Efficient power management in real-time embedded systems

Zuquim, A.L.A.P.; Vieira, Luiz F. M.; Vieira, Marcos A. M.; Vieira, Alex Borges; Carvalho, Hervaldo Sampaio; Nacif, José Augusto M.; Coelho, Carlyle Mendes; Silva, D.C. da; Fernandes, A.O.; Loureiro, A.A.F.

doi:10.1109/etfa.2003.1247748

Cited by 17 publications

(11 citation statements)

References 9 publications

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“…In fact, to our knowledge, there are only two studies that address this possibility [4] [3]. The work proposed in [4] influenced our solution presented in this paper.…”

Section: Related Workmentioning

confidence: 95%

“…In fact, to our knowledge, there are only two studies that address this possibility [4] [3]. The work proposed in [4] influenced our solution presented in this paper. In [4], it is proposed an Extended Power State Machine (EPSM) that includes the state of an embedded program in the power state machine formulation.…”

Section: Related Workmentioning

confidence: 95%

“…The work proposed in [4] influenced our solution presented in this paper. In [4], it is proposed an Extended Power State Machine (EPSM) that includes the state of an embedded program in the power state machine formulation. This EPSM model is used to adapt the Quality of Service (QoS) in communication intensive devices to ensure low power consumption in embedded systems.…”

Section: Related Workmentioning

confidence: 99%

“…There are few proposals that also consider application constraints in their DPM models [4] [3]. However, in the best of our knowledge, there is no existing work on making an application-driven DPM model using the hybrid automata framework in wireless sensor networks.…”

Section: Introductionmentioning

confidence: 99%

“…Different DPMs techniques have been proposed to reduce the power consumption in sensor nodes and in general battery-powered embedded systems [1] [2][3] [4]. Most of these techniques exploit the sleep and idle states, where the power consumption is lower, following the philosophy of getting the work done as quickly as possible and sleep.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Power Management in Wireless Sensor Networks: An Application-Driven Approach

Passos

Coelho

Loureiro

et al.

Second Annual Conference on Wireless on-Demand Network Systems and Services

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Abstract-Energy is a limited resource in wireless sensor networks. In fact, the reduction of power consumption is crucial to increase the lifetime of low power sensor networks. Several approaches on dynamic power management have contributed to reduce the power consumption, but few of them consider the application constraints to optimize it. In this paper, we propose a new application-driven power management approach, where we model the sensor node operation and the application constraints using the hybrid automata framework. We also model a real sensor network application for fire detection and we show the performance of our approach in terms of energy drop, comparing it to an Ideal Model and a Naive approach.

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“…In fact, to our knowledge, there are only two studies that address this possibility [4] [3]. The work proposed in [4] influenced our solution presented in this paper.…”

Section: Related Workmentioning

confidence: 95%

Section: Related Workmentioning

confidence: 95%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Dynamic Power Management in Wireless Sensor Networks: An Application-Driven Approach

Passos

Coelho

Loureiro

et al.

Second Annual Conference on Wireless on-Demand Network Systems and Services

Self Cite

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Dynamic power management in new architecture of wireless sensor networks

Lin

Xiong

Park

et al. 2008

Int J Communication

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SUMMARYDynamic power management (DPM) technology has been widely used in sensor networks. Though many specific technical challenges remain and deserve much further study, the primary factor currently limiting progress in sensor networks is not these challenges but is instead the lack of an overall sensor network architecture. In this paper, we first develop a new architecture of sensor networks. Then we modify the sleep state policy developed by Sinha and Chandrakasan in (IEEE Design Test Comput. 2001; 18(2):62-74) and deduce that a new threshold satisfies the sleep-state transition policy. Under this new architecture, nodes in deeper sleep states consume lower energy while asleep, but require longer delays and higher latency costs to awaken. Implementing DPM with considering the battery status and probability of event generation will reduce the energy consumption and prolong the whole lifetime of the sensor networks. We also propose a new energy-efficient DPM, which is a modified sleep state policy and combined with optimal geographical density control (OGDC) (Wireless Ad Hoc Sensor Networks 2005; 1(1-2):89-123) to keep a minimal number of sensor nodes in the active mode in wireless sensor networks. Implementing dynamic power management with considering the battery status, probability of event generation and OGDC will reduce the energy consumption and prolong the whole lifetime of the sensor networks.

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Fan

et al. 2009

Int J Communication

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Efficient power management in real-time embedded systems

Cited by 17 publications

References 9 publications

Dynamic Power Management in Wireless Sensor Networks: An Application-Driven Approach

Dynamic Power Management in Wireless Sensor Networks: An Application-Driven Approach

Dynamic power management in new architecture of wireless sensor networks

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