The Experts below are selected from a list of 90930 Experts worldwide ranked by ideXlab platform

Chienchung Shen - One of the best experts on this subject based on the ideXlab platform.

  • sensor Information Networking architecture and applications
    IEEE Personal Communications, 2001
    Co-Authors: Chienchung Shen, C Srisathapornphat, Chaiporn Jaikaeo
    Abstract:

    This article introduces a sensor Information Networking architecture, called SINA, that facilitates querying, monitoring, and tasking of sensor networks. SINA serves the role of middleware that abstracts a network of sensor nodes as a collection of massively distributed objects. SINA's execution environment provides a set of configuration and communication primitives that enable scalable and energy-efficient organization of and interactions among sensor objects. On top the execution environment is a programmable substrate that provides mechanisms to create associations and coordinate activities among sensor nodes. Users then access Information within a sensor network using declarative queries, or perform tasks using programming script.

  • sensor Information Networking architecture
    International Workshop on Parallel Processing, 2000
    Co-Authors: C Srisathapornphat, Chaiporn Jaikaeo, Chienchung Shen
    Abstract:

    The advent of technology has facilitated the development of networked systems of extremely small, low-power devices that combine programmable general-purpose computing with multiple sensing and wireless communication capability. This networked system of programmable sensor nodes, which together form a sensor network, poses unique challenges on how Information collected by, and stored within, the sensor network could be queried and accessed, and how concurrent sensing tasks could be executed internally and programmed by external users. In this paper, we describe SINA (Sensor Information Networking Architecture), which facilitates the querying, monitoring and tasking of sensor networks. We model a sensor network as a collection of massively distributed objects, and SINA plays the role of middleware that facilitates the adaptive organization of sensor Information. The SINA kernel provides a set of configuration and communication primitives that enable the scalable, robust and energy-efficient organization of, and interactions among, sensor objects. On top of the SINA kernel is a programmable substrate that follows the spreadsheet paradigm and provides mechanisms to create associations among sensor nodes. Users then access Information within a sensor network using declarative queries and perform tasks using programmable scripts. Issues concerning interworking between stationary sensor networks and mobile nodes are also addressed.

Chaiporn Jaikaeo - One of the best experts on this subject based on the ideXlab platform.

  • sensor Information Networking architecture and applications
    IEEE Personal Communications, 2001
    Co-Authors: Chienchung Shen, C Srisathapornphat, Chaiporn Jaikaeo
    Abstract:

    This article introduces a sensor Information Networking architecture, called SINA, that facilitates querying, monitoring, and tasking of sensor networks. SINA serves the role of middleware that abstracts a network of sensor nodes as a collection of massively distributed objects. SINA's execution environment provides a set of configuration and communication primitives that enable scalable and energy-efficient organization of and interactions among sensor objects. On top the execution environment is a programmable substrate that provides mechanisms to create associations and coordinate activities among sensor nodes. Users then access Information within a sensor network using declarative queries, or perform tasks using programming script.

  • sensor Information Networking architecture
    International Workshop on Parallel Processing, 2000
    Co-Authors: C Srisathapornphat, Chaiporn Jaikaeo, Chienchung Shen
    Abstract:

    The advent of technology has facilitated the development of networked systems of extremely small, low-power devices that combine programmable general-purpose computing with multiple sensing and wireless communication capability. This networked system of programmable sensor nodes, which together form a sensor network, poses unique challenges on how Information collected by, and stored within, the sensor network could be queried and accessed, and how concurrent sensing tasks could be executed internally and programmed by external users. In this paper, we describe SINA (Sensor Information Networking Architecture), which facilitates the querying, monitoring and tasking of sensor networks. We model a sensor network as a collection of massively distributed objects, and SINA plays the role of middleware that facilitates the adaptive organization of sensor Information. The SINA kernel provides a set of configuration and communication primitives that enable the scalable, robust and energy-efficient organization of, and interactions among, sensor objects. On top of the SINA kernel is a programmable substrate that follows the spreadsheet paradigm and provides mechanisms to create associations among sensor nodes. Users then access Information within a sensor network using declarative queries and perform tasks using programmable scripts. Issues concerning interworking between stationary sensor networks and mobile nodes are also addressed.

C Srisathapornphat - One of the best experts on this subject based on the ideXlab platform.

  • sensor Information Networking architecture and applications
    IEEE Personal Communications, 2001
    Co-Authors: Chienchung Shen, C Srisathapornphat, Chaiporn Jaikaeo
    Abstract:

    This article introduces a sensor Information Networking architecture, called SINA, that facilitates querying, monitoring, and tasking of sensor networks. SINA serves the role of middleware that abstracts a network of sensor nodes as a collection of massively distributed objects. SINA's execution environment provides a set of configuration and communication primitives that enable scalable and energy-efficient organization of and interactions among sensor objects. On top the execution environment is a programmable substrate that provides mechanisms to create associations and coordinate activities among sensor nodes. Users then access Information within a sensor network using declarative queries, or perform tasks using programming script.

  • sensor Information Networking architecture
    International Workshop on Parallel Processing, 2000
    Co-Authors: C Srisathapornphat, Chaiporn Jaikaeo, Chienchung Shen
    Abstract:

    The advent of technology has facilitated the development of networked systems of extremely small, low-power devices that combine programmable general-purpose computing with multiple sensing and wireless communication capability. This networked system of programmable sensor nodes, which together form a sensor network, poses unique challenges on how Information collected by, and stored within, the sensor network could be queried and accessed, and how concurrent sensing tasks could be executed internally and programmed by external users. In this paper, we describe SINA (Sensor Information Networking Architecture), which facilitates the querying, monitoring and tasking of sensor networks. We model a sensor network as a collection of massively distributed objects, and SINA plays the role of middleware that facilitates the adaptive organization of sensor Information. The SINA kernel provides a set of configuration and communication primitives that enable the scalable, robust and energy-efficient organization of, and interactions among, sensor objects. On top of the SINA kernel is a programmable substrate that follows the spreadsheet paradigm and provides mechanisms to create associations among sensor nodes. Users then access Information within a sensor network using declarative queries and perform tasks using programmable scripts. Issues concerning interworking between stationary sensor networks and mobile nodes are also addressed.

Yong Ren - One of the best experts on this subject based on the ideXlab platform.

  • Cooperative earth observation through complex space Information networks
    IEEE Wireless Communications, 2016
    Co-Authors: Jun Du, Qiang Guo, Mohsen Guizani, Chunxiao Jiang, Yong Ren
    Abstract:

    Space-based Information Networking (SBIN) was proposed to broaden the observation area and realize continuous Information acquisition for Earth observation. It is corroborated to be able to enhance the detection and transmission capabilities of the current single Earth observation satellite. To achieve this goal, there are many new challenges for the SBIN to implement a cooperative observation and transmission scheme. First, to establish this comprehensive and heterogeneous space network, the design of the network architecture plays a key role. Meanwhile, how to transmit the Earth observation data back to the satellite ground station in due time can cause routing problems for the SBIN. Moreover, modeling and solving the planning and scheduling problems for the SBIN are complex issues because of the differences among the satellite and inter-satellite link state performance, the users' demands, and the uncertain space environment. In this article, we introduce and survey the aforementioned three issues from the perspectives of cooperative observation of the SBIN. In particular, we first discuss the current space-based Networking technology and inter-satellite routings. Then we address the cooperative Earth observation model and show our research results.

Yutaka Matsushita - One of the best experts on this subject based on the ideXlab platform.

  • Distributed computing architecture for effective management of multimedia streams on DPE
    Multimedia Tools and Applications, 1996
    Co-Authors: Choong Seon Hong, Shinkuro Honda, Kiyoto Kawauchi, Yutaka Matsushita
    Abstract:

    We study a Networking architecture model that is built on a distributed processing environment (DPE) for multimedia services suitable for high speed transport networks such as ATM networks. In this architecture, the applications are deployed as units of software building blocks. Each building block provides a layered view for the effective management and control of the multimedia network resources and services according to the concept of telecommunications management network (TMN) and telecommunications Information Networking architecture (TINA). For the purpose of flexible service provision to users and effective service introduction by service providers, this architecture proposes the adoption of ad hoc service building blocks such as a video on demand building block and a CSCW building block that have interactions with a general purpose building block. This paper also proposes a naming structure for the management of user profiles and session profiles using a directory service system, and an effective control model for multimedia logical device objects using a stream process approach. The proposed model is implemented on a DPE platform that provides various transparencies, ANSAware.