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.
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Kallimani, R., Pai, K., Rasane, K. (2021). Stochastic Model of a Sensor Node. In: Deshpande, P., Abraham, A., Iyer, B., Ma, K. (eds) Next Generation Information Processing System. Advances in Intelligent Systems and Computing, vol 1162 . Springer, Singapore. https://doi.org/10.1007/978-981-15-4851-2_26
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DOI: https://doi.org/10.1007/978-981-15-4851-2_26
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