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KABLOSUZ SENSÖR AĞLARINDA ANORMALİTE TESPİT ETMEDE ENERJİ KULLANIMININ ETKİLERİ

Yıl 2022, , 1 - 6, 15.04.2022
https://doi.org/10.31796/ogummf.869907

Öz

Kablosuz Sensör Ağları (KSA'lar) teknolojilerindeki yeni gelişmelerle birlikte, çevresel
veri toplama ve işleme hizmetleri, çeşitli endüstriyel ve bilimsel alanlarda uygulanabilir
durumdadır. Bununla birlikte, KSA düğümlerinin enerji kısıtlamaları ve güvenlik açıkları
hâlâ bu alandaki teknolojik gelişmelerin ana dezavantajlarındandır. Düğümlerin enerji
kullanım biçimlerini anlamak, anormal düğüm davranışlarını tespit etmeye ve kötü
niyetli düğümleri önlemeye yardımcı olur. Bu çalışmada, düğümlerin enerji tüketimi
davranışlarını gözlemleyerek, düğümlerin türlerine özgü aktivite biçimleri olduğu
sunucuna vardık. Bunun yanında, veri kaynağı, veri sorgulayıcısı ve veri yayılma
yolundaki iletici düğümlerin, diğer düğümlere kıyasla, daha yüksek enerji tüketimi
biçimine sahip olduğu sonucuna varmış bulunuyoruz. 

Kaynakça

  • Brindha, P., & Senthilkumar, A. (2019). Data dependability based bimodal encryption scheme for distributed routing in wireless sensor networks. Peer-to-Peer Networking and Applications, 1-10.
  • Hari, P. B., & Singh, S. N. (2016, April). Security issues in Wireless Sensor Networks: Current research and challenges. In 2016 International Conference on Advances in Computing, Communication, & Automation (ICACCA)(Spring) (pp. 1-6). IEEE.
  • Jadidoleslamy, H. (2017). A hierarchical multipath routing protocol in clustered wireless sensor networks. Wireless Personal Communications, 96(3), 4217-4236.
  • Kumar, S., & Jena, S. (2010, December). SCMRP: Secure cluster based multipath routing protocol for wireless sensor networks. In 2010 Sixth International conference on Wireless Communication and Sensor Networks (pp. 1-6). IEEE.
  • Mehmood, A., Lloret, J., & Sendra, S. (2016). A secure and low‐energy zone‐based wireless sensor networks routing protocol for pollution monitoring. Wireless Communications and Mobile Computing, 16(17), 2869-2883.
  • Moulad, L., Belhadaoui, H., & Rifi, M. (2017). Implementation of a hierarchical hybrid intrusion detection mechanism in wireless sensors network. Int. J. Adv. Comput. Sci. Appl., 8(10), 270-278.
  • Muthusenthil, B., & Kim, H. (2017). SHRP-Secure Hybrid Routing Protocol over Hierarchical Wireless Sensor Networks. International Journal of Computers Communications & Control, 12(6), 854-870.
  • Sahraoui, S., & Bouam, S. (2013). Secure routing optimization in hierarchical cluster-based wireless sensor networks. International Journal of Communication Networks and Information Security, 5(3), 178.
  • Yu, Y., Govindan, R., & Estrin, D. (2001). Geographical and energy aware routing: A recursive data dissemination protocol for wireless sensor networks. Technical report ucla/csd-tr-01-0023, UCLA Computer Science Department.
  • Zhang, K., Wang, C., & Wang, C. (2008, October). A secure routing protocol for cluster-based wireless sensor networks using group key management. In 2008 4th international conference on wireless communications, networking and mobile computing (pp. 1-5). IEEE.

ENERGY UTILIZATION IMPACTS IN DETECTING ABNORMALITY ON WIRELESS SENSOR NETWORKS

Yıl 2022, , 1 - 6, 15.04.2022
https://doi.org/10.31796/ogummf.869907

Öz

With the novel developments in Wireless Sensor Network (WSN) technologies, environmental data collection and processing services are applied in diverse industrial and scientific areas. However, energy limitations and vulnerabilities of WSN nodes are still the main drawbacks of technological developments in the area. Understanding the energy utilization patterns of nodes helps to detect abnormal node behaviors and prevent malicious nodes. In this study, we observe the energy utilization behaviors of nodes and found that nodes have distinctive activity patterns based on their types. We also found that source, sink, and relay nodes on the data propagation path have higher energy consumption patterns compared to other nodes

Kaynakça

  • Brindha, P., & Senthilkumar, A. (2019). Data dependability based bimodal encryption scheme for distributed routing in wireless sensor networks. Peer-to-Peer Networking and Applications, 1-10.
  • Hari, P. B., & Singh, S. N. (2016, April). Security issues in Wireless Sensor Networks: Current research and challenges. In 2016 International Conference on Advances in Computing, Communication, & Automation (ICACCA)(Spring) (pp. 1-6). IEEE.
  • Jadidoleslamy, H. (2017). A hierarchical multipath routing protocol in clustered wireless sensor networks. Wireless Personal Communications, 96(3), 4217-4236.
  • Kumar, S., & Jena, S. (2010, December). SCMRP: Secure cluster based multipath routing protocol for wireless sensor networks. In 2010 Sixth International conference on Wireless Communication and Sensor Networks (pp. 1-6). IEEE.
  • Mehmood, A., Lloret, J., & Sendra, S. (2016). A secure and low‐energy zone‐based wireless sensor networks routing protocol for pollution monitoring. Wireless Communications and Mobile Computing, 16(17), 2869-2883.
  • Moulad, L., Belhadaoui, H., & Rifi, M. (2017). Implementation of a hierarchical hybrid intrusion detection mechanism in wireless sensors network. Int. J. Adv. Comput. Sci. Appl., 8(10), 270-278.
  • Muthusenthil, B., & Kim, H. (2017). SHRP-Secure Hybrid Routing Protocol over Hierarchical Wireless Sensor Networks. International Journal of Computers Communications & Control, 12(6), 854-870.
  • Sahraoui, S., & Bouam, S. (2013). Secure routing optimization in hierarchical cluster-based wireless sensor networks. International Journal of Communication Networks and Information Security, 5(3), 178.
  • Yu, Y., Govindan, R., & Estrin, D. (2001). Geographical and energy aware routing: A recursive data dissemination protocol for wireless sensor networks. Technical report ucla/csd-tr-01-0023, UCLA Computer Science Department.
  • Zhang, K., Wang, C., & Wang, C. (2008, October). A secure routing protocol for cluster-based wireless sensor networks using group key management. In 2008 4th international conference on wireless communications, networking and mobile computing (pp. 1-5). IEEE.
Toplam 10 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Bilgisayar Yazılımı
Bölüm Araştırma Makaleleri
Yazarlar

Zuhal Can 0000-0002-6801-1334

Elif Değirmenci Bu kişi benim 0000-0001-8772-4543

Yayımlanma Tarihi 15 Nisan 2022
Kabul Tarihi 16 Aralık 2021
Yayımlandığı Sayı Yıl 2022

Kaynak Göster

APA Can, Z., & Değirmenci, E. (2022). ENERGY UTILIZATION IMPACTS IN DETECTING ABNORMALITY ON WIRELESS SENSOR NETWORKS. Eskişehir Osmangazi Üniversitesi Mühendislik Ve Mimarlık Fakültesi Dergisi, 30(1), 1-6. https://doi.org/10.31796/ogummf.869907
AMA Can Z, Değirmenci E. ENERGY UTILIZATION IMPACTS IN DETECTING ABNORMALITY ON WIRELESS SENSOR NETWORKS. ESOGÜ Müh Mim Fak Derg. Nisan 2022;30(1):1-6. doi:10.31796/ogummf.869907
Chicago Can, Zuhal, ve Elif Değirmenci. “ENERGY UTILIZATION IMPACTS IN DETECTING ABNORMALITY ON WIRELESS SENSOR NETWORKS”. Eskişehir Osmangazi Üniversitesi Mühendislik Ve Mimarlık Fakültesi Dergisi 30, sy. 1 (Nisan 2022): 1-6. https://doi.org/10.31796/ogummf.869907.
EndNote Can Z, Değirmenci E (01 Nisan 2022) ENERGY UTILIZATION IMPACTS IN DETECTING ABNORMALITY ON WIRELESS SENSOR NETWORKS. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi 30 1 1–6.
IEEE Z. Can ve E. Değirmenci, “ENERGY UTILIZATION IMPACTS IN DETECTING ABNORMALITY ON WIRELESS SENSOR NETWORKS”, ESOGÜ Müh Mim Fak Derg, c. 30, sy. 1, ss. 1–6, 2022, doi: 10.31796/ogummf.869907.
ISNAD Can, Zuhal - Değirmenci, Elif. “ENERGY UTILIZATION IMPACTS IN DETECTING ABNORMALITY ON WIRELESS SENSOR NETWORKS”. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi 30/1 (Nisan 2022), 1-6. https://doi.org/10.31796/ogummf.869907.
JAMA Can Z, Değirmenci E. ENERGY UTILIZATION IMPACTS IN DETECTING ABNORMALITY ON WIRELESS SENSOR NETWORKS. ESOGÜ Müh Mim Fak Derg. 2022;30:1–6.
MLA Can, Zuhal ve Elif Değirmenci. “ENERGY UTILIZATION IMPACTS IN DETECTING ABNORMALITY ON WIRELESS SENSOR NETWORKS”. Eskişehir Osmangazi Üniversitesi Mühendislik Ve Mimarlık Fakültesi Dergisi, c. 30, sy. 1, 2022, ss. 1-6, doi:10.31796/ogummf.869907.
Vancouver Can Z, Değirmenci E. ENERGY UTILIZATION IMPACTS IN DETECTING ABNORMALITY ON WIRELESS SENSOR NETWORKS. ESOGÜ Müh Mim Fak Derg. 2022;30(1):1-6.

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