International Journal of Electrical Engineering and Technology (IJEET)

Source ID:00000003
Volume 12, Issue 4,April 2021, Pages 25-32, Page Count - 8


K. Vijayalakshmi (1) N. Hema Rajini (2)

(1) Research Scholar, Department of Computer Science and Engineering, Annamalai University, Annamalai Nagar, Chidambaram, India.
(2) Associate Professor, Department of Computer Science and Engineering, Alagappa University, Karaikkudi, India.

Manuscript ID:- 00000-55401
Access Type : Open Access
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Cite this article:K. Vijayalakshmi,N. Hema Rajini,  Detection Of Jamming Attack In Manet Using Enhanced Artificial Bee Colony Algorithm, International Journal of Electrical Engineering and Technology(IJEET), 2021, 12(4), PP.25-32

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Jammer is defined as an individual who is intentionally obstructing the legal wireless communication. There are many different attack strategies an adversary can use to jam wireless communications. The jammers considered for this research work is academic models. To improve the overall performance and the detection of jammers, this research work introduces swarm intelligence based algorithm to solve the jamming attack in MANET. The intelligent algorithms are deployed in MANET to apperceive the changes in network topology, the network communication flow, and each node’s energy state. The main contribution of the present research work is the introduction of swarm intelligent algorithms like Enhanced Ant Colony Optimization (EACO) and Enhanced Artificial Bee Colony (EABC) Algorithm. These swarm intelligent algorithms are more flexible and improve the searching capability of the algorithms.
Author Keywords
MANET Jamming Attack Enhanced Ant Colony Optimization Enhanced Artificial Bee Colony Algorithm
Index Keywords
Jammer  wireless communication  MANET  Artificial Bee Colony Swarm intelligent

ISSN Print: 0976-6545 ISSN Online: 0976-6553
Source Type: Journals Document Type: Journal Article
Publication Language: English DOI: 10.34218/IJEET.12.4.2021.004
Abbreviated Journal Title: IJEET Access Type: Open Access
Publisher Name: IAEME Publication Resource Licence: CC BY-NC
Major Subject:Physical Sciences Subject Area classification: Computer Science
Subject area: Computer Networks and Communications Source: SCOPEDATABASE

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