About: Subnetwork is a research topic. Over the lifetime, 864 publications have been published within this topic receiving 13209 citations. The topic is also known as: subnet.
TL;DR: A protocol that, given a communication network, computes a subnetwork such that, for every pair of nodes connected in the original network, there is a a minimum-energy path between u and /spl upsi/ in the subnetwork (where aMinimumEnergy path is one that allows messages to be transmitted with a minimum use of energy).
Abstract: We propose a protocol that, given a communication network, computes a subnetwork such that, for every pair (u, /spl upsi/) of nodes connected in the original network, there is a a minimum-energy path between u and /spl upsi/ in the subnetwork (where a minimum-energy path is one that allows messages to be transmitted with a minimum use of energy). The network computed by our protocol is in general a subnetwork of the one computed by the protocol given by Rodoplu and Meng (see IEEE J. Selected Areas in Communications, vol.17, no.8, p.1333-44, 1999). Moreover, our protocol is computationally simpler. We demonstrate the performance improvements obtained by using the subnetwork computed by our protocol through simulation.
TL;DR: In this article, the authors propose a protocol that, given a communication network, computes a subnetwork such that, for every pair of nodes connected in the original network, there is a minimum-energy path between $u$ and $v$ in the subnetwork.
Abstract: We propose a protocol that, given a communication network, computes a subnetwork such that, for every pair $(u,v)$ of nodes connected in the original network, there is a minimum-energy path between $u$ and $v$ in the subnetwork (where a minimum-energy path is one that allows messages to be transmitted with a minimum use of energy). The network computed by our protocol is in general a subnetwork of the one computed by the protocol given in [13]. Moreover, our protocol is computationally simpler. We demonstrate the performance improvements obtained by using the subnetwork computed by our protocol through simulation.
TL;DR: An ATM-based implementation of DT-DVTR in LEO satellite ISL networks is presented with some emphasis on the optimization alternatives, and the performance in terms of delay jitter is evaluated for an example ISL topology.
Abstract: Satellite systems are going to build a part of the future personal communications infrastructure. The first-generation candidates for satellite personal communication networks (S-PCN) will rely on low Earth orbit (LEO) and medium Earth orbit (MEO) constellations. A noticeable trend in this field is toward broadband services and the use of ATM. For LEO satellite systems employing intersatellite links (ISLs), this paper proposes an overall networking concept that introduces the strengths of ATM to their operation. The core of the paper is the design of a new routing scheme for the periodically time-variant ISL subnetwork, discrete-time dynamic virtual topology routing (DT-DVTR), and its ATM implementation. DT-DVTR works completely off line, i.e., prior to the operational phase of the system. In a first step, a virtual topology is set up for all successive time intervals of the system period, providing instantaneous sets of alternative paths between all source-destination node pairs. In the second step, path sequences over a series of time interval are chosen from that according to certain optimization procedures. An ATM-based implementation of DT-DVTR in LEO satellite ISL networks is presented with some emphasis on the optimization alternatives, and the performance in terms of delay jitter is evaluated for an example ISL topology.
TL;DR: This work presents fastcore, a generic algorithm for reconstructing context-specific metabolic network models from global genome-wide metabolicnetwork models such as Recon X, and shows that a minimal consistent reconstruction can be defined via a set of sparse modes of the global network.
Abstract: Systemic approaches to the study of a biological cell or tissue rely increasingly on the use of context-specific metabolic network models. The reconstruction of such a model from high-throughput data can routinely involve large numbers of tests under different conditions and extensive parameter tuning, which calls for fast algorithms. We present fastcore, a generic algorithm for reconstructing context-specific metabolic network models from global genome-wide metabolic network models such as Recon X. fastcore takes as input a core set of reactions that are known to be active in the context of interest (e.g., cell or tissue), and it searches for a flux consistent subnetwork of the global network that contains all reactions from the core set and a minimal set of additional reactions. Our key observation is that a minimal consistent reconstruction can be defined via a set of sparse modes of the global network, and fastcore iteratively computes such a set via a series of linear programs. Experiments on liver data demonstrate speedups of several orders of magnitude, and significantly more compact reconstructions, over a rival method. Given its simplicity and its excellent performance, fastcore can form the backbone of many future metabolic network reconstruction algorithms.
TL;DR: In this article, the authors propose a system and method for bridging the POTS network and a packet network such as the Internet, using a set of access objects that provide the interfacing and functionality for exchanging address and payload information with the packet network, and for exchanging payload and address information with payload sub-networks.
Abstract: A system and method for bridging the POTS network and a packet network, such as the Internet, uses a set of access objects that provide the interfacing and functionality for exchanging address and payload information with the packet network, and for exchanging payload information with the payload subnetwork and signaling information with the signaling subnetwork of the POTS network. The system includes a communications management object that coordinates the transfer of information between the POTS network and the packet network; a payload object that transfers payload information between the system and the payload subnetwork of the first communications network; a signaling object that transfers signaling information between the system and the signaling subnetwork of the first communications network in accordance with a signaling protocol associated with the signaling subnetwork; and a packet object that transfers payload and address information between the system and the second communications network in accordance with a communications protocol associated with the second communications network. An alternative embodiment uses a plurality of payload, signaling and packet objects to provide a scalable system.