• 제목/요약/키워드: Mitigate Congestion

검색결과 38건 처리시간 0.019초

CCDC: A Congestion Control Technique for Duty Cycling WSN MAC Protocols

  • Jang, Beakcheol;Yoon, Wonyong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권8호
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    • pp.3809-3822
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    • 2017
  • Wireless Sensor Networks hold the limelight because of significant potential for distributed sensing of large geographical areas. The radio duty cycling mechanism that turns off the radio periodically is necessary for the energy conservation, but it deteriorates the network congestion when the traffic load is high, which increases the packet loss and the delay too. Although many papers for WSNs have tried to mitigate network congestion, none of them has mentioned the congestion problem caused by the radio duty cycling of MAC protocols. In this paper, we present a simple and efficient congestion control technique that operates on the radio duty cycling MAC protocol. It detects the congestion by checking the current queue size. If it detects the congestion, it extends the network capacity by adding supplementary wakeup times. Simulation results show that our proposed scheme highly reduces the packet loss and the delay.

IoT 환경에서 컨테이너 터미널 혼잡도 완화방안 연구 (A Study on Mitigation of Container Terminal Congestion under IoT Environment)

  • 이장군;신재영
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2018년도 춘계학술대회
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    • pp.57-58
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    • 2018
  • 사물인터넷에 대한 관심이 증가하면서 사물인터넷을 활용하여 사물 간 주고받은 정보를 처리하는 기술들이 연구되고 있다. 특히 컨테이너 터미널이 자동화 됨에 따라 터미널 내에 사물인터넷의 사용이 증가하고 다양화되었다. 그러나 컨테이너 터미널 운영의 효율성을 향상시키기 위한 사물인터넷의 활용은 미흡한 단계이다. 현재 컨테이너 터미널은 외부 트럭의 도착패턴이 특정시간에 집중되는 현상이 나타난다. 이에 따라 게이트 혼잡이 발생하고 트럭의 대기시간에 영향을 준다. 이로 인해 항만 인근지역의 환경오염 문제, 사회적 문제 등으로 피해가 발생한다. 따라서 본 논문에서는 컨테이너 터미널의 게이트 혼잡도에 영향을 미치는 외부트럭의 대기시간 문제의 원인을 분석하고 사물인터넷 환경에서 이를 완화하기 위한 방안을 연구하고자 한다.

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Real-Time Road Traffic Management Using Floating Car Data

  • Runyoro, Angela-Aida K.;Ko, Jesuk
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제13권4호
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    • pp.269-276
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    • 2013
  • Information and communication technology (ICT) is a promising solution for mitigating road traffic congestion. ICT allows road users and vehicles to be managed based on real-time road status information. In Tanzania, traffic congestion causes losses of TZS 655 billion per year. The main objective of this study was to develop an optimal approach for integrating real-time road information (RRI) to mitigate traffic congestion. Our research survey focused on three cities that are highly affected by traffic congestion, i.e., Arusha, Mwanza, and Dar es Salaam. The results showed that ICT is not yet utilized fully to solve road traffic congestion. Thus, we established a possible approach for Tanzania based on an analysis of road traffic data provided by organizations responsible for road traffic management and road users. Furthermore, we evaluated the available road information management techniques to test their suitability for use in Tanzania. Using the floating car data technique, fuzzy logic was implemented for real-time traffic level detection and decision making. Based on this solution, we propose a RRI system architecture, which considers the effective utilization of readily available communication technology in Tanzania.

무선 센서 네트워크를 위한 클러스터 내 노드 밀도 기반 트랜스포트 프로토콜 (A Robust Transport Protocol Based on Intra-Cluster Node Density for Wireless Sensor Networks)

  • 백철헌;모상만
    • 대한임베디드공학회논문지
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    • 제10권6호
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    • pp.381-390
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    • 2015
  • The efficient design of a transport protocol contributes to energy conservation as well as performance improvement in wireless sensor networks (WSNs). In this paper, a node-density-aware transport protocol (NDTP) for intra-cluster transmissions in WSNs for monitoring physical attributes is proposed, which takes node density into account to mitigate congestion in intra-cluster transmissions. In the proposed NDTP, the maximum active time and queue length of cluster heads are restricted to reduce energy consumption. This is mainly because cluster heads do more works and consume more energy than normal sensor nodes. According to the performance evaluation results, the proposed NDTP outperforms the conventional protocol remarkably in terms of network lifetime, congestion frequency, and packet error rate.

NetDraino: Saving Network Resources via Selective Packet Drops

  • Lee, Jin-Kuk;Shin, Kang-G.
    • Journal of Computing Science and Engineering
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    • 제1권1호
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    • pp.31-55
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    • 2007
  • Contemporary end-servers and network-routers rely on traffic shaping to deal with server overload and network congestion. Although such traffic shaping provides a means to mitigate the effects of server overload and network congestion, the lack of cooperation between end-servers and network-routers results in waste of network resources. To remedy this problem, we design, implement, and evaluate NetDraino, a novel mechanism that extends the existing queue-management schemes at routers to exploit the link congestion information at downstream end-servers. Specifically, NetDraino distributes the servers' traffic-shaping rules to the congested routers. The routers can then selectively discard those packets-as early as possible-that overloaded downstream servers will eventually drop, thus saving network resources for forwarding in-transit packets destined for non-overloaded servers. The functionality necessary for servers to distribute these filtering rules to routers is implemented within the Linux iptables and iproute2 architectures. Both of our simulation and experimentation results show that NetDraino significantly improves the overall network throughput with minimal overhead.

Exploring reward efficacy in traffic management using deep reinforcement learning in intelligent transportation system

  • Paul, Ananya;Mitra, Sulata
    • ETRI Journal
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    • 제44권2호
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    • pp.194-207
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    • 2022
  • In the last decade, substantial progress has been achieved in intelligent traffic control technologies to overcome consistent difficulties of traffic congestion and its adverse effect on smart cities. Edge computing is one such advanced progress facilitating real-time data transmission among vehicles and roadside units to mitigate congestion. An edge computing-based deep reinforcement learning system is demonstrated in this study that appropriately designs a multiobjective reward function for optimizing different objectives. The system seeks to overcome the challenge of evaluating actions with a simple numerical reward. The selection of reward functions has a significant impact on agents' ability to acquire the ideal behavior for managing multiple traffic signals in a large-scale road network. To ascertain effective reward functions, the agent is trained withusing the proximal policy optimization method in several deep neural network models, including the state-of-the-art transformer network. The system is verified using both hypothetical scenarios and real-world traffic maps. The comprehensive simulation outcomes demonstrate the potency of the suggested reward functions.

THE OPPORTUNITIES AND CHALLENGES FOR CONTRACTUAL CONSIDERATION OF CONSTRUCTION-RELATED CARBON EMISSIONS FROM CIVIL INFRASTRUCTURE PROJECTS

  • Changbum Ahn;SangHyun Lee;Feniosky Pena-Mora
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.653-658
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    • 2011
  • Construction works of civil infrastructure projects generate a considerable amount of carbon emissions by utilizing a set of energy-intensive equipment and causing traffic congestion. However, the voluntary efforts of the contractor to mitigate these emissions are at an early stage. To address this issue, this paper explores the opportunities to take carbon emissions that would be caused from construction works into consideration in contracting methods and procedures. The opportunities for reducing carbon emissions from construction activities themselves are examined under the framework of Performance Contracting for Construction (PCfC), and carbon emissions from traffic congestion are attempted to be incorporated into the Road User Cost (RUC) calculation. This paper also identifies and discusses major challenges that must be confronted when considering the mitigation of these emissions in contracting methods and procedures.

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Mesoscopic Traffic Simulator를 이용한 고속도로 지정체 관리방안평가 (Evaluation of Freeway Congestion Management Using Mesoscopic Traffic Simulator)

  • 최기주;이승환
    • 한국시뮬레이션학회논문지
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    • 제10권3호
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    • pp.47-58
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    • 2001
  • Evaluation of Freeway Congestion Management Using Mesoscopic Traffic Simulator A mesoscopic simulation study to measure the effects of trip generation caused by rampant expansion of residential area around the Kyungbu corridor has been conducted. Some alternatives, which seem to be judgememtally plausible and technically feasible to mitigate such congestion, have been carefully examined and evaluated by the simulation model called INTEGRATION. Alternatives are mostly network improvements. Banpo IC dedicated ramp construction (A1), Seocho IC TSM based weaving elimination (A2), dedicated local and express separation over Seocho-Yangjae segment (A3), Heonleung IC (A4) and Daewang If installations (A5), Pangyo IC improvement (A6), Baikhyun IC (A7) and Dongbaek IC installations (A8) along with Shingal-Pangyo segment capacity addition (A9). The most capital intensive ones are A9, A5, and A4 in that order. A1, A6, A7, and A8 are short in distance but they are also capital intensive and need some construction periods. The least capital driven alternatives are h2 and A3, the h2 is easier to do, but A3 needs traffic diversion scheme during construction. The A1, A7, and A8 have been identified cost effective in terms of speed increase and travel time saving. Along with these results, some limitations and future research agenda regarding simulation have also been presented.

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Supply Margin Assessment를 이용한 도매전력시장의 시장지배력 예방에 관한 연구 (A Study on Market Power Mitigation Using Supply Margin Assessment)

  • 정해성;박종근;오태규
    • 대한전기학회논문지:전력기술부문A
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    • 제54권3호
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    • pp.139-143
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    • 2005
  • Several methods have been proposed to mitigate the market power in foreign electricity markets. In this paper, Hirfindahl-Hirschman Index(HHI) and supply margin assessment(SMA) are compared based upon the Korean future markets. The results show that SMA is better than HHI to estimate market power because it can reflect congestion and capacity reserve effectively.

혼잡관리 모형을 이용한 도시철도 이용객 동선유도시스템 기본설계 (Preliminary Design of a Urban Transit Passenger Guidance System Using Congestion Management Model)

  • 김광모;박희원;김진호;박용걸
    • 한국산학기술학회논문지
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    • 제16권5호
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    • pp.3610-3618
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    • 2015
  • 도시철도 차량 및 역사 내 혼잡도가 최고 220%를 나타내고 있다. 특히 방향별 동선의 충돌로 인해 보행자의 이동저항이 급속히 증가해 통행시간 증가, 안전사고 발생 등 도시철도 역사의 이용효율을 저해하는 요인으로 작용하고 있다. 이러한 문제를 해결하고자 본 논문에서 도시철도 이용객의 역사 내 이동속도 및 쾌적성 향상을 위한 혼잡관리 모형을 이용한 도시철도 이용객 동선유도시스템을 제안한다. 이를 위하여 반복혼잡/비반복혼잡을 고려할 수 있는 혼잡관리 모형을 구성하셨고, 미들웨어시스템, 제어시스템, 동선유도구동시스템으로 구성된 동선유도시스템의 기본설계를 수행하였다. 동선유도시스템은 외부데이터를 알고리즘에서 사용가능한 형태로 변경하는 미들웨어시스템 단계와 실시간 데이터 및 과거 데이터를 통해 혼잡관리 알고리즘을 수행하는 단계와, 산정된 혼잡관리 알고리즘을 기반으로 LED표시장치, 방향유도 표시기, 이동식 가이드레일 등을 제어하는 제어시스템의 단계와 제어시스템의 정보를 기반으로 LED표시장치, 방향유도 표시기, 이동식 가이드레일 등의 장치를 실제로 구동하는 동선유도 구동장치 단계와 이용자가 실제로 접하는 LED표시장치, 방향유도 표시기, 이동식 가이드레일 등의 동선유도장치로 이루어진다. 향후 본 기본설계를 기반으로 시스템의 상세설계를 통해 도시철도 역사의 구조 및 지점에 따른 다양한 동선유도장치의 시작품을 제작하고 이를 제어할 수 있는 동선유도제어 모듈을 개발할 예정이다.