The Experts below are selected from a list of 1470 Experts worldwide ranked by ideXlab platform

Yuning Song - One of the best experts on this subject based on the ideXlab platform.

  • TCCN: Tag-assisted Content Centric Networking for Internet of Things
    2015 IEEE 16th International Symposium on A World of Wireless Mobile and Multimedia Networks (WoWMoM), 2015
    Co-Authors: Yuning Song
    Abstract:

    As one of the future networking architecture, Content Centric Networking (CCN) regards content as a first-class network entity and fits Internet of Things (IoT) applications well. CCN retrieves contents by their unique hierarchical names. However, in IoT, different autonomous networks have their own naming rules. When a mobile node enters a new network environment and interacts with local networks, it can hardly know the exact name of the content that it needs. In this paper, we propose Tag-assisted Content Centric Networking (TCCN) for IoT, which is a more flexible and efficient scheme for the content sharing between mobile node and local IoT network. We design the tables and structures of three basic components of CCN. Based on counting bloom filter, we further design Tag Filter (TF) for interest-content matching and Forwarding Information lookup. By using TF, Content Store (CS) can quickly check whether coming Interests can be satisfied locally. Moreover, in our designed Tag-based Forwarding Information Base (T-FIB), we change the traditional prefix-faces structure into face-tags structure, which can greatly reduce the size of FIB and the lookup time consumption. We design the Tag-based Caching Strategy (TCS), by which the node can decide whether to cache the coming content according to the TF and a counter threshold. By using TCS, contents with similar set of tags are cached intensively, which benefits the Forwarding Information.We conduct simulations to evaluate the validity and performance of our proposed methods.

  • WOWMOM - TCCN: Tag-assisted Content Centric Networking for Internet of Things
    2015 IEEE 16th International Symposium on A World of Wireless Mobile and Multimedia Networks (WoWMoM), 2015
    Co-Authors: Yuning Song, Huadong Ma
    Abstract:

    As one of the future networking architecture, Content Centric Networking (CCN) regards content as a first-class network entity and fits Internet of Things (IoT) applications well. CCN retrieves contents by their unique hierarchical names. However, in IoT, different autonomous networks have their own naming rules. When a mobile node enters a new network environment and interacts with local networks, it can hardly know the exact name of the content that it needs. In this paper, we propose Tag-assisted Content Centric Networking (TCCN) for IoT, which is a more flexible and efficient scheme for the content sharing between mobile node and local IoT network. We design the tables and structures of three basic components of CCN. Based on counting bloom filter, we further design Tag Filter (TF) for interest-content matching and Forwarding Information lookup. By using TF, Content Store (CS) can quickly check whether coming Interests can be satisfied locally. Moreover, in our designed Tag-based Forwarding Information Base (T-FIB), we change the traditional prefix-faces structure into face-tags structure, which can greatly reduce the size of FIB and the lookup time consumption. We design the Tag-based Caching Strategy (TCS), by which the node can decide whether to cache the coming content according to the TF and a counter threshold. By using TCS, contents with similar set of tags are cached intensively, which benefits the Forwarding Information.We conduct simulations to evaluate the validity and performance of our proposed methods.

Chiu-kuo Liang - One of the best experts on this subject based on the ideXlab platform.

  • WCNIS - Steiner trees grid routing protocol in wireless sensor networks
    2010 IEEE International Conference on Wireless Communications Networking and Information Security, 2010
    Co-Authors: Chiu-kuo Liang
    Abstract:

    In a wireless sensor network, it is an important task to periodically collect data from an area of interest for time-sensitive applications. The sensed data must be gathered and transmitted to a base station for further processing to meet the end-user queries. Since the network consists of low-cost nodes with limited battery power, it is a challenging task to design an efficient routing scheme that can collect massive data and offer good performance in energy efficiency, and long network lifetimes. Grid structure was proposed for energy efficient data routing. Instead of propagating query messages from sink to all sensors to set up data Forwarding Information, the grid structure uses only sensors located at the grid points needed to acquire the Forwarding Information. In this paper, we propose an energy-efficient routing technique, called Steiner Trees Grid Routing (STGR) protocol, to improve the performance of previous grid routing protocols. Simulation results show that STGR achieves a better solution in data delivery and therefore ensures more energy efficient of data transmission in wireless sensor networks.

  • Steiner Points Routing Protocol for Wireless Sensor Networks
    2010 5th International Conference on Future Information Technology, 2010
    Co-Authors: Chiu-kuo Liang, Chih-shiuan Li
    Abstract:

    In wireless sensor networks, it is an important task to periodically collect data from an area of interest for time-sensitive applications. The sensed data must be gathered and transmitted to a base station for further processing to meet the end-user queries. Since the network consists of low-cost nodes with limited battery power, it is a challenging task to design an efficient routing scheme that can collect massive data and offer good performance in energy efficiency, and long network lifetimes. Grid structure was proposed for energy efficient data routing. Instead of propagating query messages from sink to all sensors to set up data Forwarding Information, the grid structure uses only sensors located at the grid points needed to acquire the Forwarding Information. In this paper, we propose an energy-efficient routing technique, called Steiner Points Grid Routing (SPGR) protocol, to improve the performance of previous grid routing protocols. Simulation results show that SPGR achieves a better solution in data deliverer and therefore ensures that data transmit more efficiently in wireless sensor networks.

  • CSE (1) - Spiral Grid Routing for Load Balance in Wireless Sensor Networks
    2009 International Conference on Computational Science and Engineering, 2009
    Co-Authors: Chiu-kuo Liang, Chih-shiuan Li
    Abstract:

    In wireless sensor networks, it is an important task to periodically collect data from an area of interest for time-sensitive applications. The sensed data must be gathered and transmitted to a base station for further processing to meet the end-user queries. Since the network consists of low-cost nodes with limited battery power, it is a challenging task to design an efficient routing scheme that can collect massive data and offer good performance in energy efficiency, and long network lifetimes. Grid structure was proposed for energy efficient data routing. Instead of propagating query messages from sink to all sensors to set up data Forwarding Information, the grid structure uses only sensors located at the grid points needed to acquire the Forwarding Information. In this paper, we propose a load balancing routing technique, called Spiral Grid Routing (SGR) protocol, to improve the performance of previous grid routing protocols. Simulation results show that SGR achieves a better solution in load balancing and therefore prolongs the network’s lifetime in wireless sensor networks.

  • Spiral Grid Routing for Load Balance in Wireless Sensor Networks
    2009 International Conference on Computational Science and Engineering, 2009
    Co-Authors: Chiu-kuo Liang, Chih-shiuan Li
    Abstract:

    In wireless sensor networks, it is an important task to periodically collect data from an area of interest for time-sensitive applications. The sensed data must be gathered and transmitted to a base station for further processing to meet the end-user queries. Since the network consists of low-cost nodes with limited battery power, it is a challenging task to design an efficient routing scheme that can collect massive data and offer good performance in energy efficiency, and long network lifetimes. Grid structure was proposed for energy efficient data routing. Instead of propagating query messages from sink to all sensors to set up data Forwarding Information, the grid structure uses only sensors located at the grid points needed to acquire the Forwarding Information. In this paper, we propose a load balancing routing technique, called Spiral Grid Routing (SGR) protocol, to improve the performance of previous grid routing protocols. Simulation results show that SGR achieves a better solution in load balancing and therefore prolongs the network's lifetime in wireless sensor networks.

Chih-shiuan Li - One of the best experts on this subject based on the ideXlab platform.

  • Steiner Points Routing Protocol for Wireless Sensor Networks
    2010 5th International Conference on Future Information Technology, 2010
    Co-Authors: Chiu-kuo Liang, Chih-shiuan Li
    Abstract:

    In wireless sensor networks, it is an important task to periodically collect data from an area of interest for time-sensitive applications. The sensed data must be gathered and transmitted to a base station for further processing to meet the end-user queries. Since the network consists of low-cost nodes with limited battery power, it is a challenging task to design an efficient routing scheme that can collect massive data and offer good performance in energy efficiency, and long network lifetimes. Grid structure was proposed for energy efficient data routing. Instead of propagating query messages from sink to all sensors to set up data Forwarding Information, the grid structure uses only sensors located at the grid points needed to acquire the Forwarding Information. In this paper, we propose an energy-efficient routing technique, called Steiner Points Grid Routing (SPGR) protocol, to improve the performance of previous grid routing protocols. Simulation results show that SPGR achieves a better solution in data deliverer and therefore ensures that data transmit more efficiently in wireless sensor networks.

  • CSE (1) - Spiral Grid Routing for Load Balance in Wireless Sensor Networks
    2009 International Conference on Computational Science and Engineering, 2009
    Co-Authors: Chiu-kuo Liang, Chih-shiuan Li
    Abstract:

    In wireless sensor networks, it is an important task to periodically collect data from an area of interest for time-sensitive applications. The sensed data must be gathered and transmitted to a base station for further processing to meet the end-user queries. Since the network consists of low-cost nodes with limited battery power, it is a challenging task to design an efficient routing scheme that can collect massive data and offer good performance in energy efficiency, and long network lifetimes. Grid structure was proposed for energy efficient data routing. Instead of propagating query messages from sink to all sensors to set up data Forwarding Information, the grid structure uses only sensors located at the grid points needed to acquire the Forwarding Information. In this paper, we propose a load balancing routing technique, called Spiral Grid Routing (SGR) protocol, to improve the performance of previous grid routing protocols. Simulation results show that SGR achieves a better solution in load balancing and therefore prolongs the network’s lifetime in wireless sensor networks.

  • Spiral Grid Routing for Load Balance in Wireless Sensor Networks
    2009 International Conference on Computational Science and Engineering, 2009
    Co-Authors: Chiu-kuo Liang, Chih-shiuan Li
    Abstract:

    In wireless sensor networks, it is an important task to periodically collect data from an area of interest for time-sensitive applications. The sensed data must be gathered and transmitted to a base station for further processing to meet the end-user queries. Since the network consists of low-cost nodes with limited battery power, it is a challenging task to design an efficient routing scheme that can collect massive data and offer good performance in energy efficiency, and long network lifetimes. Grid structure was proposed for energy efficient data routing. Instead of propagating query messages from sink to all sensors to set up data Forwarding Information, the grid structure uses only sensors located at the grid points needed to acquire the Forwarding Information. In this paper, we propose a load balancing routing technique, called Spiral Grid Routing (SGR) protocol, to improve the performance of previous grid routing protocols. Simulation results show that SGR achieves a better solution in load balancing and therefore prolongs the network's lifetime in wireless sensor networks.

John S. Baras - One of the best experts on this subject based on the ideXlab platform.

  • CNSM - Towards Reduced-State Service Chaining with Source Routing
    2018
    Co-Authors: Chrysa Papagianni, Panagiotis Papadimitriou, John S. Baras
    Abstract:

    The widespread adoption of Network Function Virtualization (NFV) poses significant dataplane scalability limitations in datacenters (DC), as switches will be required to maintain a large amount of Forwarding state for service chaining. This problem is exacerbated by the small Forwarding Information Base (FIB) of commodity switches, which are typically deployed in NFV infrastructures.To mitigate this problem, we present a routing fabric that combines source routing with pathlet switching in order to (i) achieve state reduction and (ii) provide support for longer paths, hence, meeting the increased hop-count requirement of service chains. Coupling the proposed source routing fabric with a service chain embedding method, we achieve significant gains in terms of FIB consumption, request acceptance, and revenue generation.

  • Towards Reduced-State Service Chaining with Source Routing
    2018 14th International Conference on Network and Service Management (CNSM), 2018
    Co-Authors: Chrysa Papagianni, Panagiotis Papadimitriou, John S. Baras
    Abstract:

    The widespread adoption of Network Function Virtualization (NFV) poses significant dataplane scalability limitations in datacenters (DC), as switches will be required to maintain a large amount of Forwarding state for service chaining. This problem is exacerbated by the small Forwarding Information Base (FIB) of commodity switches, which are typically deployed in NFV infrastructures. To mitigate this problem, we present a routing fabric that combines source routing with pathlet switching in order to (i) achieve state reduction and (ii) provide support for longer paths, hence, meeting the increased hop-count requirement of service chains. Coupling the proposed source routing fabric with a service chain embedding method, we achieve significant gains in terms of FIB consumption, request acceptance, and revenue generation.

Huadong Ma - One of the best experts on this subject based on the ideXlab platform.

  • WOWMOM - TCCN: Tag-assisted Content Centric Networking for Internet of Things
    2015 IEEE 16th International Symposium on A World of Wireless Mobile and Multimedia Networks (WoWMoM), 2015
    Co-Authors: Yuning Song, Huadong Ma
    Abstract:

    As one of the future networking architecture, Content Centric Networking (CCN) regards content as a first-class network entity and fits Internet of Things (IoT) applications well. CCN retrieves contents by their unique hierarchical names. However, in IoT, different autonomous networks have their own naming rules. When a mobile node enters a new network environment and interacts with local networks, it can hardly know the exact name of the content that it needs. In this paper, we propose Tag-assisted Content Centric Networking (TCCN) for IoT, which is a more flexible and efficient scheme for the content sharing between mobile node and local IoT network. We design the tables and structures of three basic components of CCN. Based on counting bloom filter, we further design Tag Filter (TF) for interest-content matching and Forwarding Information lookup. By using TF, Content Store (CS) can quickly check whether coming Interests can be satisfied locally. Moreover, in our designed Tag-based Forwarding Information Base (T-FIB), we change the traditional prefix-faces structure into face-tags structure, which can greatly reduce the size of FIB and the lookup time consumption. We design the Tag-based Caching Strategy (TCS), by which the node can decide whether to cache the coming content according to the TF and a counter threshold. By using TCS, contents with similar set of tags are cached intensively, which benefits the Forwarding Information.We conduct simulations to evaluate the validity and performance of our proposed methods.