• Title/Summary/Keyword: Free allocation

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An Energy Efficient MAC Protocol Providing Guaranteed Service for Wireless Sensor Network

  • Kim, Dong-Won;Park, Tae-Geon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.1
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    • pp.123-140
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    • 2011
  • In this paper, we propose an Energy Efficient Media Access Control (EE-MAC) protocol for wireless sensor networks. The proposed scheme is designed to save power consumption and guarantee quality-of-service for real-time traffic. EE-MAC uses the superframe structure which is bounded by the transmission of a beacon frame and can have an active and an inactive portion. The active period is divided into the contention free period (CFP) for real-time traffic transmission and the contention access period (CAP) for non-real-time traffic transmission. We propose the exclusively allocated backoff scheme which assigns a unique backoff time value to each real-time node based on bandwidth allocation and admission control. This scheme can avoid collision between real-time nodes by controlling distributed fashion and take effect a statistical time division multiple access. We also propose the algorithm to change the duty cycle adaptively according to channel utilization of media depending on network traffic load. This algorithm can prolong network lifetime by reducing the amount of energy wasted on idle listening.

A Study on Software-based Memory Testing of Embedded System (임베디드 시스템의 소프트웨어 기반 메모리 테스팅에 관한 연구)

  • Roh, Myong-Ki;Kim, Sang-Il;Rhew, Sung-Yul
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.05a
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    • pp.309-312
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    • 2004
  • 임베디드 시스템은 특별한 목적을 수행하기 위해 컴퓨터 하드웨어와 소프트웨어를 결합시킨 것이다. 임베디드 시스템은 일반 데스크탑보다 작은 규모의 하드웨어에서 운영된다. 임베디드 시스템은 파워, 공간, 메모리 등의 여러 가지 환경적 요소에 제약을 받는다. 그리고 임베디드 시스템은 실시간으로 동작하기 때문에 임베디드 시스템에서 소프트웨어의 실패는 일반 데스크탑에서보다 훨씬 심각한 문제를 발생시킨다. 따라서 임베디드 시스템은 주어진 자원을 효율적으로 사용하여야 하고 임베디드 시스템의 실패율을 낮춰야만 한다. 치명적인 문제를 발생시킬 수 있는 임베디드 시스템의 실패의 원인 중 하나가 메모리에 관련한 문제이다. 임베디드 시스템 특정상 메모리 문제는 크게 하드웨어 기반의 메모리 문제와 소프트웨어 기반의 메모리 문제로 분류된다. 소프트웨어 기반의 메모리에 관련한 문제는 Memory Leak, Freeing Free Memory, Freeing Unallocated Memory, Memory Allocation Failed, Late Detect Array Bounds Write, Late Detect Freed Memory Write 등과 같은 것들이 있다. 본 논문에서는 임베디드 시스템의 메모리 관련에 대한 문제점을 파악하고 관련 툴을 연구하여 그 문제점들을 효율적으로 해결할 수 있는 기법을 점증적으로 연구하고자 한다.

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An Adaptive GTS Allocation Scheme to Increase Bandwidth Utilization in IEEE 802.15.4 (IEEE 802.15.4에서 대역폭 사용 효율 향상을 위한 적응적 GTS 할당 기법)

  • Park, Hee-Dong;Kim, Do-Hyeon;Park, Hyeon
    • Journal of Korea Multimedia Society
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    • v.14 no.2
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    • pp.219-227
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    • 2011
  • The superframe structure of IEEE 802.15.4, an international standard for low rate WPAN, is composed of CAP(Contention access period) and CFP(Contention free period). CAP is the contention-based access period, while CFP is contention-free access period for supporting QoS by allocating fixed bandwidth. The standard can support QoS for only a few devices, because the maximum number of GTSs is 7. Furthermore, as the value of BO (Beacon order) or SO (Superframe order) increases, the size of a time slot increases. This makes it difficult to precisely allocate bandwidth for any device, because the bandwidth is allocated by the unit of GTS. The proposed scheme of this paper can reduce the waste of BW in CFP by adaptively reducing the size of a time slot in CFP as the value of BO or SO increases and increase the number of GTSs to 127 by modifying the standard. The performance analysis shows that the proposed scheme can dramatically increase the bandwidth utilization during the CFP when comparing with IEEE 802.15.4.

ALLOCATION AND PRICING IN PUBLIC TRANSPORTATION AND THE FREE RIDER THEOREM

  • Beckmann, Martin J.
    • Journal of the Korean Operations Research and Management Science Society
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    • v.3 no.1
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    • pp.31-46
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    • 1978
  • Consider a time interval during which the demand for trips is fixed (e.g. the rush hour period). The traveller has a choice between various public modes, whose travel times and fares are fixed, and the automobile mode, for which travel time and cost depend on the volume of traffic flow on those roads, which are subject to congestion. We consider the equilibrium in terms of a representative travellerm, who choses for any trip the mode and route with the least combined money and time cost. When several (parallel) model or routes are chosen, then the combined cost of money and time must be equal among these. Our problem is first, to find the optimal flows of cars and of public mode carriers on the various links of their networks and second the optimal fares for trips by the variousmodes. The object is to minimize the total operating costs of the carriers and car plus the total time costs to travellers. The optimal fares are related to, but not identical with the dual variables of the underlying Nonlinear Program. They are equal to these dual variables only in the case, when congestion tolls on trips or on the use of specific roads are collected from automobile users. When such tolls are not collected, they must be passed on as subsidies to travellers using competing modes. The optimal fares of public modes are then reduced by the amounts of these subsidies. Note that subsidies are not a flat payment to public carriers, but are calculated on the basis of tickets sold. Fares and subsidies depend in general on tile period considered. They will be higher during periods of higher demand. When the assumption of fixed trip demand is relaxed, this tare system is no longer best, but only second best since too much traffic will, in general, be generated. The Free Rider Theorem states the following : Suppose road tolls can be charged, so that a best pricing system for public modes is posssible. Then there may exist free rides on some routes and modes, but never on a complete round trip.

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A 4 kbps PSI-VSELP Speech Coding Algorithm (4 kbps PSI-VSELP 음성 부호화 알고리듬)

  • Choi, Yong-Soo;Kang, Hong-Goo;Park, Sang-Wook;Youn, Dae-Hee
    • The Journal of the Acoustical Society of Korea
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    • v.15 no.6
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    • pp.59-65
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    • 1996
  • This paper proposes a 4 kbps PSI-VSELP(Pitch Synchronous Innovation-Vector Sum Excited Linear Prediction) speech coder which produces speech equivalent to that of the conventional 4.8 kbps VSELP. Since the 'half-rate' is differently defined from country to country, there may be a need to reduce the bit rate of conventional half-rate coder. To minimize the degradation of speech quality caused by bit-rate reduction, it is desirable to perform bit-allocation based on the carefull consideration of the effect of various transmission parameters. This paper adopts this analytical approach for bit-allocation at 4 kbps. To improve the quality of the VSELP coder at 4 kbps, basis vectors which play the most important role in the performance, are optimized by an iterative closed-loop training process and the PSI technique is employed in the VSELP performance, are optimized by an iterative closed-loop training process and the PSI technique is employed in the VSELP coder. To demonstrate the performance of the proposed speech coder, we peformed experiments under the noiseless and error free conditions. From experimental results, even though the proposed 4 kbps PSI-VSELP coder showed lower scores in the objective measure, higher scores in subjective measure was obtained compared with those of the conventional 4.8 kbps VSELp.

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MAC Scheduling Algorithm in IEEE 802.15.3 HR-WPAN (고속 무선 개인화 네트워크를 위한 MAC 스케줄링 알고리즘)

  • Joo Sung-Don;Lee Chae-Woo
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.42 no.6 s.336
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    • pp.41-52
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    • 2005
  • In wireless networks there are various errors, caused by multi-path fading and interference between devices which lower the network Performance. Especially, performance of IEEE 802.IS.3 High-Rate WPAN (Wireless Personal Area Network) which is operated in ISM unlicensed frequency band is easily affected by channel errors. In this paper, we propose a scheduling algorithm which takes channel errors into consideration in scheduling asynchronous data traffic. The proposed scheduling algorithm can allocate CTA(Channel Time Allocation) proportionally in accordance with the requested channel time of each device. It also prevents waste of channel time by allocating CTA of the channel-error devices to other channel-error free devices. After recovering from the channel error, the devices are compensated as much as they conceded during channel error status. Simulation results show that the proposed scheduling algorithm is superior to the existing SRPT(Shortest Remain Processing Time) and RR(Round Robin) in throughput and fairness aspects.

Dual Token Bucket based HCCA Scheduler for IEEE 802.11e (IEEE 802.11e WLAN 위한 이중 리키 버킷 기반 HCCA 스케줄러)

  • Lee, Dong-Yul;Lee, Chae-Woo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.11B
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    • pp.1178-1190
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    • 2009
  • IEEE 802.11e proposed by IEEE 802.11 working group to guarantee QoS has contention based EDCA and contention free based HCCA. HCCA, a centralized polling based mechanism of 802.11e, needs a scheduling algorithm to allocate the network resource efficiently. The existing standard scheduler, however, is inefficient to support for QoS guarantee for real-time service having VBR traffic. To efficiently assign resource for VBR traffic, in this paper, we propose TXOP algorithm based on dual leaky bucket using average resource allocation and peak resource allocation. The minimum TXOP of each station is obtained by using statistical approach to maximize number of stations of which performance satisfy QoS target. Simulation results show that the proposed algorithm has much higher performance compared with reference scheduler in terms of throughput and delay.

Study on a Demand Volume Estimation Method using Population Weighted Centroids in Facility Location Problems (시설물 입지에 있어 인구 중심점 개념을 이용한 수요 규모 추정 방법 연구)

  • Joo, Sung-A;Kim, Young-Hoon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.2
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    • pp.11-22
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    • 2007
  • This paper is to discuss analytical techniques to estimate demand sizes and volumes that determine optimal locations for multiple facilities for a given services. While demand size estimation is a core part of location modeling to enhance solution quality and practical applicability, the estimation method has been used in limited and restrict parts such as a single population centroid in a given larger census boundary area or small theoretical application experiments(e.s. census track and enumeration district). Therefore, this paper strives to develop an analytical estimation method of demand size that converts area based demand data to point based population weighted centroids. This method is free to spatial boundary units and more robust to estimate accurate demand volumes regardless of geographic boundaries. To improve the estimation accuracy, this paper uses house weighted value to the population centroid calculation process. Then the population weighted centroids are converted to individual demand points on a grid formated surface area. In turn, the population weighted centroids, demand points and network distance measures are operated into location-allocation models to examine their roles to enhance solution quality and applicability of GIS location models. Finally, this paper demonstrates the robustness of the weighted estimation method with the application of location-allocation models.

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Shelter location-allocation for Tsunami Using Floating Population and Genetic Algorithm (유동인구 데이터와 유전자 알고리즘을 이용한 지진해일 대피소 선정)

  • Bae, Junsu;Kim, Mi-Kyeong;Yoo, Suhong;Heo, Joon;Sohn, Hong-Gyoo
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.3
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    • pp.157-165
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    • 2019
  • Recently, large and small earthquakes have occurred in the Korean peninsula. In this sense, Korea is no longer considered as an earthquake free zone. Especially, it is necessary to respond quickly to earthquake tsunami which may be caused by the influence of neighboring countries with large earthquakes. Since the occurrence of tsunamis can cause great casualties, it is very important to allocate the location of the shelter in case of an earthquake. Although many researches on shelter allocation have been conducted in various ways, but most of them have been analyzed based on administrative district resident data, resulting in a lack of reality. In this study, floating population data were used to reflect reality in case of emergency situations, and genetic algorithm, which produce good results among the heuristic algorithms, was used to select shelter locations. The number of evacuees was used as a objective function of genetic algorithm and the optimal solution was found through selection, crossover and mutation. As a result of the research on Busan Haeundae-Gu, selected as a research area, allocating eight shelters was the most efficient. The location of the new shelters was selected not only in residential areas but also in major tourist areas whose results can not be derived from administrative district resident data alone, and the importance of utilizing the floating population data was confirmed through this study.

A Block-based Uniformly Distributed Random Node Arrangement Method Enabling to Wirelessly Link Neighbor Nodes within the Communication Range in Free 3-Dimensional Network Spaces (장애물이 없는 3차원 네트워크 공간에서 통신 범위 내에 무선 링크가 가능한 블록 기반의 균등 분포 무작위 노드 배치 방법)

  • Lim, DongHyun;Kim, Changhwa
    • Journal of Korea Multimedia Society
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    • v.25 no.10
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    • pp.1404-1415
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    • 2022
  • The 2-dimensional arrangement method of nodes has been used in most of RF (Radio Frequency) based communication network simulations. However, this method is not useful for the an none-obstacle 3-dimensional space networks in which the propagation delay speed in communication is very slow and, moreover, the values of performance factors such as the communication speed and the error rate change on the depth of node. Such a typical example is an underwater communication network. The 2-dimensional arrangement method is also not useful for the RF based network like some WSNs (Wireless Sensor Networks), IBSs (Intelligent Building Systems), or smart homes, in which the distance between nodes is short or some of nodes can be arranged overlapping with their different heights in similar planar location. In such cases, the 2-dimensional network simulation results are highly inaccurate and unbelievable so that they lead to user's erroneous predictions and judgments. For these reasons, in this paper, we propose a method to place uniformly and randomly communication nodes in 3-dimensional network space, making the wireless link with neighbor node possible. In this method, based on the communication rage of the node, blocks are generated to construct the 3-dimensional network and a node per one block is generated and placed within a block area. In this paper, we also introduce an algorithm based on this method and we show the performance results and evaluations on the average time in a node generation and arrangement, and the arrangement time and scatter-plotted visualization time of all nodes according to the number of them. In addition, comparison with previous studies is conducted. As a result of evaluating the performance of the algorithm, it was found that the processing time of the algorithm was proportional to the number of nodes to be created, and the average generation time of one node was between 0.238 and 0.28 us. ultimately, There is no problem even if a simulation network with a large number of nodes is created, so it can be sufficiently introduced at the time of simulation.