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Stochastic Model of a Sensor Node

  • Rakhee KallimaniEmail author
  • Krishna Pai
  • Krupa Rasane
Conference paper
  • 33 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1162)

Abstract

the emerging area for researchers in the field of power concern embedded system is wireless sensor network (wsn) to develop a platform capable of analyzing and controlling the power behavior of low power embedded system and achieve high performance in terms of battery life. in recent days, the embedded systems use ultra-low powered hardware components at the node level, yet there is a need to analyze the consumption of power in sensor node and performance of the complete network. this motivates us to provide a power analyzer unit on the wireless sensor node based on stochastic process that can be used to monitor, analyze and control the node energy by switching to low power down modes or turn off other peripherals and improve the lifetime of a node. the mathematical model for power consumption and lifetime is developed to observe the effect of proposed system using stochastic approach. this paper presents simulation results that are evident to improve the battery lifetime of a node by operating the node at low power states using dynamic power management schemes.

Keywords

WSN Dynamic power management Stochastic model Lifetime Power consumption Sensor node Analyzer Event arrival Change detection probability 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2021

Authors and Affiliations

  1. 1.KLE Dr. M.S. Sheshgiri College of Engineering and TechnologyBelagaviIndia
  2. 2.Jain College of Engineering and TechnologyBelagaviIndia

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