Congestion Control in Wireless Sensor Network using Artificial Intelligence Techniques
G. Vanitha1, P. Amudha2, S. Sivakumari3
1G.Vanitha*, Research scholar, Department of Computer Science and Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, School of Engineering, Coimbatore, India.
2P.Amudha, Associate Professor Department of Computer Science and Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, School of Engineering, Coimbatore, India.
3S.Sivakumari, Professor and Head, Department of Computer Science and Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, School of Engineering, Coimbatore, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 23, 2020. | Manuscript published on March 10, 2020. | PP: 1697-1699 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2796039520/2020©BEIESP | DOI: 10.35940/ijitee.E2796.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Now-a-days, wireless sensor network has many issues and challenges like energy-efficient, congestion control, delay, scalability, reliability, robustness, etc. Communication between the wireless sensor nodes requires minimum response delay and congestion. It also requires disclosure to be energy efficient. Many congestion control protocols are using to control the congestion and improve the energy-efficient in that particular problem. Then the WSN protocol is classified as the protocol based, wired, wireless, frequency-based, and it will give the solution to that problem efficiently. Then the artificial intelligence techniques are used in a wireless sensor network to control the congestion in the systems. However, the primary fact is that the sensor node runs out of energy quickly, and traffic (congestion) has issues in many congestion control protocols. Here, congestion control is detects by hierarchical, distribution, energy-efficient in the way of algorithm in a WSN. This paper Present a Survey on Congestion Control in wireless sensor network using artificial intelligence Techniques.
Keywords: WSN (Wireless Sensor Network), HEED (Hierarchical Energy-Efficient Distributed), Residual Energy, Node Degree, Probability.
Scope of the Article: Renewable Energy Technology