Article: Dynamic power management modelling of a wireless sensor node Journal: International Journal of Internet Protocol Technology (IJIPT) 2022 Vol.15 No.2 pp.127 - 135 Abstract: Currently there is a growing attention to design low power and energy-efficient nodes for wireless sensor networks. The critical issue which captures the attention of the researchers is the energy constraint and the lifetime of individual nodes of the network. Among the many power management techniques, Dynamic Power Management (DPM) is the most promising technique to control and save the usage of energy of the node and enhance the lifetime. The article proposes an analyser based event driven sensor node modelled using SimEvents. The model demonstrates the stochastic behaviour of an input event arrival with First In First Out Queue, and a single server. The article employs semi-Markov based DPM to analyse the power behaviour of the sensor node. The developed model is analysed for the power consumption and the lifetime as the performance metrics. The results prove that factors such as arrival rate and change detection probability affect the lifetime and power consumption of an individual node. It is observed that maximum of 237 mW of power is consumed by the node for 85 events/hour and is lasts for 78 days. Further, the effect of event arrival and the change detection probability on the model is also analysed. Inderscience Publishers - linking academia, business and industry through research

Title: Dynamic power management modelling of a wireless sensor node

Authors: Rakhee Kallimani; Sridhar Iyer

Addresses: Department of Electronics and Communication Engineering, S.G. Balekundri Institute of Technology, Nehru Nagar, Shivabasavanagar, Belagavi 590010, Karnataka, India ' Department of Electronics and Communication Engineering, S.G. Balekundri Institute of Technology, Nehru Nagar, Shivabasavanagar, Belagavi 590010, Karnataka, India

Abstract: Currently there is a growing attention to design low power and energy-efficient nodes for wireless sensor networks. The critical issue which captures the attention of the researchers is the energy constraint and the lifetime of individual nodes of the network. Among the many power management techniques, Dynamic Power Management (DPM) is the most promising technique to control and save the usage of energy of the node and enhance the lifetime. The article proposes an analyser based event driven sensor node modelled using SimEvents. The model demonstrates the stochastic behaviour of an input event arrival with First In First Out Queue, and a single server. The article employs semi-Markov based DPM to analyse the power behaviour of the sensor node. The developed model is analysed for the power consumption and the lifetime as the performance metrics. The results prove that factors such as arrival rate and change detection probability affect the lifetime and power consumption of an individual node. It is observed that maximum of 237 mW of power is consumed by the node for 85 events/hour and is lasts for 78 days. Further, the effect of event arrival and the change detection probability on the model is also analysed.

Keywords: dynamic power management; wireless sensor node; semi-Markov model.

DOI: 10.1504/IJIPT.2022.123589

International Journal of Internet Protocol Technology, 2022 Vol.15 No.2, pp.127 - 135

Received: 27 Nov 2020
Accepted: 06 Jun 2021
Published online: 29 Jun 2022 *

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Title: Dynamic power management modelling of a wireless sensor node

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