Araştırma Makalesi
BibTex RIS Kaynak Göster

Network Load Effects on Wireless Sensor Network Node Activity

Yıl 2022, Cilt: 3 Sayı: 1, 6 - 10, 31.01.2022
https://doi.org/10.53608/estudambilisim.1021409

Öz

Due to the failure-prone and vulnerable structure of WSN nodes, understanding the typical activity patterns of nodes helps to identify the faulty and malicious node activities, and to differentiate normal node behaviors from abnormal node behaviors. In this study, for understanding the typical node activities, we observe the effects of the network load on energy consumption, packet throughput, and latency parameters. We run simulations of networks with a variable number of sinks. We found that an increase in the number of sinks affects the overall network load and causes communication delays between the source and sink node.

Kaynakça

  • Zhang, X.L.a.P., A Novel Load Balancing Strategy for Wireless Sensor Networks. IEEE Communications Letters. 22(1): p. 125-128.
  • Tubaishat, M., et al., A secure hierarchical model for sensor network. ACM Sigmod Record, 2004. 33(1): p. 7-13.
  • Wu, D., G. Hu, and G. Ni. Research and improve on secure routing protocols in wireless sensor networks. in 2008 4th IEEE International Conference on Circuits and Systems for Communications. 2008. IEEE.
  • Lalitha, T. and R. Umarani, Energy Efficient Cluster Based Key Management Technique For Wireless Sensor Networks, in India. InternationalJournal of Advances in Engineering & Technology. 2012, Bharatiar University.
  • Gaber, T., et al., Trust-based secure clustering in WSN-based intelligent transportation systems. Computer Networks, 2018. 146: p. 151-158.
  • Aponte-Luis, J., et al., An efficient wireless sensor network for industrial monitoring and control. Sensors, 2018. 18(1): p. 182.
  • Priyadharshini, A.S. and C. Arvind. Security-Based LEACH Protocol for Wireless Sensor Network. in International Conference on Innovative Computing and Communications. 2021. Springer.
  • Yu, Y., R. Govindan, and D. Estrin, Geographical and energy aware routing: A recursive data dissemination protocol for wireless sensor networks. 2001.

Network Load Effects on Wireless Sensor Network Node Activity

Yıl 2022, Cilt: 3 Sayı: 1, 6 - 10, 31.01.2022
https://doi.org/10.53608/estudambilisim.1021409

Öz

Due to the failure-prone and vulnerable structure of WSN nodes, understanding the typical activity patterns of nodes helps to identify the faulty and malicious node activities, and to differentiate normal node behaviors from abnormal node behaviors. In this study, for understanding the typical node activities, we observe the effects of the network load on energy consumption, packet throughput, and latency parameters. We run simulations of networks with a variable number of sinks. We found that an increase in the number of sinks affects the overall network load and causes communication delays between the source and sink node.

Kaynakça

  • Zhang, X.L.a.P., A Novel Load Balancing Strategy for Wireless Sensor Networks. IEEE Communications Letters. 22(1): p. 125-128.
  • Tubaishat, M., et al., A secure hierarchical model for sensor network. ACM Sigmod Record, 2004. 33(1): p. 7-13.
  • Wu, D., G. Hu, and G. Ni. Research and improve on secure routing protocols in wireless sensor networks. in 2008 4th IEEE International Conference on Circuits and Systems for Communications. 2008. IEEE.
  • Lalitha, T. and R. Umarani, Energy Efficient Cluster Based Key Management Technique For Wireless Sensor Networks, in India. InternationalJournal of Advances in Engineering & Technology. 2012, Bharatiar University.
  • Gaber, T., et al., Trust-based secure clustering in WSN-based intelligent transportation systems. Computer Networks, 2018. 146: p. 151-158.
  • Aponte-Luis, J., et al., An efficient wireless sensor network for industrial monitoring and control. Sensors, 2018. 18(1): p. 182.
  • Priyadharshini, A.S. and C. Arvind. Security-Based LEACH Protocol for Wireless Sensor Network. in International Conference on Innovative Computing and Communications. 2021. Springer.
  • Yu, Y., R. Govindan, and D. Estrin, Geographical and energy aware routing: A recursive data dissemination protocol for wireless sensor networks. 2001.
Toplam 8 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Bilgisayar Yazılımı
Bölüm Araştırma Makaleleri
Yazarlar

Zuhal Can 0000-0002-6801-1334

Elif Değirmenci 0000-0001-8772-4543

Yayımlanma Tarihi 31 Ocak 2022
Gönderilme Tarihi 9 Kasım 2021
Kabul Tarihi 6 Ocak 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 3 Sayı: 1

Kaynak Göster

IEEE Z. Can ve E. Değirmenci, “Network Load Effects on Wireless Sensor Network Node Activity”, ESTUDAM Bilişim, c. 3, sy. 1, ss. 6–10, 2022, doi: 10.53608/estudambilisim.1021409.

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