
Soft Computing Approach To Design Energy Efficient Protocol In Wireless Sensor Network
Author(s) -
Santosh Anand,
Somnath Sinha
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1123/1/012031
Subject(s) - wireless sensor network , node (physics) , computer science , transmission (telecommunications) , computer network , energy (signal processing) , power (physics) , maximum power principle , key distribution in wireless sensor networks , wireless network , protocol (science) , power transmission , wireless , telecommunications , engineering , mathematics , medicine , statistics , physics , alternative medicine , structural engineering , pathology , quantum mechanics
The major limitation of Wireless Sensor Network (WSN) is the efficient utilization of energy resources. Maximum energy is lost during communication in terms of transmission power. The minimum and maximum value of transmission power depends on the node density for any particular network. In this research work the transmission power which is generally considered to be fixed for any node is subjected to be changed by taking random values between minimum and maximum transmission power as directed by the proposed neural network model. The idea cab be used in any simulation technique to enhance the lifetime of WSN. It proves that the network can save the energy considerably.