• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2001년도 봄 학술발표논문집 Vol.28 No.1 (A)
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• pp.412-414
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• 2001

현재 인터넷 사용자의 증가와 더불어 사용자들이 원하는 서비스가 다양해지고 있다. 현재 인터넷이 사용하는 라우팅 프로토콜은 최단 경로(Shortest Path)만을 계산하기 때문에 혼잡이 빈번하게 발생하므로 사용자들이 요구하는 서비스를 제공 할 수 없다. 이런 문제를 해결하기 위해 트래픽 엔지니어링 기법이 등장하게 되었다. 본 논문에서는 MPLS(Multiprotocol Label Switching)에 정의된 트래픽 엔지니어링 기술들, 명시적 라우팅(Explicit Routing), 트래픽 통합(Traffic Aggregation), 제약기반 라우팅(Constraint-based Routing), 부하균등(Load Routing)을 시뮬레이터를 구현하였고, 이 시뮬레이터를 이용하여 각 트래픽 엔지니어링의 기술적 QoS의 제공 정보와 문제점을 분석하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1317-1341
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• 2021

Nowadays, the Internet of Things (IoT) is adopted to enable effective and smooth communication among different networks. In some specific application, the Wireless Sensor Networks (WSN) are used in IoT to gather peculiar data without the interaction of human. The WSNs are self-organizing in nature, so it mostly prefer multi-hop data forwarding. Thus to achieve better communication, a cross-layer routing strategy is preferred. In the cross-layer routing strategy, the routing processed through three layers such as transport, data link, and physical layer. Even though effective communication achieved via a cross-layer routing strategy, energy is another constraint in WSN assisted IoT. Cluster-based communication is one of the most used strategies for effectively preserving energy in WSN routing. This paper proposes a Bio-inspired cross-layer routing (BiHCLR) protocol to achieve effective and energy preserving routing in WSN assisted IoT. Initially, the deployed sensor nodes are arranged in the form of a grid as per the grid-based routing strategy. Then to enable energy preservation in BiHCLR, the fuzzy logic approach is executed to select the Cluster Head (CH) for every cell of the grid. Then a hybrid bio-inspired algorithm is used to select the routing path. The hybrid algorithm combines moth search and Salp Swarm optimization techniques. The performance of the proposed BiHCLR is evaluated based on the Quality of Service (QoS) analysis in terms of Packet loss, error bit rate, transmission delay, lifetime of network, buffer occupancy and throughput. Then these performances are validated based on comparison with conventional routing strategies like Fuzzy-rule-based Energy Efficient Clustering and Immune-Inspired Routing (FEEC-IIR), Neuro-Fuzzy- Emperor Penguin Optimization (NF-EPO), Fuzzy Reinforcement Learning-based Data Gathering (FRLDG) and Hierarchical Energy Efficient Data gathering (HEED). Ultimately the performance of the proposed BiHCLR outperforms all other conventional techniques.

• 정보처리학회논문지A
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• 제8A권3호
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• pp.269-278
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• 2001

자동배선 시스템의 배선영역 모델링 방법은 그리드와 논 그리드 방식을 사용하고 있다. 그리드 방식은 PCB상에 전기적, 물리적 요소들이 적다 할지라도 보드와 그리드의 크기에 제약을 받기 때문에 자동배선 속도를 감소시키는 단점을 가지고 있다. 따라서 메모리 용량을 증가 시키게 된다. 논 그리드 방식(Shape based type)은 영역처리 방식을 사용하며, 배선영역에서 그리드 방식보다 44.2% 메모리 감소효과가 있다. 따라서 Via 수는 55.5%의 감소 효곽가 있으며, 총 배선 시간도 기존 PCB시스템보다 83.3% 향상되었다. 본 논문에서는 단일 원점에서 여러 목적지에 가장 빠르게 도달 할 수 있고 최단 경로 문제를 해결하는 auction 알고리즘을 적용한 Shape based 방식에 의하여 메모리 낭비 없이 빠른 속도로 자동 배선할 수 있는 PCB 자동 배선 시스템을 개발하였다. 또한 본 시스템은 IBM Pentium 컴퓨터 Windows 환경에서 Visual C++언어로 개발하였으며 다른 PC 와도 호환성을 가질수 있도록 개발 하였다.

• 한국통신학회논문지
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• 제28권11B호
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• pp.972-984
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• 2003

본 논문에서는 MPLS 네트워크에서 LSP 설정에 적용될 수 있는 새로운 대역폭 보장 온라인 라우팅 알고리즘들을 제안하고 기존의 알고리즘들과 함께 그 성능을 시뮬레이션을 통해서 평가한다. 제안된 방식은 기존의 WSP나 SWP 알고리즘을 K-shortest loopless path 알고리즘에 기초해서 확장시킨 형태를 가진다. 시뮬레이션을 통해서 accepted bandwidth, accepted request number 그리고 average path length라는 성능을 평가한 결과, 모든 노드들이 LSP 설정의 ingress나 egress 노드가 될 수 있는 상황에서 제안된 방식들이 전반적으로 우수한 성능을 보였는데 네트워크 부하가 큰 경우에는 특히, 최소 홉 경로에 기초한 방식들이 좋은 성능을 보임을 알 수 있다.

• 한국통신학회논문지
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• 제21권1호
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• pp.91-102
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• 1996

ATM(asynchronous transfer mode)망에서 멀티미디어 트래픽이 효율적으로 전송되기 위해서는 전송되는 트래픽의 특성이 충분한 고려된 경로설정이 이루어져야 한다. 본 논문에서는 ATM망의 가상경로/가상채널의 특성을 기반으로한 점 대 다중점 경로설정 알고리즘을 제안한다. 제안한 알고리즘은 가상경로 트리를 사용하며 경로설정시 가상경로/가상채널 스위칭의 특성이 반영된 비용함수를 사용하였다. 또한 비용함수는 링크 비용, 지연 및 지연에 대한 가중치로 구성되며 지연에 대한 가중치는 트래픽의 지연감도에 의해 결정된다. 제안한 알고리즘은 트래픽의 지연한계를 만족시킬 수 있는 경로를 설정할 뿐만 아니라, 동일한 경로설정 비용을 가지는 지연한계내의 경로중 지연을 최적화하는 경로를 선택할 수있다. 또한 지연에 대한 가중치를 조절하여 지연 및 비용에 최적화된 알고리즘에 근사한 성능을 가질 수있다. 시뮬레이션 결과, 제안된 알고리즘은 가중치가 0.8에서 1사이에 존재할 때 경로설정 비용측면에서는 비용에 최적화된 알고리즘의 성능에 근사하였으며, 종단간 지연측면에 있어서는 지연이 강하게 반영된 알고리즘의 성능에 근사되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권2호
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• pp.234-252
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• 2013

Due to the uncertain of connections in Delay Tolerant Networks (DTNs), most routing algorithms in DTNs need nodes to forward the message to others based on the opportunistic contact. The contact is related with the beaconing rate. In particular, nodes have more chances to encounter with each other with bigger beaconing rate, but more energy will be used. On the other hand, if the nodes forward the message to every node all the time, the efficiency of the routing algorithm is better, but it needs more energy, too. This paper tries to exploit the optimal beaconing rate and forwarding rate when the total energy is constraint. First, a theoretical framework is proposed, which can be used to evaluate the performance with different forwarding rate and beaconing rate. Then, this paper formulates a joint optimization problem based on the framework. Through Pontryagin's Maximal Principle, this paper obtains the optimal policy and proves that both the optimal forwarding and beaconing rates conform to threshold form. Simulation results show the accuracy of the theoretical framework. Extensive numerical results show that the optimal policy obtained in this paper is the best.

• Management Science and Financial Engineering
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• 제10권2호
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• pp.1-28
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• 2004

The integrated supply chain of business partners for e-Commerce in cyber space is defined as Logistics Chain if the cooperative activities are logistics-related. Logistics Chain could be managed effectively and efficiently by cooperative technologies of logistics chain execution. In this paper, we propose a routing and scheduling algorithm based on the Tabu search by adding geographical information into existing constraint for pick-up and delivery process to minimize service time and cost in logistics chain. And, we also consider an uncertainty processing for the tracing of moving object to control pick-up and delivery vehicles based on GPS/GIS/ITS. Uncertainty processing is required to minimize amount of telecommunication and database on vehicles tracing. Finally, we describe the Logistics Chain Execution (LCE) system to perform plan and control activities for postal logistics chain. To evaluate practical effects of the routing and scheduling system, we perform a pretest for the performance of the tabu search algorithm. And then we compare our result with the result of the pick-up and delivery routing plan generated manually by postmen.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권6호
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• pp.1849-1876
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• 2022

Wireless Sensor Network (WSN) is considered as an integral part of the Internet of Things (IoT) for collecting real-time data from the site having many applications in industry 4.0 and smart cities. The task of nodes is to sense the environment and send the relevant information over the internet. Though this task seems very straightforward but it is vulnerable to certain issues like energy consumption, delay, throughput, etc. To efficiently address these issues, this work develops a cross-layer model for the optimization between MAC and the Network layer of the OSI model for WSN. A high value of duty cycle for nodes is selected to control the delay and further enhances data transmission reliability. A node measurement prediction system based on the Kalman filter has been introduced, which uses the constraint based on covariance value to decide the scheduling scheme of the nodes. The concept of duty cycle for node scheduling is employed with a greedy data forwarding scheme. The proposed Duty Cycle-based Greedy Routing (DCGR) scheme aims to minimize the hop count, thereby mitigating the energy consumption rate. The proposed algorithm is tested using a real-world wastewater treatment dataset. The proposed method marks an 87.5% increase in the energy efficiency and reduction in the network latency by 61% when validated with other similar pre-existing schemes.

• 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.

• 전기전자학회논문지
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• 제13권1호
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• pp.71-76
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• 2009

As one of the most important requirements for wireless sensor networks, prolonging network lifetime can be realized by minimizing energy consumption in cluster heads as well as sensor nodes. While most of the previous researches have focused on the energy of sensor nodes, we devote our attention to cluster heads because they are most dominant source of power consumption in the cluster-based sensor networks. Therefore, we seek to minimize energy consumption by minimizing the maximum(MINMAX) energy dissipation at each cluster heads. This work requires energy-efficient clustering of the sensor nodes while satisfying given energy constraints. In this paper, we present a constraint satisfaction modeling of cluster-based routing in a heterogeneous sensor networks because mixed integer programming cannot provide solutions to this MINMAX problem. Computational experiments show that substantial energy savings can be obtained with the MINMAX algorithm in comparison with a minimum total energy(MTE) strategy.