parent based routing algorithm (IPRA), commences with the cluster heads (CHs) selection, based on the maximum residual energy and considering the appropriate distance between any two CHs. Later, each CH creates some predefined specific levels in its cluster based on the distance between itself and its cluster members. Based on the levels formed, each node initiates the selection of parents by considering the closest node in the preceding level. Hence, recursively, every node transmits its sensed data to its parent, and finally, the data sensed by all the cluster members are aggregated at the CH, which in turn transmits it to the sink. We tested IPRA extensively and it has been shown through simulations that the algorithm outperforms the existing algorithm based on energy consumption, network lifetime, and scalability.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Footnotes
1
Field where sensor motes are deployed.
 
2
\(dist(3,4)>dist(3,5)\) and \(dist(2,4)>dist(2,5)\) as a result, parentnode(2, 3) must equal 5.
 
3
The node which is nearest against the sink (BS) is greater than \(d_0\) distance.
 
4
Nodes with a red dot on them are the ones that have died.
 
Literature
1.
go back to reference Akyildiz, I. F., Wang, X., & Wang, W. (2005). Wireless mesh networks: A survey. Computer Networks, 47(4), 445–487.CrossRef Akyildiz, I. F., Wang, X., & Wang, W. (2005). Wireless mesh networks: A survey. Computer Networks, 47(4), 445–487.CrossRef
2.
go back to reference Qu, Y., Ng, B., & Seah, W. (2016). A survey of routing and channel assignment in multi-channel multi-radio WMNs. Journal of Network and Computer Applications, 65, 120–130.CrossRef Qu, Y., Ng, B., & Seah, W. (2016). A survey of routing and channel assignment in multi-channel multi-radio WMNs. Journal of Network and Computer Applications, 65, 120–130.CrossRef
3.
go back to reference Medagliani, P., Leguay, J., Ferrari, G., Gay, V., & Lopez-Ramos, M. (2012). Energy-efficient mobile target detection in wireless sensor networks with random node deployment and partial coverage. Pervasive and Mobile Computing, 8(3), 429–447.CrossRef Medagliani, P., Leguay, J., Ferrari, G., Gay, V., & Lopez-Ramos, M. (2012). Energy-efficient mobile target detection in wireless sensor networks with random node deployment and partial coverage. Pervasive and Mobile Computing, 8(3), 429–447.CrossRef
4.
go back to reference Mohamed, R. E., Saleh, A. I., Abdelrazzak, M., & Samra, A. S. (2018). Survey on wireless sensor network applications and energy efficient routing protocols. Wireless Personal Communications, 101(2), 1019–1055.CrossRef Mohamed, R. E., Saleh, A. I., Abdelrazzak, M., & Samra, A. S. (2018). Survey on wireless sensor network applications and energy efficient routing protocols. Wireless Personal Communications, 101(2), 1019–1055.CrossRef
5.
go back to reference Yu, Y., Prasanna, V. K., & Krishnamachari, B. (2006). Energy minimization for real-time data gathering in wireless sensor networks. IEEE Transactions on wireless communications, 5(11), 3087–3096.CrossRef Yu, Y., Prasanna, V. K., & Krishnamachari, B. (2006). Energy minimization for real-time data gathering in wireless sensor networks. IEEE Transactions on wireless communications, 5(11), 3087–3096.CrossRef
6.
go back to reference Guleria, K., & Verma, A. K. (2019). Comprehensive review for energy efficient hierarchical routing protocols on wireless sensor networks. Wireless Networks, 25(3), 1159–1183.CrossRef Guleria, K., & Verma, A. K. (2019). Comprehensive review for energy efficient hierarchical routing protocols on wireless sensor networks. Wireless Networks, 25(3), 1159–1183.CrossRef
7.
go back to reference Fahmy, H. M. A. (2021). Wsn applications. Concepts, applications, experimentation and analysis of wireless sensor networks (pp. 67–232). Cham: Springer.CrossRef Fahmy, H. M. A. (2021). Wsn applications. Concepts, applications, experimentation and analysis of wireless sensor networks (pp. 67–232). Cham: Springer.CrossRef
8.
go back to reference Sajwan, M., Gosain, D., & Sharma, A. K. (2018). Hybrid energy-efficient multi-path routing for wireless sensor networks. Computers & Electrical Engineering, 67, 96–113.CrossRef Sajwan, M., Gosain, D., & Sharma, A. K. (2018). Hybrid energy-efficient multi-path routing for wireless sensor networks. Computers & Electrical Engineering, 67, 96–113.CrossRef
9.
go back to reference Kim, K. T., Lyu, C. H., Moon, S. S., & Youn, H. Y. (2010). Tree-based clustering (TBC) for energy efficient wireless sensor networks. In 2010 IEEE 24th International conference on advanced information networking and applications workshops, pp. 680–685. Kim, K. T., Lyu, C. H., Moon, S. S., & Youn, H. Y. (2010). Tree-based clustering (TBC) for energy efficient wireless sensor networks. In 2010 IEEE 24th International conference on advanced information networking and applications workshops, pp. 680–685.
10.
go back to reference Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd annual hawaii international conference on system sciences, pp. 10 Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd annual hawaii international conference on system sciences, pp. 10
11.
go back to reference Lindsey, S., & Raghavendra, C. S. (2002). PEGASIS: Power-efficient gathering in sensor information systems. In Proceedings, IEEE aerospace conference, Vol. 3, pp. 3–3 Lindsey, S., & Raghavendra, C. S. (2002). PEGASIS: Power-efficient gathering in sensor information systems. In Proceedings, IEEE aerospace conference, Vol. 3, pp. 3–3
12.
go back to reference He, Q., Mou, J., & Lin, B. (2021). A robust self-organizing tree-based routing protocol for wireless sensor networks. Mathematical Problems in Engineering, 2021, 1–13. He, Q., Mou, J., & Lin, B. (2021). A robust self-organizing tree-based routing protocol for wireless sensor networks. Mathematical Problems in Engineering, 2021, 1–13.
13.
go back to reference Han, Z., Wu, J., Zhang, J., Liu, L., & Tian, K. (2014). A general self-organized tree-based energy-balance routing protocol for wireless sensor network. IEEE Transactions on Nuclear Science, 61(2), 732–740.CrossRef Han, Z., Wu, J., Zhang, J., Liu, L., & Tian, K. (2014). A general self-organized tree-based energy-balance routing protocol for wireless sensor network. IEEE Transactions on Nuclear Science, 61(2), 732–740.CrossRef
14.
go back to reference Ullah, Z. (2020). A survey on hybrid, energy efficient and distributed (HEED) based energy efficient clustering protocols for wireless sensor networks. Wireless Personal Communications, 112, 1–29.CrossRef Ullah, Z. (2020). A survey on hybrid, energy efficient and distributed (HEED) based energy efficient clustering protocols for wireless sensor networks. Wireless Personal Communications, 112, 1–29.CrossRef
15.
go back to reference Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 660–670.CrossRef Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 660–670.CrossRef
16.
go back to reference Mhatre, V., & Rosenberg, C. (2004). Homogeneous vs heterogeneous clustered sensor networks: A comparative study. In 2004 IEEE international conference on communications, (IEEE Cat. No. 04CH37577) Vol. 6, pp. 3646–3651. IEEE. Mhatre, V., & Rosenberg, C. (2004). Homogeneous vs heterogeneous clustered sensor networks: A comparative study. In 2004 IEEE international conference on communications, (IEEE Cat. No. 04CH37577) Vol. 6, pp. 3646–3651. IEEE.
17.
go back to reference Loscri, V., et al. (2005). A two-level hierarchy for low-energy adaptive clustering hierarchy (TL-LEACH). IEEE Vehicular Technology Conference, 62(3), 1809. Loscri, V., et al. (2005). A two-level hierarchy for low-energy adaptive clustering hierarchy (TL-LEACH). IEEE Vehicular Technology Conference, 62(3), 1809.
18.
go back to reference Younis, O., & Fahmy, S. (2004). HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing, 3(4), 366–379.CrossRef Younis, O., & Fahmy, S. (2004). HEED: A hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks. IEEE Transactions on Mobile Computing, 3(4), 366–379.CrossRef
19.
go back to reference Kumar, V., Dhok, S. B., Tripathi, R., & Tiwari, S. (2014). A review study on analytical estimation of optimal number of clusters in wireless sensor networks. Transactions on Networks and Communications, 2(5), 75–103.CrossRef Kumar, V., Dhok, S. B., Tripathi, R., & Tiwari, S. (2014). A review study on analytical estimation of optimal number of clusters in wireless sensor networks. Transactions on Networks and Communications, 2(5), 75–103.CrossRef
20.
go back to reference Anand Chatterjee, R., & Kumar, V. (2017). Energy-efficient routing protocol via chain formation in Gaussian distributed wireless sensor networks. International Journal of Electronics Letters, 5(4), 449–462.CrossRef Anand Chatterjee, R., & Kumar, V. (2017). Energy-efficient routing protocol via chain formation in Gaussian distributed wireless sensor networks. International Journal of Electronics Letters, 5(4), 449–462.CrossRef
21.
go back to reference Ahmad, A., Javaid, N., Khan, Z. A., Qasim, U., & Alghamdi, T. A. (2014). \((ACH)^ 2\): Routing scheme to maximize lifetime and throughput of wireless sensor networks. IEEE Sensors Journal, 14(10), 3516–3532.CrossRef Ahmad, A., Javaid, N., Khan, Z. A., Qasim, U., & Alghamdi, T. A. (2014). \((ACH)^ 2\): Routing scheme to maximize lifetime and throughput of wireless sensor networks. IEEE Sensors Journal, 14(10), 3516–3532.CrossRef
22.
go back to reference Gawade, R. D., & Nalbalwar, S. L. (2016). A centralized energy efficient distance based routing protocol for wireless sensor networks. Journal of Sensors, 2016, 1–8.CrossRef Gawade, R. D., & Nalbalwar, S. L. (2016). A centralized energy efficient distance based routing protocol for wireless sensor networks. Journal of Sensors, 2016, 1–8.CrossRef
23.
go back to reference Sharma, S., & Jena, S. K. (2015). Cluster based multipath routing protocol for wireless sensor networks. ACM SIGCOMM Computer Communication Review, 45(2), 14–20.CrossRef Sharma, S., & Jena, S. K. (2015). Cluster based multipath routing protocol for wireless sensor networks. ACM SIGCOMM Computer Communication Review, 45(2), 14–20.CrossRef
24.
go back to reference Sivaganesan, D. (2019). Improvisation of mesh network with wideband code division multiple access. Journal: IRO Journal on Sustainable Wireless Systems, 3, 198–205. Sivaganesan, D. (2019). Improvisation of mesh network with wideband code division multiple access. Journal: IRO Journal on Sustainable Wireless Systems, 3, 198–205.
25.
go back to reference Vijayakumar, T., & Vinothkanna, R. (2020). Efficient energy load distribution model using modified particle swarm optimization algorithm. Journal of Artificial Intelligence, 2(04), 226–231. Vijayakumar, T., & Vinothkanna, R. (2020). Efficient energy load distribution model using modified particle swarm optimization algorithm. Journal of Artificial Intelligence, 2(04), 226–231.
26.
go back to reference Vijayakumar, T., & Vinothkanna, R. (2020). Technical analysis of zigbee wireless communication. Journal of Trends in Computer Science and Smart Technology (TCSST), 2(04), 197–203. Vijayakumar, T., & Vinothkanna, R. (2020). Technical analysis of zigbee wireless communication. Journal of Trends in Computer Science and Smart Technology (TCSST), 2(04), 197–203.
27.
go back to reference Hamdani, M., Qamar, U., Butt, W. H., Khalique, F., & Rehman, S. (2018). A comparison of modern localization techniques in wireless sensor networks (WSNs). In Proceedings of the Future Technologies Conference, pp. 535–548. Cham: Springer. Hamdani, M., Qamar, U., Butt, W. H., Khalique, F., & Rehman, S. (2018). A comparison of modern localization techniques in wireless sensor networks (WSNs). In Proceedings of the Future Technologies Conference, pp. 535–548. Cham: Springer.
28.
go back to reference Alazzawi, L., & Elkateeb, A. (2008). Performance evaluation of the WSN routing protocols scalability. Journal of Computer Systems, Networks, and Communications, 1, 1–9.CrossRef Alazzawi, L., & Elkateeb, A. (2008). Performance evaluation of the WSN routing protocols scalability. Journal of Computer Systems, Networks, and Communications, 1, 1–9.CrossRef
Metadata
Title
IPRA: Iterative Parent-Based Routing Algorithm for Wireless Sensor Networks
Authors
Mohit Sajwan
Ajay K. Sharma
Karan Verma
Publication date
23-01-2022
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 4/2022
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-022-09515-2

Other articles of this Issue 4/2022

Wireless Personal Communications 4/2022 Go to the issue