Open AccessCongestion Control in Wireless Sensor Network using Artificial Intelligence Techniques
Author(s) -
G. Vanitha,
P. Amudha,
S. Sivakumari
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.e2796.039520
Subject(s) - network congestion , wireless sensor network , computer science , computer network , key distribution in wireless sensor networks , network traffic control , mobile wireless sensor network , robustness (evolution) , wireless network , wireless , efficient energy use , scalability , distributed computing , engineering , telecommunications , biochemistry , chemistry , database , network packet , electrical engineering , gene
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.