A pervasive network architecture featuring intelligent energy management of households

Tompros, Spyridon L.; Mouratidis, Nikolaos; Caragiozidis, Michael; Hrasnica, Halid; Gavras, Anastasius

doi:10.1145/1389586.1389673

Cited by 16 publications

(12 citation statements)

References 2 publications

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“…In [26], a home energy management system, based on a residential OSGi Gateway, is developed for reducing home energy consumption. Tompros et al proposed a network architecture that relies on an intelligent residential gateway to enable the programming of the energy consumption for the home devices [27].…”

Section: Related Workmentioning

confidence: 99%

A Power-Saving Technique for the OSGi Platform

Chen

Lin

Yan

et al. 2012

IEICE Trans. Inf. & Syst.

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SUMMARYWith more digital home appliances and network devices having OSGi as the software management platform, the power-saving capability of the OSGi platform has become a critical issue. This paper is aimed at improving the power-efficiency of the OSGi platform, i.e. reducing the energy consumption with minimum performance degradation. The key to this study is an efficient power-saving technique which exploits the runtime information already available in a Java virtual machine (JVM), the base software of the OSGi platform, to best determine the timing of performing DVFS (Dynamic Voltage and Frequency Scaling). This, technically, involves a phase detection scheme that identifies the memory phase of the OSGi-enabled device/server in a correct and almost effortless way. The overhead of the power-saving procedure is thus minimized, and the system performance is well maintained. We have implemented and evaluated the proposed power-saving approach on an OSGi server, where the Apache Felix OSGi implementation and the DaCapo benchmarks were applied. The results show that this approach can achieve real power-efficiency for the OSGi platform, in which the power consumption is significantly reduced and the performance remains highly competitive, compared with the other power-saving techniques.

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Section: Related Workmentioning

confidence: 99%

A Power-Saving Technique for the OSGi Platform

Chen

Lin

Yan

et al. 2012

IEICE Trans. Inf. & Syst.

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“…In the last years WSN in Building automation has gained more and more popularity with a special focus in energy savings [8,9]. Following this trend, home networks presence has also increased opening a new door to new applications and services that will improve the quality of life of the users.…”

Section: Wsns In Buildingsmentioning

confidence: 99%

Social issues of power harvesting as key enables of WSN in pervasive computing

Berzosa

Mabe

Grabham

et al. 2012

2012 IEEE International Conference on Pervasive Computing and Communications Workshops

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Abstract-Pervasive systems have gained popularity and open the door to new applications that will improve the quality of life of the users. Additionally, the implementation of such systems over an infrastructure of Wireless Sensor Networks has been proven to be very powerful. To deal with the WSN problems related to the battery of the elements or nodes that constitute the WSN, Power Harvesting techniques arise as good candidates. With PH each node can extract the energy from the surrounding environment. However, this energy source could not be constant, affecting the continuity and quality of the services provided. This behavior can have a negative impact on the user's perception about the system, which could be perceived as unreliable or faulty.In the current paper, some related works regarding pervasive systems within the home environment are referenced to extrapolate the conclusions and problems to the paradigm of Power Harvesting Pervasive Systems from the user perspective. Besides, the paper speculates about the approach and methods to overcome these potential problems and presents the design trends that could be followed.

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“…However, such agile architectural and functional characteristics have contributed negatively to the unnecessary energy and frequency channel utilisation [1]. Studies such as [3,4] have proposed several green strategies for wireless networking protocols in order to achieve efficient energy and spectrum consumption objectives. However, their designs have not recognised the stringent requirements of the heterogeneous wireless multi-radio multi-channel (MRMC) internet technologies such as scalability and autonomy.…”

Section: Introductionmentioning

confidence: 99%

Bio‐inspired energy and channel management in distributed wireless multi‐radio networks

Olwal

Masonta

Mekura

2014

IET Science, Measurement & Technology

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In the recent past, research in the next generation wireless heterogeneous broadband networks has favoured the design of multi-radio interface over the single radio interface architectures to support desirable features such as a self-organisation, selfconfiguration, reliability and robustness of network operations in a resource-constrained environment. However, such autonomous network behaviours have been seen to cause an inefficient consumption of energy and frequency channel resources, impacting negatively on the economy and environment. To address the inefficient energy and frequency channel utilisation problems, this study proposes a biological behaviour-based network resource management method. The research is inspired by such a well-established optimal foraging theory whereby a solitary biological forager in a random ecosystem makes optimal decisions that maximise its own nutrients consumption, survival probability and lifetime, whereas minimising possible risks associated with its own behaviour. This study has applied this natural principle and developed a Bio-inspired Energy and Channel (BEACH) management method. The BEACH method is aimed at achieving both efficient communication energy and frequency channel utilisation in the considered distributed wireless multi-radio network. The efficacy of the developed BEACH method has been extensively validated through computer simulations and shown to yield improved energy-efficiency and throughput performance.

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A pervasive network architecture featuring intelligent energy management of households

Cited by 16 publications

References 2 publications

A Power-Saving Technique for the OSGi Platform

A Power-Saving Technique for the OSGi Platform

Social issues of power harvesting as key enables of WSN in pervasive computing

Bio‐inspired energy and channel management in distributed wireless multi‐radio networks

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