Energy Efficient Power Management Protocol For Hierarchical Wireless Sensor Network Employing Artificial Intelligence & Dual Stack Sleep Mode

Abstract

Wireless sensor networks are becoming an integral part of household & industrial technology, & the usage & acceptance expected to rise dramatically with the advent of IOT. Thus we need of the highly energy efficient, wireless sensor network for data collection. Our proposed system is a hierarchical architecture wireless senor network based on tree topology along with dynamic energy saving techniques. In this paper Artificial intelligence based transmitter power variation by estimation of distance is employed to save battery power while data is transmitted. Also, to save energy during sleep circuitry has been devised, dual stack design sleep power consumption are verified using tanner tools, the entire hierarchical WSN is modelled & tested using MATLAB.