The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform

Mun Choon Chan - One of the best experts on this subject based on the ideXlab platform.

  • Spherical Coordinate routing for 3d wireless ad hoc and sensor networks
    Local Computer Networks, 2008
    Co-Authors: Shao Tao, A L Ananda, Mun Choon Chan
    Abstract:

    While wireless networks are generally deployed in three dimensional environments, most geometric routing protocols are designed and evaluated with a focus on two dimensional space. In this paper, we present a connectivity based routing protocol in 3D space named Spherical Coordinate Routing(SCR), which exploits connectivity-based greedy forwarding for efficient routing paths and a Spherical Coordinate tree based recovery method to guarantee packet delivery. SCR can deploy multiple recovery trees simultaneously to enhance the routing efficiency and resilience against network dynamics. Simulation results show that the packet delivery ratio of SCR is 22% ~ 63% higher than that of BVR, LCR and NoGeo, at the critical node density range of 4 to 8. The amount of forwarding traffic required per packet delivery is considerably lower than protocols relying on scoped flooding based recovery. The SCR protocol can efficiently recover from topology changes due to clustered node failures, while maintaining excellent path stretch and traffic load performance in a 3D network topology.

  • LCN - Spherical Coordinate Routing for 3D wireless ad-hoc and sensor networks
    2008 33rd IEEE Conference on Local Computer Networks (LCN), 2008
    Co-Authors: Shao Tao, A L Ananda, Mun Choon Chan
    Abstract:

    While wireless networks are generally deployed in three dimensional environments, most geometric routing protocols are designed and evaluated with a focus on two dimensional space. In this paper, we present a connectivity based routing protocol in 3D space named Spherical Coordinate Routing(SCR), which exploits connectivity-based greedy forwarding for efficient routing paths and a Spherical Coordinate tree based recovery method to guarantee packet delivery. SCR can deploy multiple recovery trees simultaneously to enhance the routing efficiency and resilience against network dynamics. Simulation results show that the packet delivery ratio of SCR is 22% ~ 63% higher than that of BVR, LCR and NoGeo, at the critical node density range of 4 to 8. The amount of forwarding traffic required per packet delivery is considerably lower than protocols relying on scoped flooding based recovery. The SCR protocol can efficiently recover from topology changes due to clustered node failures, while maintaining excellent path stretch and traffic load performance in a 3D network topology.

Victor Sofonea - One of the best experts on this subject based on the ideXlab platform.

  • High-order thermal lattice Boltzmann models derived by means of Gauss quadrature in the Spherical Coordinate system.
    Physical review. E Statistical nonlinear and soft matter physics, 2012
    Co-Authors: Victor E. Ambrus, Victor Sofonea
    Abstract:

    We use the Spherical Coordinate system in the momentum space and an appropriate discretization procedure to derive a hierarchy of lattice Boltzmann (LB) models with variable temperature. The separation of the integrals in the momentum space into angular and radial parts allows us to compute the moments of the equilibrium distribution function by means of Gauss-Legendre and Gauss-Laguerre quadratures, as well as to find the elements of the discrete momentum set for each LB model in the hierarchy. The capability of the high-order models in this hierarchy to capture specific effects in microfluidics is investigated through a computer simulation of Couette flow by using the Shakhov collision term to get the right value of the Prandtl number.

  • Thermal Lattice Boltzmann models derived by Gauss quadrature using the Spherical Coordinate system
    Journal of Physics: Conference Series, 2012
    Co-Authors: Victor E. Ambrus, Victor Sofonea
    Abstract:

    A hierarchy of thermal Lattice Boltzmann models is derived by separation of variables using the Spherical Coordinate system in the momentum space. The moments of the equilibrium distribution function are computed by means of Gauss-Legendre and Gauss-Laguerre quadratures. This procedure allows us to find the discrete momentum vectors for each model in the hierarchy. The Shakov collision term is used to get the right value of the Prandtl number. Computer simulation of Couette flow is used to illustrate the capability of these models to capture specific effects in microfluidics.

Shao Tao - One of the best experts on this subject based on the ideXlab platform.

  • Spherical Coordinate routing for 3d wireless ad hoc and sensor networks
    Local Computer Networks, 2008
    Co-Authors: Shao Tao, A L Ananda, Mun Choon Chan
    Abstract:

    While wireless networks are generally deployed in three dimensional environments, most geometric routing protocols are designed and evaluated with a focus on two dimensional space. In this paper, we present a connectivity based routing protocol in 3D space named Spherical Coordinate Routing(SCR), which exploits connectivity-based greedy forwarding for efficient routing paths and a Spherical Coordinate tree based recovery method to guarantee packet delivery. SCR can deploy multiple recovery trees simultaneously to enhance the routing efficiency and resilience against network dynamics. Simulation results show that the packet delivery ratio of SCR is 22% ~ 63% higher than that of BVR, LCR and NoGeo, at the critical node density range of 4 to 8. The amount of forwarding traffic required per packet delivery is considerably lower than protocols relying on scoped flooding based recovery. The SCR protocol can efficiently recover from topology changes due to clustered node failures, while maintaining excellent path stretch and traffic load performance in a 3D network topology.

  • LCN - Spherical Coordinate Routing for 3D wireless ad-hoc and sensor networks
    2008 33rd IEEE Conference on Local Computer Networks (LCN), 2008
    Co-Authors: Shao Tao, A L Ananda, Mun Choon Chan
    Abstract:

    While wireless networks are generally deployed in three dimensional environments, most geometric routing protocols are designed and evaluated with a focus on two dimensional space. In this paper, we present a connectivity based routing protocol in 3D space named Spherical Coordinate Routing(SCR), which exploits connectivity-based greedy forwarding for efficient routing paths and a Spherical Coordinate tree based recovery method to guarantee packet delivery. SCR can deploy multiple recovery trees simultaneously to enhance the routing efficiency and resilience against network dynamics. Simulation results show that the packet delivery ratio of SCR is 22% ~ 63% higher than that of BVR, LCR and NoGeo, at the critical node density range of 4 to 8. The amount of forwarding traffic required per packet delivery is considerably lower than protocols relying on scoped flooding based recovery. The SCR protocol can efficiently recover from topology changes due to clustered node failures, while maintaining excellent path stretch and traffic load performance in a 3D network topology.

Victor E. Ambrus - One of the best experts on this subject based on the ideXlab platform.

  • High-order thermal lattice Boltzmann models derived by means of Gauss quadrature in the Spherical Coordinate system.
    Physical review. E Statistical nonlinear and soft matter physics, 2012
    Co-Authors: Victor E. Ambrus, Victor Sofonea
    Abstract:

    We use the Spherical Coordinate system in the momentum space and an appropriate discretization procedure to derive a hierarchy of lattice Boltzmann (LB) models with variable temperature. The separation of the integrals in the momentum space into angular and radial parts allows us to compute the moments of the equilibrium distribution function by means of Gauss-Legendre and Gauss-Laguerre quadratures, as well as to find the elements of the discrete momentum set for each LB model in the hierarchy. The capability of the high-order models in this hierarchy to capture specific effects in microfluidics is investigated through a computer simulation of Couette flow by using the Shakhov collision term to get the right value of the Prandtl number.

  • Thermal Lattice Boltzmann models derived by Gauss quadrature using the Spherical Coordinate system
    Journal of Physics: Conference Series, 2012
    Co-Authors: Victor E. Ambrus, Victor Sofonea
    Abstract:

    A hierarchy of thermal Lattice Boltzmann models is derived by separation of variables using the Spherical Coordinate system in the momentum space. The moments of the equilibrium distribution function are computed by means of Gauss-Legendre and Gauss-Laguerre quadratures. This procedure allows us to find the discrete momentum vectors for each model in the hierarchy. The Shakov collision term is used to get the right value of the Prandtl number. Computer simulation of Couette flow is used to illustrate the capability of these models to capture specific effects in microfluidics.

A L Ananda - One of the best experts on this subject based on the ideXlab platform.

  • Spherical Coordinate routing for 3d wireless ad hoc and sensor networks
    Local Computer Networks, 2008
    Co-Authors: Shao Tao, A L Ananda, Mun Choon Chan
    Abstract:

    While wireless networks are generally deployed in three dimensional environments, most geometric routing protocols are designed and evaluated with a focus on two dimensional space. In this paper, we present a connectivity based routing protocol in 3D space named Spherical Coordinate Routing(SCR), which exploits connectivity-based greedy forwarding for efficient routing paths and a Spherical Coordinate tree based recovery method to guarantee packet delivery. SCR can deploy multiple recovery trees simultaneously to enhance the routing efficiency and resilience against network dynamics. Simulation results show that the packet delivery ratio of SCR is 22% ~ 63% higher than that of BVR, LCR and NoGeo, at the critical node density range of 4 to 8. The amount of forwarding traffic required per packet delivery is considerably lower than protocols relying on scoped flooding based recovery. The SCR protocol can efficiently recover from topology changes due to clustered node failures, while maintaining excellent path stretch and traffic load performance in a 3D network topology.

  • LCN - Spherical Coordinate Routing for 3D wireless ad-hoc and sensor networks
    2008 33rd IEEE Conference on Local Computer Networks (LCN), 2008
    Co-Authors: Shao Tao, A L Ananda, Mun Choon Chan
    Abstract:

    While wireless networks are generally deployed in three dimensional environments, most geometric routing protocols are designed and evaluated with a focus on two dimensional space. In this paper, we present a connectivity based routing protocol in 3D space named Spherical Coordinate Routing(SCR), which exploits connectivity-based greedy forwarding for efficient routing paths and a Spherical Coordinate tree based recovery method to guarantee packet delivery. SCR can deploy multiple recovery trees simultaneously to enhance the routing efficiency and resilience against network dynamics. Simulation results show that the packet delivery ratio of SCR is 22% ~ 63% higher than that of BVR, LCR and NoGeo, at the critical node density range of 4 to 8. The amount of forwarding traffic required per packet delivery is considerably lower than protocols relying on scoped flooding based recovery. The SCR protocol can efficiently recover from topology changes due to clustered node failures, while maintaining excellent path stretch and traffic load performance in a 3D network topology.