• 제목/요약/키워드: adaptive routing algorithm

검색결과 100건 처리시간 0.021초

무선 센서 네트워크에서 에너지 효율적인 퍼지 기반 적응형 라우팅 알고리즘 및 시뮬레이션 (Fuzzy based Energy-Efficient Adaptive Routing Algorithm for Wireless Sensor Networks)

  • 홍순오;조대호
    • 한국시뮬레이션학회논문지
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    • 제14권4호
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    • pp.95-106
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    • 2005
  • Recent advances in wireless sensor networks have led to many routing protocols designed for energy-efficiency in wireless sensor networks. Despite that many routing protocols have been proposed in wireless sensor networks, a single routing protocol cannot be energy-efficient if the environment of the sensor network varies. This paper presents a fuzzy logic based Adaptive Routing (FAR) algorithm that provides energy-efficiency by dynamically changing protocols installed at the sensor nodes. The algorithm changes protocols based on the output of the fuzzy logic which is the fitness level of the protocols for the environment. A simulation is performed to show the usefulness of the proposed algorithm.

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A Novel Globally Adaptive Load-Balanced Routing Algorithm for Torus Interconnection Networks

  • Wang, Hong;Xu, Du;Li, Lemin
    • ETRI Journal
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    • 제29권3호
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    • pp.405-407
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    • 2007
  • A globally adaptive load-balanced routing algorithm for torus interconnection networks is proposed. Unlike previously published algorithms, this algorithm employs a new scheme based on collision detection to handle deadlock, and has higher routing adaptability than previous algorithms. Simulation results show that our algorithm outperforms previous algorithms by 16% on benign traffic patterns, and by 10% to 21% on adversarial traffic patterns.

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적응 유전알고리즘을 이용한 배전계통 계획의 급전선 최적경로 선정 (An Adaptive Genetic Algorithm Based Optimal Feeder Routing for Distribution System Planning)

  • 김병섭;김민수;신중린
    • 대한전기학회논문지:전력기술부문A
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    • 제50권2호
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    • pp.58-66
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    • 2001
  • This paper presents an application of a newly designed Adaptive Genetic Algorithm (AGA) to solve the Optimal Feeder Routing (OFR) problem for distribution system planning. The main objective of the OFR problem usually is to minimize the total cost that is the sum of investment costs and system operation costs. We propose a properly designed AGA, in this paper, which can handle the horizon-year expansion planning problem of power distribution network in which the location of substation candidates, the location and amount of forecasted demands are given. In the proposed AGA, we applied adaptive operators using specially designed adaptive probabilities. we also a Simplified Load Flow (SLF) technique for radial networks to improve a searching efficiency of AGA. The proposed algorithm has been evaluated with the practical 32, 69 bus test system to show favorable performance. It is also shown that the proposed method for the OFR can also be used for the network reconfiguration problem in distribution system.

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패킷 방식 네트워크상의 적응적 경로 선정을 위한 군집체 특성 적용 하드웨어 구현 (Hardware Implementation of Social Insect Behavior for Adaptive Routing in Packet Switched Networks)

  • 안진호;오재석;강성호
    • 대한전자공학회논문지SD
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    • 제41권3호
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    • pp.71-82
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    • 2004
  • 생태계의 군집 특성을 네트워크 환경에 적용하여 급변하는 환경에 대한 자가 적응 및 생존 특성을 부여하는 연구가 최근 많은 주목을 받고 있다. 그 중 AntNet은 개미를 모델링한 모바일 에이젼트를 사용하여 최적의 네트워크 경로를 선택하는 적응적 라우팅 알고리즘이다. 본 논문에서는 SoC 시스템에 적용 가능한 AntNet 기반 하드웨어 구조를 제안한다. 제안된 구조는 기존 알고리즘 수준의 AntNet을 하드웨어 레벨로 근사화 하여 설계되었으며, 기존 AntNet과 가상 네트워크 구조에서의 비교를 통하여 그 타당성을 검증하였다. 그리고 RTL 수준의 설계 및 합성 결과를 통하여 제안된 하드웨어 구조가 AntNet 기반 라우팅 구현에 효과적임을 확인할 수 있었다.

K-ary n-cubes에서 가상채널을 사용한 적응적 웜홀 라우팅 (An Adaptive Wormhole Routhing using Virtual Channels in K-ary n-cubes)

  • 이성묵;김창수
    • 한국정보처리학회논문지
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    • 제4권11호
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    • pp.2732-2744
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    • 1997
  • 본 논문은 k-ary n-cubes에서 다중 전송에 기반을 두고 있으며, 결함허용과 채널 경쟁을 고려한 적응적 웜홀 라우팅 알고리즘을 제안한다. 제안된 알고리즘은 k-ary n-cube에서 차수 n에 대하여 (n-1)의 결함허용을 보장하기 위해 하나의 물리적 채널당 2n개의 가상채널을 사용한다. 이것은 결함허용을 고려한 기존의 적응적 라우팅 알고리즘보다 적은 수의 가상채널을 사용한다. 카오스 시뮬레이터를 이용하여 본 논문이 제안한 적응적 라우팅 알고리즘의 교통량과 결함허용을 고려한 메세지 지연도 함께 실험하였다.

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A Novel Adaptive Routing Algorithm for Delay-Sensitive Service in Multihop LEO Satellite Network

  • Liu, Liang;Zhang, Tao;Lu, Yong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권8호
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    • pp.3551-3567
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    • 2016
  • The Low Earth Orbit satellite network has the unique characteristics of the non-uniform and time-variant traffic load distribution, which often causes severe link congestion and thus results in poor performance for delay-sensitive flows, especially when the network is heavily loaded. To solve this problem, a novel adaptive routing algorithm, referred to as the delay-oriented adaptive routing algorithm (DOAR), is proposed. Different from current reactive schemes, DOAR employs Destination-Sequenced Distance-Vector (DSDV) routing algorithm, which is a proactive scheme. DSDV is extended to a multipath QoS version to generate alternative routes in active with real-time delay metric, which leads to two significant advantages. First, the flows can be timely and accurately detected for route adjustment. Second, it enables fast, flexible, and optimized QoS matching between the alternative routes and adjustment requiring flows and meanwhile avoids delay growth caused by increased hop number and diffused congestion range. In addition, a retrospective route adjustment requesting scheme is designed in DOAR to enlarge the alternative routes set in the severe congestion state in a large area. Simulation result suggests that DOAR performs better than typical adaptive routing algorithms in terms of the throughput and the delay in a variety of traffic intensity.

Routing Algorithm with Adaptive Weight Function based on Possible Available Wavelength in Optical WDM Networks

  • Pavarangkoon, Praphan;Thipchaksurat, Sakchai;Varakulsiripunth, Ruttikorn
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.1338-1341
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    • 2004
  • In this paper, we have proposed a new approach of routing and wavelength assignment algorithms, called Possible Available Wavelength (PAW) algorithm. The weight of a link is used as the main factor for routing decision in PAW algorithm. The weight of a link is defined as a function of hop count and available wavelengths. This function includes a determination factor of the number of wavelengths that are being used currently and are supposed to be available after a certain time. The session requests from users will be routed on the links that has the greatest number of link weight by using Dijkstra's shortest path algorithm. This means that the selected lightpath will has the least hop count and the greatest number of possible available wavelengths. The impact of proposed link weight computing function on the blocking probability and link utilization is investigated by means of computer simulation and comparing with the traditional mechanism. The results show that the proposed PAW algorithm can achieve the better performance in terms of the blocking probability and link utilization.

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Flow Holding Time based Advanced Hybrid QoS Routing Link State Update in QoS Routing

  • Cho, Kang Hong
    • 한국컴퓨터정보학회논문지
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    • 제21권4호
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    • pp.17-24
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    • 2016
  • In this paper, we propose a AH LSU(Advanced Hybrid QoS Routing Link State Update) Algorithm that improves the performance of Hybrid LSU(Hybrid QoS Link State State Update) Algorithm with statistical information of flow holding time in network. AH LSU algorithm has had both advantages of LSU message control in periodic QoS routing LSU algorithm and QoS routing performance in adaptive LSU algorithm. It has the mechanism that calculate LSU message transmission priority using the flow of statistical request bandwidth and available bandwidth and include MLMR(Meaningless LSU Message Removal) mechanism. MLMR mechanism can remove the meaningless LSU message generating repeatedly in short time. We have evaluated the performance of the MLMR mechanism, the proposed algorithm and the existing algorithms on MCI simulation network. We use the performance metric as the QoS routing blocking rate and the mean update rate per link, it thus appears that we have verified the performance of this algorithm.

Adaptive Differentiated Integrated Routing Scheme for GMPLS-based Optical Internet

  • Wei, Wei;Zeng, Qingji;Ye, Tong;Lomone, David
    • Journal of Communications and Networks
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    • 제6권3호
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    • pp.269-279
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    • 2004
  • A new online multi-layer integrated routing (MLIR) scheme that combines IP (electrical) layer routing with WDM (optical) layer routing is investigated. It is a highly efficient and cost-effective routing scheme viable for the next generation integrated optical Internet. A new simplified weighted graph model for the integrated optical Internet consisted of optical routers with multi-granularity optical-electrical hybrid switching capability is firstly proposed. Then, based on the proposed graph model, we develop an online integrated routing scheme called differentiated weighted fair algorithm (DWFA) employing adaptive admission control (routing) strategies with the motivation of service/bandwidth differentiation, which can jointly solve multi-layer routing problem by simply applying the minimal weighted path computation algorithm. The major objective of DWFA is fourfold: 1) Quality of service (QoS) routing for traffic requests with various priorities; 2) blocking fairness for traffic requests with various bandwidth granularities; 3) adaptive routing according to the policy parameters from service provider; 4) lower computational complexity. Simulation results show that DWFA performs better than traditional overlay routing schemes such as optical-first-routing (OFR) and electrical-first-routing (EFR), in terms of traffic blocking ratio, traffic blocking fairness, average traffic logical hop counts, and global network resource utilization. It has been proved that the DWFA is a simple, comprehensive, and practical scheme of integrated routing in optical Internet for service providers.

A Genetic-Algorithm-Based Optimized Clustering for Energy-Efficient Routing in MWSN

  • Sara, Getsy S.;Devi, S. Prasanna;Sridharan, D.
    • ETRI Journal
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    • 제34권6호
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    • pp.922-931
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    • 2012
  • With the increasing demands for mobile wireless sensor networks in recent years, designing an energy-efficient clustering and routing protocol has become very important. This paper provides an analytical model to evaluate the power consumption of a mobile sensor node. Based on this, a clustering algorithm is designed to optimize the energy efficiency during cluster head formation. A genetic algorithm technique is employed to find the near-optimal threshold for residual energy below which a node has to give up its role of being the cluster head. This clustering algorithm along with a hybrid routing concept is applied as the near-optimal energy-efficient routing technique to increase the overall efficiency of the network. Compared to the mobile low energy adaptive clustering hierarchy protocol, the simulation studies reveal that the energy-efficient routing technique produces a longer network lifetime and achieves better energy efficiency.