Wireless Sensor Networks Congestion and Role of Artificial Intelligence

International Journal of Computer Engineering and Technology, 10(2), 2019, pp. 60-66.

7 Pages Posted: 13 Mar 2020

See all articles by M.S. Doibale

M.S. Doibale

Research Scholar, School of Computational Sciences S.R.T.M.U. Nanded, Maharashtra, India

Dr. Gajanan Kurundkar

SRT MU, Nanded-Maharashtra-India

Date Written: 2019

Abstract

The occurrence of the congestion has an extremely deleterious impact on the performance of Wireless Sensor Network (WSNs). Some novel blockage control method utilizing computerized reasoning for remote sensor systems. Remote Sensor Systems are a class of remote systems estimated for checking objective and ecological wonders. Our paper provides opening to wireless sensor network as well as for artificial intelligence, which aims to act both proactively, in order to avoid the creation of congestion in WSNs, and reactively, so as to mitigate the diffusion of upcoming congestion through alternative path routing. We make use of Artificial Intelligence (AI) which play an important role in our society, give rise to systems that can manage themselves. Many advanced AI techniques can be utilized to improve the performance and reliability. Investigating the AI algorithm applied to WSN may improve network management, security or routing in WSN which may result in a more reliable network. We will look at AI algorithm applied in WSN and discuss the possible use of these AI in WSN to address the WSN challenge and improve its performance and reliability. And due to the constraint on data processing and power consumptions, use of artificial intelligence has been historically discarded in these kind of network. The use of the AI in WSN makes system error free, fast and efficient in almost many aspects. This paper attempts to encourage the use of artificial intelligence techniques in wireless sensor nodes.

Keywords: WSN (Wireless Sensor Network), control framework, booking, strength, streamlining, counterfeit consciousness, stream control, AI, security, routing, and traffic management

Suggested Citation

Doibale, M.S. and Kurundkar, Dr. Gajanan, Wireless Sensor Networks Congestion and Role of Artificial Intelligence (2019). International Journal of Computer Engineering and Technology, 10(2), 2019, pp. 60-66., Available at SSRN: https://ssrn.com/abstract=3538118

M.S. Doibale (Contact Author)

Research Scholar, School of Computational Sciences S.R.T.M.U. Nanded, Maharashtra, India ( email )

Maharashtra
India

Dr. Gajanan Kurundkar

SRT MU, Nanded-Maharashtra-India ( email )

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