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Pietro Manzoni - One of the best experts on this subject based on the ideXlab platform.

  • An algorithm to evaluate routing conditions in smartphones-based wireless networks
    Expert Systems With Applications, 2013
    Co-Authors: David Soler, José Albiach, Eulalia Martínez, Pietro Manzoni
    Abstract:

    Abstract The increasing penetration of smartphones, i.e., smart Devices with multiple sensing and communication interfaces, creates the possibility to build novel types of networks. Opportunistic Networking and Content-Based Networking strongly rely on the use of such Devices. Smartphones tend to have an ON/OFF status that strongly depends on the user activity, mobility pattern and energy saving approach. Wireless adaptors are, after the terminal screen, the strongest source of power consumption. It is therefore common for a node to occasionally turn off the Networking Device to save energy. The impact on routing of the presence of nodes in the off-state must therefore be thoroughly evaluated. We propose an analytical model based on evolving graphs, which provides an exhaustive evaluation of routing conditions with the aim to determine the best recurring strategy and parameters when dealing with end-Devices that show an ON–OFF behavior. Computational results are given, both on static and dynamic scenarios.

  • WiMob - Modeling Routing in Smartphones-based wireless networks using evolving graphs
    2012 IEEE 8th International Conference on Wireless and Mobile Computing Networking and Communications (WiMob), 2012
    Co-Authors: David Soler, José Albiach, Eulalia Martínez, Pietro Manzoni
    Abstract:

    The increasing penetration of smartphones, i.e., smart Devices with multiple sensing and communication interfaces, creates the possibility to build novel types of networks. Wireless adaptors are, after the terminal screen, the strongest source of power consumption. It is therefore common for a node to occasionally turn off the Networking Device to save energy. The effect of the presence of nodes in the off-state must therefore be thoroughly evaluated. We propose an analytical model based on evolving graphs. Our proposal provides an exhaustive evaluation of an ideal routing protocol whose aim is to determine the worst case conditions when adopting a Device switching-off strategy to save energy. The complexity of our algorithm is demonstrated to be O(nT2), n being the number of nodes, and T being the width of the time interval studied. We also show, through experimental results, that routing protocols for SWN must deal with 2 issues: a low percentage of delivered packets and with long paths.

David Soler - One of the best experts on this subject based on the ideXlab platform.

  • An algorithm to evaluate routing conditions in smartphones-based wireless networks
    Expert Systems With Applications, 2013
    Co-Authors: David Soler, José Albiach, Eulalia Martínez, Pietro Manzoni
    Abstract:

    Abstract The increasing penetration of smartphones, i.e., smart Devices with multiple sensing and communication interfaces, creates the possibility to build novel types of networks. Opportunistic Networking and Content-Based Networking strongly rely on the use of such Devices. Smartphones tend to have an ON/OFF status that strongly depends on the user activity, mobility pattern and energy saving approach. Wireless adaptors are, after the terminal screen, the strongest source of power consumption. It is therefore common for a node to occasionally turn off the Networking Device to save energy. The impact on routing of the presence of nodes in the off-state must therefore be thoroughly evaluated. We propose an analytical model based on evolving graphs, which provides an exhaustive evaluation of routing conditions with the aim to determine the best recurring strategy and parameters when dealing with end-Devices that show an ON–OFF behavior. Computational results are given, both on static and dynamic scenarios.

  • WiMob - Modeling Routing in Smartphones-based wireless networks using evolving graphs
    2012 IEEE 8th International Conference on Wireless and Mobile Computing Networking and Communications (WiMob), 2012
    Co-Authors: David Soler, José Albiach, Eulalia Martínez, Pietro Manzoni
    Abstract:

    The increasing penetration of smartphones, i.e., smart Devices with multiple sensing and communication interfaces, creates the possibility to build novel types of networks. Wireless adaptors are, after the terminal screen, the strongest source of power consumption. It is therefore common for a node to occasionally turn off the Networking Device to save energy. The effect of the presence of nodes in the off-state must therefore be thoroughly evaluated. We propose an analytical model based on evolving graphs. Our proposal provides an exhaustive evaluation of an ideal routing protocol whose aim is to determine the worst case conditions when adopting a Device switching-off strategy to save energy. The complexity of our algorithm is demonstrated to be O(nT2), n being the number of nodes, and T being the width of the time interval studied. We also show, through experimental results, that routing protocols for SWN must deal with 2 issues: a low percentage of delivered packets and with long paths.

José Albiach - One of the best experts on this subject based on the ideXlab platform.

  • An algorithm to evaluate routing conditions in smartphones-based wireless networks
    Expert Systems With Applications, 2013
    Co-Authors: David Soler, José Albiach, Eulalia Martínez, Pietro Manzoni
    Abstract:

    Abstract The increasing penetration of smartphones, i.e., smart Devices with multiple sensing and communication interfaces, creates the possibility to build novel types of networks. Opportunistic Networking and Content-Based Networking strongly rely on the use of such Devices. Smartphones tend to have an ON/OFF status that strongly depends on the user activity, mobility pattern and energy saving approach. Wireless adaptors are, after the terminal screen, the strongest source of power consumption. It is therefore common for a node to occasionally turn off the Networking Device to save energy. The impact on routing of the presence of nodes in the off-state must therefore be thoroughly evaluated. We propose an analytical model based on evolving graphs, which provides an exhaustive evaluation of routing conditions with the aim to determine the best recurring strategy and parameters when dealing with end-Devices that show an ON–OFF behavior. Computational results are given, both on static and dynamic scenarios.

  • WiMob - Modeling Routing in Smartphones-based wireless networks using evolving graphs
    2012 IEEE 8th International Conference on Wireless and Mobile Computing Networking and Communications (WiMob), 2012
    Co-Authors: David Soler, José Albiach, Eulalia Martínez, Pietro Manzoni
    Abstract:

    The increasing penetration of smartphones, i.e., smart Devices with multiple sensing and communication interfaces, creates the possibility to build novel types of networks. Wireless adaptors are, after the terminal screen, the strongest source of power consumption. It is therefore common for a node to occasionally turn off the Networking Device to save energy. The effect of the presence of nodes in the off-state must therefore be thoroughly evaluated. We propose an analytical model based on evolving graphs. Our proposal provides an exhaustive evaluation of an ideal routing protocol whose aim is to determine the worst case conditions when adopting a Device switching-off strategy to save energy. The complexity of our algorithm is demonstrated to be O(nT2), n being the number of nodes, and T being the width of the time interval studied. We also show, through experimental results, that routing protocols for SWN must deal with 2 issues: a low percentage of delivered packets and with long paths.

Eulalia Martínez - One of the best experts on this subject based on the ideXlab platform.

  • An algorithm to evaluate routing conditions in smartphones-based wireless networks
    Expert Systems With Applications, 2013
    Co-Authors: David Soler, José Albiach, Eulalia Martínez, Pietro Manzoni
    Abstract:

    Abstract The increasing penetration of smartphones, i.e., smart Devices with multiple sensing and communication interfaces, creates the possibility to build novel types of networks. Opportunistic Networking and Content-Based Networking strongly rely on the use of such Devices. Smartphones tend to have an ON/OFF status that strongly depends on the user activity, mobility pattern and energy saving approach. Wireless adaptors are, after the terminal screen, the strongest source of power consumption. It is therefore common for a node to occasionally turn off the Networking Device to save energy. The impact on routing of the presence of nodes in the off-state must therefore be thoroughly evaluated. We propose an analytical model based on evolving graphs, which provides an exhaustive evaluation of routing conditions with the aim to determine the best recurring strategy and parameters when dealing with end-Devices that show an ON–OFF behavior. Computational results are given, both on static and dynamic scenarios.

  • WiMob - Modeling Routing in Smartphones-based wireless networks using evolving graphs
    2012 IEEE 8th International Conference on Wireless and Mobile Computing Networking and Communications (WiMob), 2012
    Co-Authors: David Soler, José Albiach, Eulalia Martínez, Pietro Manzoni
    Abstract:

    The increasing penetration of smartphones, i.e., smart Devices with multiple sensing and communication interfaces, creates the possibility to build novel types of networks. Wireless adaptors are, after the terminal screen, the strongest source of power consumption. It is therefore common for a node to occasionally turn off the Networking Device to save energy. The effect of the presence of nodes in the off-state must therefore be thoroughly evaluated. We propose an analytical model based on evolving graphs. Our proposal provides an exhaustive evaluation of an ideal routing protocol whose aim is to determine the worst case conditions when adopting a Device switching-off strategy to save energy. The complexity of our algorithm is demonstrated to be O(nT2), n being the number of nodes, and T being the width of the time interval studied. We also show, through experimental results, that routing protocols for SWN must deal with 2 issues: a low percentage of delivered packets and with long paths.

Zongo Pawendtaore Eliezer - One of the best experts on this subject based on the ideXlab platform.

  • Bug traces: identifying and downsizing packet traces with failures triggered in Networking Devices
    IEEE Communications Magazine, 2014
    Co-Authors: Ying-dar Lin, Yuan-cheng Lai, Zongo Pawendtaore Eliezer
    Abstract:

    Testing Networking Devices before releasing them onto the market is a way of ensuring quality and robustness. Replaying artificial or realworld traffic is a method to test Networking Devices. Using real-world traffic is desirable as it uncovers more realistic properties. The challenges of testing with real-world traffic are mainly the high volume of the captured traces and the prolonged time required for replay testing. In order to efficiently reproduce the failures of Networking Devices and reduce the replay time, it is necessary to reduce the size of the traces that have triggered the failures. In this work, two algorithms used to downsize the traces but still retain the failures they triggered, Binary Downsizing (BD) and Linear Downsizing (LD), are proposed. Meanwhile, a metric called downsizing ratio (DR), the ratio between the size of the downsized traces and that of the original traces, is defined in order to evaluate the efficiency of the trace downsizing. Three kinds of probes following the basic RFC benchmarking requirements, ARP, ICMP, and HTTP requests, are regularly sent to diagnose the Devices during the testing. ARP and ICMP probes test the reachability of a Networking Device hosted on the local network, and HTTP probes check if the Device still responds to users? requests. The evaluation of failure distribution shows that 70 percent of failures happened because they failed to respond to one of the three probes, 23 percent failed to respond to two probes, and 7 percent failed to respond to all probes. From the downsizing experiments, LD was inferred to have a slightly higher DR than that of BD, but BD generally would require fewer iterations than LD.