Stochastic Modeling and Analysis with Energy Optimization for Wireless Sensor Networks

Due to the battery limitation of wireless sensor network (WSN), there is imperative requirement of energy saving and optimization in practical application of WSN. In order to optimize the energy of WSN, in this paper, a stochastic energy model for WSN is proposed. The model is based on the continuou...

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Main Authors: DongHong Xu, Ke Wang
Format: Article
Language:English
Published: Wiley 2014-05-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2014/672494
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author DongHong Xu
Ke Wang
author_facet DongHong Xu
Ke Wang
author_sort DongHong Xu
collection DOAJ
description Due to the battery limitation of wireless sensor network (WSN), there is imperative requirement of energy saving and optimization in practical application of WSN. In order to optimize the energy of WSN, in this paper, a stochastic energy model for WSN is proposed. The model is based on the continuous time Markovian decision processes (CMDP) machine and spans both energy consumption and ensued transition costs. We use PRISM to analyze stochastic CMDP strategies of sensor devices as the formal framework. Simulation experiment is carried out to evaluate the model with given performance criteria. The result shows that the given model can effectively balance energy optimization and perform with high efficiency in WSN.
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publishDate 2014-05-01
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series International Journal of Distributed Sensor Networks
spelling doaj-art-e2accae46fed4d4c83d28d10f69f35ef2025-08-20T03:21:07ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-05-011010.1155/2014/672494672494Stochastic Modeling and Analysis with Energy Optimization for Wireless Sensor NetworksDongHong XuKe WangDue to the battery limitation of wireless sensor network (WSN), there is imperative requirement of energy saving and optimization in practical application of WSN. In order to optimize the energy of WSN, in this paper, a stochastic energy model for WSN is proposed. The model is based on the continuous time Markovian decision processes (CMDP) machine and spans both energy consumption and ensued transition costs. We use PRISM to analyze stochastic CMDP strategies of sensor devices as the formal framework. Simulation experiment is carried out to evaluate the model with given performance criteria. The result shows that the given model can effectively balance energy optimization and perform with high efficiency in WSN.https://doi.org/10.1155/2014/672494
spellingShingle DongHong Xu
Ke Wang
Stochastic Modeling and Analysis with Energy Optimization for Wireless Sensor Networks
International Journal of Distributed Sensor Networks
title Stochastic Modeling and Analysis with Energy Optimization for Wireless Sensor Networks
title_full Stochastic Modeling and Analysis with Energy Optimization for Wireless Sensor Networks
title_fullStr Stochastic Modeling and Analysis with Energy Optimization for Wireless Sensor Networks
title_full_unstemmed Stochastic Modeling and Analysis with Energy Optimization for Wireless Sensor Networks
title_short Stochastic Modeling and Analysis with Energy Optimization for Wireless Sensor Networks
title_sort stochastic modeling and analysis with energy optimization for wireless sensor networks
url https://doi.org/10.1155/2014/672494
work_keys_str_mv AT donghongxu stochasticmodelingandanalysiswithenergyoptimizationforwirelesssensornetworks
AT kewang stochasticmodelingandanalysiswithenergyoptimizationforwirelesssensornetworks