• Title/Summary/Keyword: wireless scheduling

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Data Scheduling Management to Reduce Client's Query Processing Time in Wireless Broadcast Environments (무선방송환경에서 클라이언트의 질의처리 시간을 줄이기 위한 데이터 스케줄링 관리)

  • Song, Doohee;Park, Kwangjin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.1110-1112
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    • 2013
  • 본 논문에서는 무선방송 환경을 기반으로 한 서버가 클라이언트에게 데이터를 전송할 때 클라이언트의 질의처리 시간을 줄일 수 있는 방안을 제안한다. 서버는 무선방송을 통해 공간 데이터를 클라이언트에게 전송한다. 데이터 스케줄링 관리의 목적은 서버의 데이터 전송 순서를 효과적으로 배치하여 클라이언트의 질의처리시간을 줄이기 위함이다. 본 논문에서 서버는 클라이언트에게 위치기반 서비스를 제공하기 위하여 영역별 클라이언트의 수에 따라 hot-cold기법을 접목시킨 Number of Clients number Hot-Cold(NCHC)를 제안한다. NCHC의 장점은 클라이언트의 분포에 따라 데이터(객체)를 분류하기 때문에 클라이언트들의 평균 질의처리 시간을 줄일 수 있다.

Secure Performance Analysis Based on Maximum Capacity

  • Zheng, Xiuping;Li, Meiling;Yang, Xiaoxia
    • Journal of Information Processing Systems
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    • v.16 no.6
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    • pp.1261-1270
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    • 2020
  • The physical security layer of industrial wireless sensor networks in the event of an eavesdropping attack has been investigated in this paper. An optimal sensor selection scheme based on the maximum channel capacity is proposed for transmission environments that experience Nakagami fading. Comparing the intercept probabilities of the traditional round robin (TRR) and optimal sensor selection schemes, the system secure performance is analyzed. Simulation results show that the change in the number of sensors and the eavesdropping ratio affect the convergence rate of the intercept probability. Additionally, the proposed optimal selection scheme has a faster convergence rate compared to the TRR scheduling scheme for the same eavesdropping ratio and number of sensors. This observation is also valid when the Nakagami channel is simplified to a Rayleigh channel.

Femtocell Networks Interference Management Approaches

  • Alotaibi, Sultan
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.329-339
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    • 2022
  • Small cells, particularly femtocells, are regarded a promising solution for limited resources required to handle the increasing data demand. They usually boost wireless network capacity. While widespread usage of femtocells increases network gain, it also raises several challenges. Interference is one of such concerns. Interference management is also seen as a main obstacle in the adoption of two-tier networks. For example, placing femtocells in a traditional macrocell's geographic area. Interference comes in two forms: cross-tier and co-tier. There have been previous studies conducted on the topic of interference management. This study investigates the principle of categorization of interference management systems. Many methods exist in the literature to reduce or eliminate the impacts of co-tier, cross-tier, or a combination of the two forms of interference. Following are some of the ways provided to manage interference: FFR, Cognitive Femtocell and Cooperative Resource Scheduling, Beamforming Strategy, Transmission Power Control, and Clustering/Graph-Based. Approaches, which were proposed to solve the interference problem, had been presented for each category in this work.

Radio Resource Scheduling Approach For Femtocell Networks

  • Alotaibi, Sultan
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.394-400
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    • 2022
  • The radio resources available in a wireless network system are limited. Therefor, job of managing resources is not easy task. Because the resources are shared among the UEs that are connected, the process of assigning resources must be carefully controlled. The packet scheduler in an LTE network is in charge of allocating resources to the user equipment (UE). Femtocells networks are being considered as a promising solution for poor channel performance for mulitple environments. The implementation of femtocells into a macrocell (traditional base station) would boost the capacities of the cellular network. To increase femtocells network capacity, a reliable Packet Scheduler mechanism should be implemented. The Packet Scheduler technique is introduced in this paper to maximize capacity of the network while maintaining fairness among UEs. The proposed solution operates in a manner consistent with this principle. An analysis of the proposed scheme's performance is conducted using a computer simulation. The results reveal that it outperforms the well-known PF scheduler in terms of cell throughput and average throughput of UEs.

A Study of Client Scheduling Policy in Wireless Streaming Media Sharing System (무선 동영상 공유 시스템의 클라이언트 스케쥴링 정책 연구)

  • Kim, Dae-Ho;Kim, Jong-Woo;Park, Chong-Myung;Jung, In-Bum
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.11a
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    • pp.519-520
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    • 2009
  • 무선 동영상 공유 시스템은 가정이나 사무실 등 에서 여러 사람들이 분배기에 접속 하여 TV 방송을 시청할 수 있는 시스템이다. 분배기는 n개의 튜너를 내장하며 사용자는 동시에 n개의 채널만 시청 할 수 있다. 이러한 한정된 자원 내에서 사용자들의 요구를 충족 할 수 있도록 사용자 관리 정책을 제안하였다.

Task Scheduling Algorithm for Parallel Processing in Wireless Sensor Network (무선 센서 네트워크에서 병렬 처리를 위한 태스크 스케쥴링)

  • Park, Chong-Myung;Jung, In-Bum
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.04a
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    • pp.859-861
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    • 2009
  • 무선 통신, 제한된 자원 (전력, 프로세서, 메모리 등), 신뢰성, 동적인 토폴로지 등의 특성을 갖는 센서 네트워크는 기존의 실시간 시스템과는 많은 차이가 있다. 이러한 센서 네트워크에서 멀티미디어 데이터 처리와 같은 많은 계산을 필요로 하는 어플리케이션이나 실시간 어플리케이션을 개발하기 위해서는 센서 노드들의 데이터 병렬 처리가 필요하다. 비선점형 스케쥴러를 갖는 센서 노드에서 데이터 전송량이 많을 경우 통신을 위한 태스크 생성이 증가하므로 일반 태스크의 실행에도 지연이 발생하게 된다. 자원 제한적인 센서 네트워크에서 에너지 소모나 지연과 같은 성능은 각 센서 노드들에 태스크를 할당하는 방법에 영향을 받는다. 본 연구에서는 병렬 처리에 참여하는 센서 노드들의 에너지 소모량과 지연을 고려한 노드 스케쥴링 기법을 제안한다.

Employing an Energy-efficient Pattern for Coverage Problem in WSNs (무선센서네크워크에서 커버리지 문제를 해결하기 위한 에너지효율적인 패턴)

  • Dao, Manh Thuong Quan;Le, Duc Tai;Ahn, Min-Joon;Choo, Hyun-Seung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.601-602
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    • 2011
  • In wireless sensor networks, coverage problem is a fundamental issue that has attracted considerable attention in recent years. Most node scheduling patterns utilize the adjustable range of sensor to minimize the sensing energy consumption. However, a large source of consumption of communication energy of sensor is not strictly taken into account. In this paper, we introduce an energy-efficient pattern that is used to minimize the communication energy consumption of a sensor network. Calculations and extensive simulation are conducted to evaluate the efficiency of the new pattern comparing to existing ones.

Untact Mobile Bus Stop Scheduling System Using Wireless remote control telecommunication technology (무선 원격 통신 기술을 활용한 언택트 모바일 버스 정차 예약 서비스)

  • KIM, JEHA;GO, SEOKCHAN;LEE, GYEMIN
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.11a
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    • pp.380-383
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    • 2020
  • 본 작품은 코로나 바이러스로 인한 언택트 서비스의 부각과 더불어, 대중교통 이용시 승객들이 하차에 신경쓰지 않고 자신의 일에 집중 할 수 있도록 지원하기 위해 제작된 서비스이다. 버스 하차 전(혹은 승차 시) 미리 희망하는 하차 지점을 예약해놓으면 해당 정류장에 자동으로 버스의 하차벨을 울리게 된다. 스마트폰 앱과 버스에 설치된 단말을 활용하여 추가적인 설치비용을 절약하며, 이 후 완성된 시스템을 발전시켜 사용자별 타겟광고가 가능해지면 버스회사의 부족한 재원을 보다 확보할 수도 있다.

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Task offloading under deterministic demand for vehicular edge computing

  • Haotian Li ;Xujie Li ;Fei Shen
    • ETRI Journal
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    • v.45 no.4
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    • pp.627-635
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    • 2023
  • In vehicular edge computing (VEC) networks, the rapid expansion of intelligent transportation and the corresponding enormous numbers of tasks bring stringent requirements on timely task offloading. However, many tasks typically appear within a short period rather than arriving simultaneously, which makes it difficult to realize effective and efficient resource scheduling. In addition, some key information about tasks could be learned due to the regular data collection and uploading processes of sensors, which may contribute to developing effective offloading strategies. Thus, in this paper, we propose a model that considers the deterministic demand of multiple tasks. It is possible to generate effective resource reservations or early preparation decisions in offloading strategies if some feature information of the deterministic demand can be obtained in advance. We formulate our scenario as a 0-1 programming problem to minimize the average delay of tasks and transform it into a convex form. Finally, we proposed an efficient optimal offloading algorithm that uses the interior point method. Simulation results demonstrate that the proposed algorithm has great advantages in optimizing offloading utility.

A Study on QoS Routing Performance Enhancement by using LSQR Scheduling in WiMAX Mesh Networks (와이맥스 메쉬 네트워크에서 LSQR 스케줄링을 이용한 QoS 라우팅 성능 향상에 관한 연구)

  • Tak, Wooyoung;Lee, Gowoon;Joh, Hangki;Ryoo, Intae
    • Journal of Digital Contents Society
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    • v.14 no.4
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    • pp.429-437
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    • 2013
  • Recently, wireless mesh network has been focused as a core technology for resolving the issues of shadow zone and distributed bypass route as it has broad service coverage as well as good scalability features. It, however, provides users with relatively lower QoS than infrastructure-based networks. In order for addressing this QoS issue and also enhancing the routing performance of mobile WiMax mesh network, this paper proposes a load sensing QoS routing (LSQR) scheme. In the proposed LSQR, each node figures out network congestion status and selects a bypass route accordingly. With this scheme, we can expect good load balancing effect by changing the routing paths from centralized links to distributed links under a heavy traffic condition. From the simulation results using NS-2, it has been verified that the LSQR shows lower packet loss rates and data transmission delays than the existing representative routing schemes.