Improving the Energy Efficiency of Wearable Computing Units Using on Sensor Fifo Memory

International audienceProliferation of wearable devices with wide spectrum of sensing capabilities together with commercial availability has increased the applicability of ambient intelligence concepts in practical system designs. Being wearable enforces extra constraints in terms of form factor and weight that limit the computational properties and the battery lifetime. There has been increasingly many number of studies for the energy efficiency of embedded and mobile hardware platforms. Due to the known techniques, increasing the energy consumption of an embedded system inherently requires some components to go into the low energy modes with a certain pattern, which in turn entails performance penalties at the application level. Existing solutions for increasing energy efficiency mainly focus only on a certain component of the system, such as hardware, networking firmware and try to achieve energy efficiency without considering the state the application is dynamically in. In this study, the critical balance between energy efficiency and application performance is handled. Application feedback is merged with energy efficiency and according to the application performance, duty cycle mechanism can be configured dynamically. A memory unit (FIFO) of the sensing component is also involved into the dynamic sleep scheduling mechanism in order to process latest sampled data while microprocessor and radio module of the sensor devices are in sleep mode. In this context, one of the fundamental implementations of ambient application which is based on triaxial accelerometer signal, pedometer is performed. Experiments realized on the dataset proved that it exists an interval where energy efficiency is obtained without degrading application performance under critical level and also usage of FIFO showed a significant impact on application performance and energy gain

Addressing the Challenges in Federating Edge Resources

This book chapter considers how Edge deployments can be brought to bear in a global context by federating them across multiple geographic regions to create a global Edge-based fabric that decentralizes data center computation. This is currently impractical, not only because of technical challenges, but is also shrouded by social, legal and geopolitical issues. In this chapter, we discuss two key challenges - networking and management in federating Edge deployments. Additionally, we consider resource and modeling challenges that will need to be addressed for a federated Edge.Comment: Book Chapter accepted to the Fog and Edge Computing: Principles and Paradigms; Editors Buyya, Sriram

Dynamic Capacity Enhancement using Air Computing: An Earthquake Case

Earthquakes are one of the most destructive natural disasters harming life and the infrastructure of cities. After an earthquake, functioning communication and computational capacity are crucial for rescue teams and healthcare of victims. Therefore, an earthquake can be investigated for dynamic capacity enhancement in which additional resources are deployed since the surviving portion of the infrastructure may not meet the demand of the users. In this study, we propose a new computation paradigm, air computing, which is the air vehicle assisted next generation edge computing through different air platforms, in order to enhance the capacity of the areas affected by an earthquake. To this end, we put forward a novel paradigm that presents a dynamic, responsive, and high-resolution computation environment by explaining its corresponding components, air layers, and essential advantages. Moreover, we focus on the unmanned aerial vehicle (UAV) deployment problem and apply three different methods including the emergency method, the load balancing method, and the location selection index (LSI) method in which we take the delay requirements of applications into account. To test and compare their performance in terms of the task success rate, we developed an earthquake scenario in which three towns are affected with different severity. The experimental results showed that each method can be beneficial considering the circumstances, and goal of the rescue.Comment: 10 pages, 7 figure

HAREKETE UYUM SAGLAYABİLEN DİNAMİK UYKU ÇİZELGELEMESİ

International audienceAbstract-Ambient Intelligence is one of the research area where wireless sensor devices are commonly used. Main idea of these applications is to monitor and recognize people's indoor or outdoor activities. In this study, we focus on one of the major problem of WSN which is energy consumption in a different way from the existing approaches in the literature. With the proposed approach, it is shown that it is possible to create a dynamic sleep scheduling mechanism for each recognized activity. In contrast to previous studies found in the literature review, in our perspective, a holistic approach which takes component and application level into account is proposed, therefore energy consumption and the ways for improving lifetime of node and the network are handled. Main aim is to find a suitable region where application can work with tolerable performance degradation meanwhile lifetime of the sensor is extended by decreasing energy consumption. Proposed approach is tested on accelerometer signal of walking activity. It is shown that it exists a region where application performance and energy gain are suitable.Özetçe-Algılayıcı dügümlerin günümüzde en sık kullanıldıgı alanların başında çevresel zeka uygulamaları gelmektedir. Bu uygulamalardaki amaç, kişinin hareketlerini takip edebilmek, analiz edip kişiye özel çıkarımlarda bulunabilmektir. Bu çalış-mada çevresel zeka uygulamalarının en temel bileşeni olan algılayıcı dügümlerin enerji tüketimi problemine literatürdeki klasik çözüm önerilerinden farklı birşekilde yaklaşılmıştır. Öner-ilen yaklaşım ile algılanan hareket bilgisine baglı olarak algılayıcı dügüm üzerinde uyku döngüsü dinamik olarak çalıştırılmaktadır. Bu yaklaşımdaki amaç, literatürdeki diger benzer çalışmaların aksine algılanan fiziksel işaret, algılayıcı dügüm ayarlarını ileriye yönelik dinamik olarak güncellemede kullanacakşekilde bütünsel bir yapı kurmaktır. Elde edilmek istenilen sonuç ise uygulama başarımında tolere edilebilir bir olası düşüş karşılıgında enerji verimi açısından önemli derecede kazanç elde edilebiliecek bir çalışma alanı oldugunu göstermektir. Çalışmada sunulan bu yaklaşım, 3 boyutlu ivme işareti üzerinde test edilmiş olup ve bu bildiride sunulmuştur. Deneyler sonucunda, hem enerji veriminin hem de hareket izleme algoritma başarımının yüksek oldugu çalışma alanları tespit edilmiştir. Anahtar Kelimeler-çevresel zeka uygulamaları, kablosuz haberleşme, gömülü sistemler, işaret işlem

Characterization of mobile applications according to their energy consumptions

International audienc

Application-Aware Dynamic Energy Management for Portable Devices

International audienc

Gerçek Zamanlı Çoklu Uygulama Destekli Algılayıcı Veri Akışı Yönetimi

International audienceSmart building management systems become very popular research topics due to high energy consumption of buildings in developed countries. Proposed approaches in the literature commonly focus on smart building energy management systems to improve this high consumption and on network communications between deployed devices. However, these approaches are specialized for a single monitoring application, and adopt static wireless sensor device configurations. In this study, we focus on the energy and lifetime of the monitoring architecture itself. We consider a monitoring system as a set of applications that exploit sensor measures in real-time, where these applications are declaratively expressed as (service-oriented) continuous queries over sensor data streams. We tackle the optimization of interactions between application real-time requirements for data and wireless sensor devices that produces those data. In this context, we present a novel approach, an energy-aware dynamic sensor configuration mechanism for a sustainable declarative monitoring architecture that can support multiple applications. We first introduce formalization of application requirements and sensor configuration based on data acquisition/transmission and continuous stream queries. We then propose a self-adaptive energy-aware algorithm that dynamically generates optimized sensor configurations based on real-time query requirements. We also present a Smart-Service Stream-oriented Sensor Management (3SoSM) Gateway that optimizes sensor configurations and manages sensor data streams. Finally, we present a set of experiments we conducted with a wireless sensor network simulator and with a real Smart Building platform.Özetçe-Akıllı bina izleme sistemleri birden fazla uygu-lamanın bir algılayıcı ag altyapısını ortak kullanarak çalıştıgı karmaşık yapılar olarak ortaya çıkmaktadır. Literatürdeki çalış-malar, binaların enerji tüketimini iyileştirmeye ve akıllı bina enerji yönetim sistemleri üzerine yogunlaşmıştır. Bu çalışmalarda önerilen çözümler çogunlukla uygulama tabanlı olup, sabit kablo-suz ag yapılandırmasını benimsemektedir. Bu bildiride, akıllı bina enerji tüketimi izleme mimarisinin kendisinin enerjisi üzerine yogunlaşılmıştır.İzleme sistemimizi gerçek zamanlı algılayıcı dügüm verilerini kullanan uygulamaların bütünü oluşturmak-tadır. Bu uygulamalar, algılayıcı dügüm veri akışları üzerinde servise yönelik sürekli sorgularşeklinde ifade edilmektedir. Çalış-mamızda, gerçek zamanlı uygulama gereksinimleri ile algılayıcı dügümler arasındaki etkileşimi iyileştirmek hedef alınmıştır ve çoklu uygulamalar için enerji farkında dinamik dügüm yöne-timi önerilmiştir. Bildiride veri örnekleme ve gönderim sıklıgı degişkenleri temelli algılayıcı dügümşekillendirilme işlevi an-latılmıştır. Ardından, uygulama gereksinimden yola çıkan di-namik enerji farkında dügüm yapılandırma algoritması sunul-muştur. Bu işlemleri gerçekleştiren, algılayıcı dügüm yapılandır-masını dinamik olarak iyileştiren ve veri akışlarını yöneten Akıllı-Servis Akışa-Yönelik Algılayıcı Yönetim (3SoSM) katmanı ortaya konmuştur. Önerilen yaklaşım, gerçekleştirilen akıllı bina senaryoları ile test edilmiş, sonuçları incelenip tartışılmıştı