Browsing by Subject "Energy efficient"
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Item Energy efficient target tracking with particle filtering technique in wireless sensor networks(2011) Alaybeyoglu A.In this study, a new target tracking algorithm is proposed for wireless sensor networks. The aim of the algorithm is to decrease energy consumption of the system by decreasing the ratio of target misses. Next location of the target is predicted by using Particle Filtering (PF) technique which aims to represent the posterior density function by a set of random samples with associated weights. Nodes are deployed according to the hexagon shaped network topology in which each of the hexagons represents a cluster with a predetermined leader node. In order to decrease the ratio of target misses, nodes that are closer to the target's predicted location are woken up to make them ready to detect the target. This increases the probability of detecting the target by one of the neighboring hexagons when the target makes sudden turns or unexpected movements. Tracking performance of the proposed algorithm is evaluated by comparing with KNearest Cluster Tracking (KNCT), Wakening Based Target Tracking Algorithm (WBTA)[10] and Generic Static Tracking Approach (GSTA) in terms of miss ratio and energy consumption metrics. © Association for Scientific Research.Item The evaluation of building materials in terms of energy efficiency(Budapest University of Technology and Economics, 2015) Yüksek Í.Buildings consume energy at different levels in every stage of the life-cycle. Building materials occupy a great share of this consumption. Therefore, the amount of energy consumed by materials used in building during their life cycle is an important parameter in determining the energy efficiency of the building. In this study, the importance of energy- efficient material selection in designing “Energy-Efficient Building” is considered and discussed. It is possible to evaluate some building materials in Turkey in the framework of energy efficient building material criteria. This information is considered as a guide for users and employees of the building sector. As a result of the study, the selection of building material and energy efficient features of building materials are important parameters for the provision of energy efficiency. © 2015, Technical University of Budapest. All rights reserved.Item The evaluation of fired clay brick production in terms of energy efficiency: a case study in Turkey(Springer Science+Business Media B.V., 2020) Yüksek İ.; Öztaş S.K.; Tahtalı G.High energy consumption in building material production has a significant effect on global warming and other environmental pollution, which has brought into prominence building materials whose production consumes less energy and uses renewable energy sources. In particular, the production phase of brick, a commonly used material in building construction, has an important effect on energy consumption. This study aims to obtain and analyse local energy data in each phase of brick production, compare the energy consumption of local brick factories using different kiln types in Turkey, and contribute to the development of processes for energy-efficient brick production. For this purpose, all the necessary energy data were collected from two factories, one of which uses a Hoffman and the other a tunnel kiln in the system boundary from cradle-to-gate. The local energy data were analysed for the two factories on the assumption that they would reflect the data for the same or similar brick production methods and technologies in Turkey, and this local data and data gathered from the literature were compared in terms of energy consumption. The findings point out that while most energy is consumed during the firing process in both factories, the tunnel factory consumes more energy in total than the Hoffman factory because of the clay preparation process and the calorific value and moisture content of the coal used for firing. The study also reveals that the potential exists for energy efficiency gains in brick production in Turkey. © 2020, Springer Nature B.V.Item Energy-efficiency maximization for multi-antenna OFDMA networks; [Çok antenli DFBÇE aǧlari için enerji verimliliǧi maksimizasyonu](Institute of Electrical and Electronics Engineers Inc., 2021) Basturk I.Energy efficient or green communication has been one of the most important targets of the next generation communication systems in the last years because of the massive energy usage. In the light of these targets, energy efficient communication is studied for the multi-antenna Orthogonal Frequency Division Multiple Access (OFDMA) cellular networks in this study. Energy efficiency maximization problem is defined by considering the quality of service requirements of the users. A solution which allocates sub-bands and power disjointly is proposed for this complex Mixed-integer non-linear programming (MINLP) type problem, which is in the fractional form and contains not only discrete but also continuous parameters. The performance of the proposed solution is evaluated by using simulation results. © 2021 IEEE.Item Two-layered blockchain-based admission control for secure UAV networks(Turkiye Klinikleri, 2022) Erel-Özçevi M.The frequent replacement requirement of UAVs for recharging outputs an extreme number of messaging for admission control of end-users. There are many studies that try to optimize the network capacity in an energy-efficient manner. However, they do not consider the security of data and control channels, which is the urgent requirement of 5G. Blockchain handles secure systems. However, the high numbered transactions in blockchain may cause bottlenecks while considering computational delay and throughput of end-user. In UAVs, a high percentage of battery is consumed for computational tasks instead of communication tasks. Therefore, to handle security by considering the computational needs, this paper proposes a novel two-layered blockchain-based admission control in UAV networks. It has two layers named as side-chain for UAVs and off-chain for end-users building in a decentralized manner. In the former one, the data bearer of end-users is protected by the side-chain of each transaction which is signed by admitted end-users and UAVs. Here, each transaction includes a unique transaction id, nonce value, IMSI of the user, RNTI of UAV, signed data, and hash value. In the latter one, the off-chain is built by signing admission contracts between users in a decentralized manner and the Merkle tree is constructed for the off-chain where the root hash is only stored in a side-chain. Then, the number of transactions that should be validated is extremely decreased. Moreover, PoS is used for the validation of transactions where the validator is selected randomly instead of the competition requirement as in PoW. A novel blockchain-based admission control algorithm isolates readmission control of end-users to 5G core-side during UAV replacement. According to performance evaluation, the proposed approach serves end-users by 64.2% better QoS than the conventional one during UAV replacement. Moreover, it keeps edge delay in acceptable range by using Merkle tree and PoS. © TÜBITAK.Item Energy-Aware Task Scheduling for Digital Twin Edge Networks in 6G(Institute of Electrical and Electronics Engineers Inc., 2023) Bozkaya E.; Bilen T.; Erel-Ozcevik M.; Ozcevik Y.With the recent surge in the Internet of Things (IoT) devices and applications, computation offloading services in Mobile Edge Computing (MEC) have provided the significant potential to upcoming 6G networks for a better Quality of Service (QoS). However, IoT devices are typically resource and energy-constrained, so this challenge can be compensated by incorporating energy-efficient approaches into the solution. Digital Twin is a candidate technology to reshape the future of the industry and energy-efficiently manage tremendous growth in data traffic at the network edge. Thus, we propose a Digital Twin Edge Network (DTEN) architecture for energy-aware task scheduling. More specifically, we formulate an energy optimization problem and identify a set of computation strategies to minimize both the task processing time and energy consumption. Due to being NP-hard, we compare it by Warehouse Location Problem (WLP) and solve it with the genetic algorithm-based approach in an energy and time-efficient manner. To achieve these, we present our digital twin-assisted energy-aware task scheduling algorithm by using both real-time and historical data in virtualization and service layers. After this, IoT devices can compute their tasks locally or offload to the edge/cloud server with the assistance of digital twins of the physical assets. Simulations are carried out to show the superiority of the proposed energy-aware task scheduling algorithm in terms of the task processing time and consumed energy in DTEN. © 2023 IEEE.Item Adaptation of Symbolic Discrete Control Synthesis for Energy-Efficient Multi-Pocket Milling(Multidisciplinary Digital Publishing Institute (MDPI), 2024) Çaşka S.; Özbaltan M.In engineering, cost minimization, especially in Computer Numerical Control (CNC) machining like pocket milling, is crucial. Existing tool path definition software often lacks optimization, particularly at critical starting and ending points. This study optimizes CNC machine tool paths for energy-efficient multi-pocket milling, utilizing the Symbolic Discrete Control Synthesis (SDCS) method for formal correctness. In our work, the tool path generation is formulated as a traveling salesman problem. We introduce a modeling framework to adapt SDCS to multi-pocket-milling processes, aiming to enhance precision and efficiency for potential cost savings, including energy and time, in engineering applications. This study reports experimental and comparative results, where comparative evaluations were made using metaheuristic algorithms. Our proposed approach improves CNC machining processes for multi-pocket milling. We experimentally evaluate our control algorithms and demonstrate and validate our approach through case studies. © 2024 by the authors.