Artificial intelligence for localization of ultrawide bandwidth (UWB) sensor nodes

Congestion Control in Wireless Sensor Network using Artificial Intelligence Techniques

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.e2796.039520 ◽

2020 ◽

Vol 9 (5) ◽

pp. 1697-1699

Keyword(s):

Artificial Intelligence ◽

Wireless Sensor Network ◽

Congestion Control ◽

Sensor Network ◽

Traffic Congestion ◽

Energy Efficient ◽

Sensor Nodes ◽

Wireless Sensor ◽

Artificial Intelligence Techniques ◽

Control Protocols

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.

Artificial Intelligence in Drug Discovery

10.1039/9781788016841 ◽

2020 ◽

Keyword(s):

Artificial Intelligence ◽

Drug Discovery

Artificial Intelligence and Social Work

10.1017/9781108669016 ◽

2018 ◽

Cited By ~ 4

Keyword(s):

Artificial Intelligence ◽

Social Work