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A HEURISTIC ALGORITHM FOR VEHICLE ROUTING PROBLEM WITH BACKHAULS

  • NAE-HEON KIM;SUK-CHUL RIM;BYUNG-DO MIN
    • Management Science and Financial Engineering
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    • v.3 no.1
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    • pp.1-14
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    • 1997
  • We address the problem of determining the sequence of a vehicle with fixed capacity to visit n nodes at which a predetermined amount is picked up and/or delivered. The objective is to minimize the total travel distance of the vehicle, while satisfying the pick-up/delivery requirements and feasibility at all nodes. Existing methods for the problem allows the vehicle to visit a node twice, which is impractical in many real situations. We propose a heuristic algorithm, in which every node is visited exactly once. Computational results using random problems indicate that the proposed heuristic outperforms existing methods for practical range of the number of nodes in reasonable computation time.

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A Shared-Route Decision Algorithm for Efficient Multicast Routing (효율적인 멀티캐스트 라우팅을 위한 경로 지정 방법)

  • Cho, Kee-Seong;Jang, Hee-Seon;Kim, Dong-Hui
    • Journal of Korean Institute of Industrial Engineers
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    • v.34 no.3
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    • pp.289-295
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    • 2008
  • The shared-route decision algorithms in multicasting communications networks to provide the internet-based services such as IPTV, remote education/health, and internet broadcasting are presented. The three main measures of maximum delay, average delay and estimated delay between each node and member are adopted. Under the Mesh network with the uniform random cost between each node, the algorithm's performance is compared to the optimal solution with the minimum cost by all enumeration. The simulation results show that the algorithm using the estimated delay outperforms the other two methods.

Distributed estimation over complex adaptive networks with noisy links

  • Farhid, Morteza;Sedaaghi, Mohammad H.;Shamsi, Mousa
    • Smart Structures and Systems
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    • v.19 no.4
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    • pp.383-391
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    • 2017
  • In this paper, we investigate the impacts of network topology on the performance of a distributed estimation algorithm, namely combine-then-adaptive (CTA) diffusion LMS, based on the data with or without the assumptions of temporal and spatial independence with noisy links. The study covers different network models, including the regular, small-world, random and scale-free whose the performance is analyzed according to the mean stability, mean-square errors, communication cost (link density) and robustness. Simulation results show that the noisy links do not cause divergence in the networks. Also, among the networks, the scale free network (heterogeneous) has the best performance in the steady state of the mean square deviation (MSD) while the regular is the worst case. The robustness of the networks against the issues like node failure and noisier node conditions is discussed as well as providing some guidelines on the design of a network in real condition such that the qualities of estimations are optimized.

A Scaling Trend of Variation-Tolerant SRAM Circuit Design in Deeper Nanometer Era

  • Yamauchi, Hiroyuki
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.9 no.1
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    • pp.37-50
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    • 2009
  • Evaluation results about area scaling capabilities of various SRAM margin-assist techniques for random $V_T$ variability issues are described. Various efforts to address these issues by not only the cell topology changes from 6T to 8T and 10T but also incorporating multiple voltage-supply for the cell terminal biasing and timing sequence controls of read and write are comprehensively compared in light of an impact on the required area overhead for each design solution given by ever increasing $V_T$ variation (${\sigma}_{VT}$). Two different scenarios which hinge upon the EOT (Effective Oxide Thickness) scaling trend of being pessimistic and optimistic, are assumed to compare the area scaling trends among various SRAM solutions for 32 nm process node and beyond. As a result, it has been shown that 6T SRAM will be allowed long reign even in 15 nm node if ${\sigma}_{VT}$ can be suppressed to < 70 mV thanks to EOT scaling for LSTP (Low Standby Power) process.

A Software Update Method Using Clustering WSNs (클러스터링을 이용한 SW 업데이트 방법)

  • Jeong, Hyeyeong;Ahn, Byoungchul
    • IEMEK Journal of Embedded Systems and Applications
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    • v.9 no.4
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    • pp.245-251
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    • 2014
  • Wireless Sensor Networks(WSNs) are applied to many monitoring applications. Present sensor nodes can perform many functions at the same time and contain complex software. During the lifetime of sensor nodes, they are required to reprogram their software because of their new functions, software, software bug fixes. The nodes are inaccessible physically or it is very difficult to upgrade their software by one by one. To upgrade the software of sensor nodes in WSNs remotely, this paper presents an energy efficient method by selecting an optimal relay node. The CHR(Cluster Head Relay) method is compared with SPIN and RANDOM method. Three methods are simulated in NS-2 with the same environmental parameters. Simulation results show that CHR shows faster update time and less power consumption compared with other two methods.

Analysis of Effect of an Additional Edge on Eigenvector Centrality of Graph

  • Han, Chi-Geun;Lee, Sang-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.1
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    • pp.25-31
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    • 2016
  • There are many methods to describe the importance of a node, centrality, in a graph. In this paper, we focus on the eigenvector centrality. In this paper, an analytical method to estimate the difference of centrality with an additional edge in a graph is proposed. In order to validate the analytical method to estimate the centrality, two problems, to decide an additional edge that maximizes the difference of all centralities of all nodes in the graph and to decide an additional edge that maximizes the centrality of a specific node, are solved using three kinds of random graphs and the results of the estimated edge and observed edge are compared. Though the estimated centrality difference is slightly different from the observed real centrality in some cases, it is shown that the proposed method is effective to estimate the centrality difference with a short running time.

Topology Characteristics and Generation Models of Scale-Free Networks

  • Lee, Kang Won;Lee, Ji Hwan
    • Journal of information and communication convergence engineering
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    • v.19 no.4
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    • pp.205-213
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    • 2021
  • The properties of a scale-free network are little known; its node degree following a power-law distribution is among its few known properties. By selecting real-field scale-free networks from a network dataset and comparing them to other networks, such as random and non-scale-free networks, the topology characteristics of scale-free networks are identified. The assortative coefficient is identified as a key metric of a scale-free network. It is also identified that most scale-free networks have negative assortative coefficients. Traditional generation models of scale-free networks are evaluated based on the identified topology characteristics. Most representative models, such as BA and Holme&Kim, are not effective in generating real-field scale-free networks. A link-rewiring method is suggested that can control the assortative coefficient while preserving the node degree sequence. Our analysis reveals that it is possible to effectively reproduce the assortative coefficients of real-field scale-free networks through link-rewiring.

Performance Analysis of MANET Routing Protocols with Various Data Traffic (다양한 데이터 트래픽을 갖는 이동 애드혹 네트워크용 라우팅 프로토콜의 성능 분석)

  • Kim, Kiwan
    • Journal of the Semiconductor & Display Technology
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    • v.20 no.2
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    • pp.67-72
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    • 2021
  • MANET(Mobile Ad Hoc Network) is the structure in which a source node communicates with a destination node by establishing a route with neighbor nodes without using the existing wired or wireless network. Therefore, the routing protocol for MANET must correspond well to changes in the channel state of moving nodes, and should have simple operation, high reliability, and no routing loop. In this paper, the simulation was perform by using a traffic model with on/off two states provided by the NS-3 network simulator. Also, the duration of the ON state and the duration of the OFF state used the traffic where inter arrival time of data is irregular by generating random values with constant, exponential distribution, and Pareto distribution. The performance of the DSDV, OLSR, and AODV protocols was compare and analyzed using the generated traffic model.

A Beeline Routing Protocol for Heterogeneous WSN for IoT-Based Environmental Monitoring

  • Sahitya, G.;Balaji, N.;Naidu, C.D.
    • International Journal of Computer Science & Network Security
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    • v.22 no.10
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    • pp.67-72
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    • 2022
  • A wireless sensor network (WSN), with its constrained sensor node energy supply, needs an energy-efficient routing technique that maximises overall system performance. When rumours are routed using a random-walk routing algorithm, which is not highly scalable, spiral pathways may appear. Because humans think a straight line is the quickest route between two sites and two straight lines in a plane are likely to intersect, straight-line routing (SLR) constructs a straight path without the aid of geographic information. This protocol was developed for WSNs. As a result, sensor nodes in WSNs use less energy when using SLR. Using comprehensive simulation data, we show that our upgraded SLR systems outperform rumour routing in terms of performance and energy conservation.

Multi-Objective Optimization for a Reliable Localization Scheme in Wireless Sensor Networks

  • Shahzad, Farrukh;Sheltami, Tarek R.;Shakshuki, Elhadi M.
    • Journal of Communications and Networks
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    • v.18 no.5
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    • pp.796-805
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    • 2016
  • In many wireless sensor network (WSN) applications, the information transmitted by an individual entity or node is of limited use without the knowledge of its location. Research in node localization is mostly geared towards multi-hop range-free localization algorithms to achieve accuracy by minimizing localization errors between the node's actual and estimated position. The existing localization algorithms are focused on improving localization accuracy without considering efficiency in terms of energy costs and algorithm convergence time. In this work, we show that our proposed localization scheme, called DV-maxHop, can achieve good accuracy and efficiency. We formulate the multi-objective optimization functions to minimize localization errors as well as the number of transmission during localization phase. We evaluate the performance of our scheme using extensive simulation on several anisotropic and isotropic topologies. Our scheme can achieve dual objective of accuracy and efficiency for various scenarios. Furthermore, the recently proposed algorithms require random uniform distribution of anchors. We also utilized our proposed scheme to compare and study some practical anchor distribution schemes.