This paper is published in Volume-6, Issue-4, 2020
Area
Computer Science
Author
Gbazoe Kelezonga Daniel
Co-authors
Anuj Gupta
Org/Univ
AP Goyal Shimla University, Shimla, Himachal Pradesh, India
Pub. Date
30 July, 2020
Paper ID
V6I4-1313
Publisher
Keywords
Packet Delivery Rate, Throughput, Energy Consumption, Delay, WSN

Citationsacebook

IEEE
Gbazoe Kelezonga Daniel, Anuj Gupta. Black hole attack detection and prevention by Grey Wolf Optimization, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Gbazoe Kelezonga Daniel, Anuj Gupta (2020). Black hole attack detection and prevention by Grey Wolf Optimization. International Journal of Advance Research, Ideas and Innovations in Technology, 6(4) www.IJARIIT.com.

MLA
Gbazoe Kelezonga Daniel, Anuj Gupta. "Black hole attack detection and prevention by Grey Wolf Optimization." International Journal of Advance Research, Ideas and Innovations in Technology 6.4 (2020). www.IJARIIT.com.

Abstract

In this work, a detailed description of attacks in wireless sensor networks is presented and after this detailed literature review on the related approaches is resented. The review of different approaches and their methodology helps to improve the methodology of the work and helps to enhance the knowledge related to different types of attacks and their solution on WSN. This work presented the work on the optimization of energy and reduction in delay and packet loss during the communication on network. The optimization performed by using the grey wolf optimization algorithm which is a global optimizer that optimizes the results for effective and efficient outcomes. It improves the packet delivery rate, throughput, and reduces energy consumption and delay.
Paper PDF