General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2011 Vol.3(6): 816-821 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2011.V3.415

A Swarm Based Defense Technique for Jamming Attacks in Wireless Sensor Networks

S. Periyanayagi and V. Sumathy

Abstract—Jamming can interrupt wireless transmission and occur by mistake in form of interference, noise or as collision at the receiver or in the circumstance of an attack. In this paper, we propose a swarm based defense technique for jamming attacks in wireless sensor networks. Swarm intelligence algorithm is proficient enough to adapt change in network topology and traffic. The sender and receiver change channels in order to stay away from the jammer, in channel hoping technique. The jammers remain on a single channel, hoping to disrupt any fragment that may be transmitted in the pulse jamming technique. Using the swarm intelligence technique, the forward ants either unicast or broadcast at each node depending on the availability of the channel information for end of the channel. If the channel information is available, the ants randomly choose the next hop. As the backward ants reaches the source, the data collected is verified which channel there is prevalence of attacker long time, and those are omitted. Simultaneously the forward ants are sent through other channels which are not detected before for attacks. This scheme helps limit the channel maintenance overhead. By simulation results, it is clear that this swarm based defense technique for jamming attack is more effective than the existing works.

Index Terms—Jamming attacks, Swarm Based Defense Technique (SBDT), Swarm Intelligence (SI), Wireless Sensor Networks (WSN).

S. Periyanayagi is with Department of ECE, Angel College of Engineering and Technology, Tirupur (e-mail: periyanayagiphd@gmail.com)
V. Sumathy is with Department of ECE Government College of Technology

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Cite: S. Periyanayagi and V. Sumathy, "A Swarm Based Defense Technique for Jamming Attacks in Wireless Sensor Networks," International Journal of Computer Theory and Engineering vol. 3, no. 6, pp.  816-821, 2011.


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