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Title |
A Comprehensive Model for Energy Consumption in Wireless Sensor Network using the Markov Model |
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Author |
GholaamRezaa Sotudeh and S.Jalaleddin Dastgheib |
| Citation |
Vol. 25 No. 2 pp. 231-235 |
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Abstract |
Due to the availability of energy-efficient sensors, microprocessor and radio frequency circuits for data transfer, wireless sensor network developed rapidly and spread. Wireless sensor networks that include thousands of low-cost sensor nodes are used in various applications such as as health surveillance, battle field surveillance, and environmental monitoring. The sensor node non-rechargeable, non-replaceable and limited power supply is considered as the main challenges of this type of networks. With completion of the node’s power supply, the node actually remains unused. Sleep-wake scheduling is used to reduce energy consumption and extend the life of nodes. We in this paper try to investigate sleep-wake scheduling in sensor nodes with Markov Model. In probability theory, a Markov model is a stochastic model used to model randomly changing systems where it is assumed that future states depend only on the current state not on the events that occurred before it (that is, it assumes the Markov property). Generally, this assumption enables reasoning and computation with the model that would otherwise be intractable. For this reason, in the fields of predictive modelling and probabilistic forecasting, it is desirable for a given model to exhibit the Markov property. It is expected that proposed Markov Model covers all aspects of sleep/wake scheduling in wireless sensor networks. |
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Keywords |
Wireless Sensor Network, Markov Model, Scheduling, Sleep/Awake. |
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