International Journal of Advanced Research in Engineering and Technology (IJARET)

Source ID:00000006
Volume 12, Issue 4,April 2021, Pages 226-234, Page Count - 9


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, Tamil Nadu, India.

Manuscript ID:- 00000-55120
Access Type : Open Access
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Cite this article:K. Vijayalakshmi,N. Hema Rajini,  Analysis Of Jamming Attack In Manet Using Enhanced Time Division Multiple Access And Enhanced Artificial Bee Colony (etdabc) Approach, International Journal of Advanced Research in Engineering and Technology(IJARET), 2021, 12(4), PP.226-234

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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), Enhanced Artificial Bee Colony (EABC) Algorithm and Enhanced Time Division Multiple Access and Enhanced Artificial Bee Colony (ETDABC). 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 Enhanced Time Division Multiple Access and Enhanced Artificial Bee Colony (ETDABC)

ISSN Print: 0976-6480 ISSN Online: 0976-6499
Source Type: Journals Document Type: Journal Article
Publication Language: English DOI: 10.34218/IJARET.12.4.2021.026
Abbreviated Journal Title: IJARET 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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