Effects of Network Density in Detecting Node Abnormality in Wireless Sensor Networks

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CAN Z., DEĞİRMENCİ E.

International Conference on Internet of Things, Big Data Analytics and Information Technology. December 2020, İstanbul, Turkey, 20 December 2020, (Full Text)

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Eskisehir Osmangazi University Affiliated: Yes

Abstract

With the novel developments in Wireless Sensor Network (WSN) technologies, understanding node patterns have become critical for enabling security since the vulnerable structure of WSN nodes is a drawback of the technological developments in the area. Understanding node activity patterns helps to detect abnormal node behaviors and prevent malicious nodes. In this study, we observe diverse node activity patterns in terms of packet reception, packet transmission, and energy utilization. We also observe the network delay pattern between the source and sink according to various network sizes.