A Network Level Power Management for Home Network Devices

Jeong, Youn-Kwae; Han, Intark; Park, Kwang-Roh

doi:10.1109/icce.2008.4587927

Cited by 7 publications

(9 citation statements)

References 2 publications

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“…Energy-aware Plug and Play (EPnP) [6] proposes a network level power management for home network devices. The proposed power management is effective when a service requires the joint interaction of many devices, however the interaction information is kept within the house environment.…”

Section: Related Workmentioning

confidence: 99%

Open Architecture to Raise Awareness of Energy Consumption on the Home Environment

Rodrigues

Resende

Sousa

et al. 2011

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. The climate changes as well as the sustainability of our energy supplies present multiple challenges and require a worldwide coordinated response. Europe 2020 is a jigsaw of policies and measures binding targets for 2020 to reduce greenhouse gas emissions by 20%, ensure 20% of renewable energy sources in the EU energy mix, and the reduction of EU global primary energy use by 20%. In the longer term, new generations of technologies have to be developed via breakthroughs in research if we are to meet the greater ambition of reducing our greenhouse gas emissions by 60-80% by 2050. The reduction of the primary energy use can be accomplished with mentality awareness of the home users. By educating ourselves and those around us, our negative behaviors can be changed, creating a culture of sustainability. In order to achieve this goal, we are suggesting an open architecture with a friendly visualization interface that can be used to raise the households inhabitants awareness of their power consumption. With the proposed architecture, energy consumption data can be stored in a remote server and can be further processed in order to extract the power consumption for each electrical appliance, opening the door to the development of service extensions to provide user-and context-aware advice on how to save energy.

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Section: Related Workmentioning

confidence: 99%

Open Architecture to Raise Awareness of Energy Consumption on the Home Environment

Rodrigues

Resende

Sousa

et al. 2011

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…The ROPM has knowledge of the average D time−lapse of the functional blocks that are required later, while the ROAL learns the time lapse D AL−time−lapse of the functional blocks that are required later in the service execution, described in formula (9). Formula (10) describes that at the beginning of the service, F B(i, j) that are required first are turned on upon the request t request (i, j, k).…”

Section: Ropm and Roal Power Managementmentioning

confidence: 99%

“…Their proposed solution only supplies power to the devices and the functional elements that are related to requested services [9]. In their approach, all functional elements are turned on at the beginning of the service, despite the fact that early functional modules are not needed at that time.…”

Section: Introductionmentioning

confidence: 99%

Refined Overlay Power Management in the Home Environment

Yan

Cousin

Gueguen

et al. 2014

2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and I

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Abstract-The reduction of power consumption plays a key role in numerous environmental and economic issues. Since home network appliances are widely used, residential power consumption makes up a large part of global energy consumption. These home appliances are not only interconnected with each other to provide collaborative services, but are also integrally turned on to contribute to these collaborative services. Faced with this situation, we propose a refined overlay power management system in which appliances can be partially turned on depending on the services, and can be turned on at the moment they are required. In addition, user activities are critical information for the service launch, and so the proposed system has the capacity to learn information about the collaborative service in order to provide efficient power management.

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“…This reduces power consumption by reconfiguring the power control elements of each device [10]. Nevertheless, this study does not take into account the consumption associated with network connections, necessarily active in the proposed model.…”

Section: Introductionmentioning

confidence: 99%

Green Home Network Based on an Overlay Energy Control Network

2013

Green Networking and Communications

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Today, reducing global greenhouse gas emissions has become a crucial issue for protecting the earth's environment. This requires the reduction of energy consumption in as many sectors as possible, including home networks. Indeed, in the home environment, networked devices consume a large proportion of household energy.There are three reasons that can explain the high energy consumption of home network devices. Firstly, devices are in idle state for hours when they are not in operation. Secondly, they cannot go to an ultra-low power consumption state when they are not needed. And last but not least, there is an increasing number of home network devices with soaring power consumption in our homes.These home network devices have a long switching time from idle state to sleeping state. Moreover, explicit user commands are required to switch the device from idle state to soft-off state. We can certainly gain energy if the device stays in sleeping state or soft-off state instead of idle state. We propose an Overlay Energy Control Network (OECN) which can switch devices from idle state to sleeping state much more quickly and from idle state to soft-off state automatically.The Overlay Energy Control Network (OECN) is formed by at least one overlay energy control node connected to each home network device. The OECN power management coordinates the power states of all home network devices. The overlay energy control nodes can exchange energy control messages. The devices can be turned on or turned off, or can return to their power states when they receive the OECN messages.So that the OECN can be adaptive to our home network devices, the OECN is developed in two ways: (i) all overlay energy control nodes in the home network are ZigBee nodes. This is a ZigBee Mandatory OECN Solution (ZMS); (ii) one or more devices become the overlay energy control nodes where there are no ZigBee modules on that device. This is a ZigBee Optional OECN Solution (ZOS).In our simulation, we will evaluate our overlay energy-saving solutions with a selfcontrolled energy solution in three metrics: energy consumption, delay and cost. In the selfcontrolled solution, the device controls its own power state.The proposed Overlay Energy Control Network provides an efficient energy-saving solution for home network devices. In our use case, the ZigBee Mandatory Solution can gain 21.79% energy on average compared to the self-controlled solution. It is an efficient energy-saving solution, but it has a relatively high delay compared to the ZigBee Optional Solution and the self-controlled solution.

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A Network Level Power Management for Home Network Devices

Cited by 7 publications

References 2 publications

Open Architecture to Raise Awareness of Energy Consumption on the Home Environment

Open Architecture to Raise Awareness of Energy Consumption on the Home Environment

Refined Overlay Power Management in the Home Environment

Green Home Network Based on an Overlay Energy Control Network

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