• 한국정보기술학회 영문논문지
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• 제10권1호
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• pp.57-69
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• 2020

In general, many IoT devices, including smart phones, use LTE, Wi-Fi, and Bluetooth, and these communication modules generate a lot of energy consumption during periodic data transmission. This paper proposes a method of the data transmission mode change for improving energy efficiency in various communication environments that mobile devices may encounter. We propose an algorithm for setting the mode considering energy efficiency, data transmission performance and cost when the mobile device transmits data, and transmitting the data in an optimized manner according to the state of the mobile device. The proposed algorithm is implemented through experiments on energy efficiency for each communication module, and the scenario is used to verify how efficiently the proposed algorithm uses energy.

• 반도체디스플레이기술학회지
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• 제19권1호
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• pp.23-28
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• 2020

In Smart mobile devices embedding big.LITTLE architectures, the conventional multi-core assignment scheme for user applications may incur wasteful energy consumption and long response time. In this paper, we propose a user experience assisted energy-efficient multicore assignment scheme. Our simulation results show that the proposed scheme achieves at 40% less energy consumption and at 20% less response time comparing to the legacy scheme.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권9호
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• pp.4044-4062
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• 2016

We investigate the optimization of energy consumption in Mobile Cloud environment in this paper. In order to optimize the energy consumed by the CPUs in mobile devices, we put forward using the asymptotic time complexity (ATC) method to distinguish the computational complexities of the applications when they are executed in mobile devices. We propose a multi-scale scheme to quantize the channel gain and provide an improved dynamic transmission scheduling algorithm when offloading the applications to the cloud center, which has been proved to be helpful for reducing the mobile devices energy consumption. We give the energy estimation methods in both mobile execution model and cloud execution model. The numerical results suggest that energy consumed by the mobile devices can be remarkably saved with our proposed multi-scale scheme. Moreover, the results can be used as a guideline for the mobile devices to choose whether executing the application locally or offloading it to the cloud center.

• ETRI Journal
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• 제44권5호
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• pp.746-758
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• 2022

This paper focuses on a mobile edge-computing-enabled heterogeneous network. A battery level-aware task-scheduling framework is proposed to improve the energy efficiency and prolong the operating hours of battery-powered mobile devices. The formulated optimization problem is a typical mixed-integer nonlinear programming problem. To solve this nondeterministic polynomial (NP)-hard problem, a decomposition-based task-scheduling algorithm is proposed. Using an alternating optimization technology, the original problem is divided into three subproblems. In the outer loop, task offloading decisions are yielded using a pruning search algorithm for the task offloading subproblem. In the inner loop, closed-form solutions for computational resource allocation subproblems are derived using the Lagrangian multiplier method. Then, it is proven that the transmitted power-allocation subproblem is a unimodal problem; this subproblem is solved using a gradient-based bisection search algorithm. The simulation results demonstrate that the proposed framework achieves better energy efficiency than other frameworks. Additionally, the impact of the battery level-aware scheme on the operating hours of battery-powered mobile devices is also investigated.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권12호
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• pp.6152-6168
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• 2017

Recently, the biometric-based authentication systems such as FIDO (Fast Identity Online) are increased in mobile computing environments. The biometric-based authentication systems are performed on the mobile devices with the battery, the improving energy efficiency is important issue. In the case, the size of images (i.e., face, fingerprint, iris, and etc.) affects both recognition accuracy and energy consumption, and hence the tradeoff analysis between the both recognition accuracy and energy consumption is necessary. In this paper, we propose an energy-efficient way to authenticate based on biometric information with tradeoff analysis between the both recognition accuracy and energy consumption in multimedia IoT (Internet of Things) transmission environments. We select the facial information among biometric information, and especially consider the multicore-based mobile devices. Based on our experimental results, we prove that the proposed approach can enhance the energy efficiency of GABOR+LBP+GRAY VALUE, GABOR+LBP, GABOR, and LBP by factors of 6.8, 3.6, 3.6, and 2.4 over the baseline, respectively, while satisfying user's face recognition accuracy.

• 한국정보과학회논문지:정보통신
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• 제33권5호
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• pp.369-379
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• 2006

최근 기지국(Base Station)의 도움 없이 이동 단말기(Mobile Device) 간의 다중 무선 홉을 사용하여 송수신자 간의 데이타 전송을 가능하게 하는 Ad-hoc 통신망에 관한 연구가 활발히 진행되고 있다. 현재 인터넷 상에서 광범위하게 사용되고 있는 전송 규약인 TCP(Transmission Control Protocol)는 수동적인 혼잡 제어(Reactive Congestion Control)방식을 사용하여 망의 혼잡으로 인한 패킷 손실 발생 이전까지 혼잡 윈도우의 크기를 증가시킨다. 따라서 반복적인 혼잡과 그로 인한 패킷 손실로 인해 재전송을 반복하게 된다. 이와 같이 기존 TCP는 Ad-hoc 통신망에서 동작하는 이동 단말의 한정된 배터리 전원을 고려하지 않고 동작하기 때문에 이동 단말의 에너지를 불필요하게 낭비하는 문제를 가지게 된다. 본 논문은 Ad-hoc 통신망에서 이동 단말의 에너지 효율을 개선하기 위해 불필요한 재전송 방지 및 망상태에 따라 전송률을 적절하게 조절하는 새로운 혼잡 제어 기법인 TCP-New Veno를 제안하였다. 제안한 TCP-New Veno는 이동 단말의 에너지 효율 및 대역폭의 사용률(Utilization)을 향상시킬 있도록 설계되었다. 또한 ns-2 시뮬레이터를 이용한 실험을 통해 제안한 TCP-New Veno에 의해 이동 단말의 에너지 효율이 향상되었음을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권5호
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• pp.1587-1605
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• 2015

Mobile cloud computing (MCC) combines mobile Internet and cloud computing to improve the performance of applications. In MCC, the data processing and storage for mobile devices (MDs) is provided on the remote cloud. However, MCC faces the problem of energy efficiency caused by randomly varying channels. In this paper, by introducing the Lyapunov optimization method, we propose a combined service subscription and delivery (CSSD) algorithm that can guide the users to subscribe to services reasonably. This algorithm can also determine whether to deliver the data and to whom data is sent in the current time unit based on the queue backlog and the channel state. Numerical results validate the correctness and effectiveness of our proposed CSSD algorithm.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권6호
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• pp.2144-2159
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• 2015

CISCO VNI predicted an average annual growth rate of 66% for mobile video traffic between 2014 and 2019 and accordingly much academic research related to video streaming has been initiated. In video streaming, Adaptive Bitrate (ABR) is a streaming technique in which a source video is stored on a server at variable encoding rates and each streaming user requests the most appropriate video encoding rate considering their channel capacity. However, these days, ABR related studies are only focusing on real-time rate adaptation omitting energy efficiency though it is one of the most important requirement for mobile devices, which may cause dissatisfaction for streaming users. In this paper, we propose an energy efficient prefetching based dynamic adaptive streaming technique by considering the limited characteristics of the batteries used in mobile devices, in order to reduce the energy waste and provide a similar level of service in terms of the average video rate compared to the latest ABR streaming technique which does not consider the energy consumption. The simulation results is showing that our proposed scheme saves 65~68% of energy at the average global mobile download speed compared to the latest high performance ABR algorithm while providing similar rate adaptation performance.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제5권5호
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• pp.209-220
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• 2016

최근 스마트폰, 태블릿과 같은 기기의 사용량이 증가하면서, 이에 탑재되는 소프트웨어는 더욱 복잡해지고 규모가 커지고 있다. 배터리의 전력으로 구동되는 모바일 기기들은 전력 공급의 한계로 인해 운용시간을 증가시키는 것이 중요한 이슈이다. 최근에는 소프트웨어 동작이 하드웨어 구동을 통해 전력 소모를 일으킨다는 점에서, 효율적인 동작 패턴을 갖는 소프트웨어 개발에 대한 연구들이 진행되고 있다. 그러나 모바일 기기에 탑재되는 소프트웨어는 그 개발 주기가 짧은 경우가 많아 최적화와 전력 소모량을 반영하기 어려운 경우가 많다. 따라서 본 연구에서는 소모전력 절감을 위한 코드 리팩토링 기법을 제안하여, 소프트웨어 개발 및 유지보수에서 보다 용이하게 저전력 요구사항을 충족시키고자 한다. 이를 위해 전력 소모량을 감소시킬 수 있는 코드 패턴에 대하여 Energy Bad Smell을 식별하고, 이를 제거하기 위한 새로운 코드 리팩토링 기법을 제안하며, 실험을 통해 그 효용성을 검증하였다.

• 인터넷정보학회논문지
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• 제8권3호
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• pp.57-63
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• 2007

분산 무선 네트워크에서 작업을 수행하기 위해서는 이동 단말기에 안정적인 전원의 공급이 필수적인 요소이다. 본 논문에서는 무선 네트워크에서 작업을 수행하기에 제한적인 조건인 전원문제의 해결을 위해서 모바일 단말기들의 이동성 관리를 통한 분산 작업을 효율적으로 수행하는 방안을 제시하였다. 에너지 사용량은 통계모델을 통하여 분석할 수 있으며, 또한 이동성 관리를 통해서 모바일 단말기 내에서 분산작업 수행시에 필요한 에너지 필요량을 예측할 수 있다. 그러므로 본 논문을 통하여 정규적인 이동성을 가지는 이동 단말기들을 통하여 안정적으로 분산 작업을 수행할 수 있는 알고리즘 및 그 유효성을 제시하였다.