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Sustainable declarative monitoring architecture: Energy optimization of interactions between application service oriented queries and wireless sensor devices - application to smart buildings

Başlık çevirisi mevcut değil.

  1. Tez No: 508626
  2. Yazar: ÖZGÜN PINARER
  3. Danışmanlar: Prof. ATİLLA BAŞKURT
  4. Tez Türü: Doktora
  5. Konular: Biyoteknoloji, Elektrik ve Elektronik Mühendisliği, Mekatronik Mühendisliği, Biotechnology, Electrical and Electronics Engineering, Mechatronics Engineering
  6. Anahtar Kelimeler: Belirtilmemiş.
  7. Yıl: 2017
  8. Dil: İngilizce
  9. Üniversite: Institut National des Sciences Appliquees de Lyon
  10. Enstitü: Yurtdışı Enstitü
  11. Ana Bilim Dalı: Belirtilmemiş.
  12. Bilim Dalı: Belirtilmemiş.
  13. Sayfa Sayısı: 174

Özet

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Özet (Çeviri)

Over the past decade, popular attention to smart building has increased. Smart building and sustainability are intertwined. Since traditional buildings are primary consumers of a significant portion of energy resources, we need smart buildings that are designed based on sustainable construction standards to consume less energy than traditional buildings and to minimize their impacts on the natural environment. Thus, smart buildings became one of the major application domains of pervasive environments. Smart building technology brings in some nice features such as security, comfort and accessibility. It can also enhance the energy consumption of the buildings. A basic smart building infrastructure consists of a set of wireless sensor devices. High energy consumption of these devices is the most challenging problem in this research area. These devices build the Wireless Sensor Network environment and are autonomous in terms of energy: their energy consumption determines their lifespan. Since the energy consumption has a strong impact on the lifetime of the service, there are several approaches in the literature. However, existing approaches are often fitted to a single monitoring application and rely on static configurations for sensor devices. A basic sensor device is responsible for data acquisition, transmission and reception (computation if requested). In this thesis, we study the monitoring system of a smart building that supports multi-application in a pervasive environment. We focus on a sustainable architecture for multi-application monitoring systems that continuously adapt to application requirements, context and user configuration. From data point of view, 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. Hence a multiple application system requires handling several data stream requests with different data acquisition/transmission frequencies for the same wireless sensor device and supporting dynamic requirements of applications (e.g. high transmission frequencies for occupied rooms, lower frequency during night). Since a static configuration can not optimize the energy consumption of the monitoring system with regards to actual application requirements, we work on intethe raction between the application requirements and the wireless sensor devices. Thus as a solution, we propose Smart- Service Stream-oriented Sensor Management (3SoSM), an approach to optimize interactions between application requirements and wireless sensor environment in real-time. Our 3SoSM approach performs energy-aware dynamic sensor device configuration to lower energy consumption while fulfilling real-time application requirements. It is based on a real-time sensor configuration that is derived from a scheduling time pattern. This time pattern is build by the acquisition, transmission and reception actions of the sensor device and it creates a periodic agenda for each sensor device. With this approach, we expect to avoid unnecessary data measurements and to promote shorter/compressed data transmission when possible. Besides, we present an optimization process to finalize the schedule time pattern. The aim of the optimization process is to search the optimal communication slots with which the sensor devices consume less energy than the other cases. During the optimization process, we pay attention to the constraints of each sensor device due to the given application requirements. Due to the constraint based behavior and to the tree structured topology of the network, the optimization process starts by propagating transmission and reception constraints based on latencies in a bottom-up process. Then, the algorithm tries to find the most energy efficient communication slots, and finally propagates those choices to lower-layers and continues the algorithm in a top-down process in the network topology. The optimization function of that process is to minimize the number of communication slots (RX slots) in order to minimize the consumed energy. The proposed optimization algorithm is a sort of greedy heuristic algorithm is employed to determine the optimal slots for sensor devices. The core concept of greedy algorithm is to perform a short-sighted action in each step. It starts from the reception part of the schedule table of sink device and tries to group the receptions from the same sensor device. In each step, an optimal communication slot is found and the step is repeated until all the reception data is matched with a slot. Furthermore, we present a set of experiments that we conducted with a wireless sensor network simulator to perform the presented scenarios. The results of each scenario is introduced and discussed. At the end of the experiments, the energy enhancement of different types of sensor devices are presented. With the approach presented in this thesis, we optimize the energy consumption and reduce the unnecessary communication cost. Obtained results on energy saving and lifetime extension depend on the application requirements and the context of the application.

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