An ad hoc wireless mobile network is an infrastructure-less network that has no fixed routes; instead, all nodes are capable of movement and can be connected dynamically in an arbitrary manner. In order to facilitate ...
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An ad hoc wireless mobile network is an infrastructure-less network that has no fixed routes; instead, all nodes are capable of movement and can be connected dynamically in an arbitrary manner. In order to facilitate communication of mobile nodes that may not be within the wireless range of each other, an efficient routing protocol is needed to discover routes between nodes so that messages may be delivered in a timely manner. Therefore in this paper, we propose routing with load balancing using mobile agent (RLBMA). We use the concept of mobile agent (MA) for route discovery and balance the traffic load on the route. This MA selects the disjoint (alternate) path called active path set (APS) for reliable transmission to avoid congestion. RLBMA provides topology updation and path maintenance also. A comprehensive simulation study was conducted to evaluate the performance of the proposed scheme. Performance results shows that MA approach outperforms existing ad hoc routing protocols in terms of packet delivery fraction, average end-to-end delay and normalized routing load.
The largest eigenvalue of the adjacency matrix of a network plays an important role in several network processes (e.g., synchronization of oscillators, percolation on directed networks, and linear stability of equilib...
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The largest eigenvalue of the adjacency matrix of a network plays an important role in several network processes (e.g., synchronization of oscillators, percolation on directed networks, and linear stability of equilibria of network coupled systems). In this paper we develop approximations to the largest eigenvalue of adjacency matrices and discuss the relationships between these approximations. Numerical experiments on simulated networks are used to test our results.
Carbon-9 beams represent one of the possible alternatives (presently under consideration and investigation) to conventional 12C beams for heavy-ion cancer treatment. Interest in this exotic isotope stems from the expe...
We re-examine some the assumptions underlying low frequency scattering of electromagnetic waves. We find an inconsistency in the basic field expansions, and propose a new ansatz through which the inconsistency is addr...
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ISBN:
(纸本)081946399X
We re-examine some the assumptions underlying low frequency scattering of electromagnetic waves. We find an inconsistency in the basic field expansions, and propose a new ansatz through which the inconsistency is addressed. We illustrate by comparing the two methods for scattering of plane waves by a perfectly conducting cylinder, for which the exact solution is known.
Dynamic load balancing (DLB) is an important system function destined to distribute workload among participating nodes to improve throughput and/or execution times of parallel computers. Instead of balancing the load ...
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Dynamic load balancing (DLB) is an important system function destined to distribute workload among participating nodes to improve throughput and/or execution times of parallel computers. Instead of balancing the load in cluster by process migration, or by moving an entire process to a less loaded computer, we make an attempt to balance load by splitting processes into separate jobs and then balance them among nodes. In order to get target, we use mobile agent (MA) to distribute load among nodes in a cluster. In this paper, distributed dynamic load balancing using MA (DDLBMA) technique is presented. We introduce types of agents needed to meet the requirements of the proposed load balancing. Different metrics are used to compare load balancing mechanism with the existing technology. The experiment is carried out on cluster of PC's divided into multiple local area network (LAN) using mobile agent system PMADE (Platform for Mobile agent distribution and execution). Preliminary experimental results demonstrated that the proposed technique is effective.
Although models of branching in arterial and bronchial trees often predict a dependence of bifurcation parameters on the scale of the bifurcating vessels, direct verification of this dependence by comparison with data...
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Although models of branching in arterial and bronchial trees often predict a dependence of bifurcation parameters on the scale of the bifurcating vessels, direct verification of this dependence by comparison with data is uncommon. We compare measurements of bifurcation parameters of airways and arterial trees of different mammals as a function of scale to general features predicted by theoretical models based on minimization of pumping power and network volume. We find that the size dependence is more complex than existing theories based solely on energy and volume minimization explain, and suggest additional factors that may govern the branching at different scales.
We present a general theory for the onset of coherence in collections of heterogeneous maps interacting via a complex connection network. Our method allows the dynamics of the individual uncoupled systems to be either...
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We present a general theory for the onset of coherence in collections of heterogeneous maps interacting via a complex connection network. Our method allows the dynamics of the individual uncoupled systems to be either chaotic or periodic, and applies generally to networks for which the number of connections per node is large. We find that the critical coupling strength at which a transition to synchrony takes place depends separately on the dynamics of the individual uncoupled systems and on the largest eigenvalue of the adjacency matrix of the coupling network. Our theory directly generalizes the Kuramoto model of equal strength all-to-all coupled phase oscillators to the case of oscillators with more realistic dynamics coupled via a large heterogeneous network.
The largest eigenvalue of the adjacency matrix of networks is a key quantity determining several important dynamical processes on complex networks. Based on this fact, we present a quantitative, objective characteriza...
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The largest eigenvalue of the adjacency matrix of networks is a key quantity determining several important dynamical processes on complex networks. Based on this fact, we present a quantitative, objective characterization of the dynamical importance of network nodes and links in terms of their effect on the largest eigenvalue. We show how our characterization of the dynamical importance of nodes can be affected by degree-degree correlations and network community structure. We discuss how our characterization can be used to optimize techniques for controlling certain network dynamical processes and apply our results to real networks.
This paper investigates the exponential stability of a class of delayed cellular neural networks (DCNN's). By means of appropriately dividing the network state variables into several subgroups, the new sufficient ...
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This paper investigates the exponential stability of a class of delayed cellular neural networks (DCNN's). By means of appropriately dividing the network state variables into several subgroups, the new sufficient exponential stability condition is derived by constructing Liapunov functional and using the method of the variation of constant. The condition suitable is associated with some initial values and is represented only by some blocks of the interconnection matrix. An example is discussed to illustrate the results.
We investigate the collective excitations of a one-dimensional Bose-Einstein condensate with repulsive interaction between atoms in a quadratic plus quartic trap. Using variational approaches, the coupled equations of...
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We investigate the collective excitations of a one-dimensional Bose-Einstein condensate with repulsive interaction between atoms in a quadratic plus quartic trap. Using variational approaches, the coupled equations of motions for the center-of-mass coordinate of the condensate and its width are derived. Then, two low-energy excitation modes are obtained analytically. The frequency shift induced by the anharmonic distortion, and the collapse and revival of the collective excitations originating from the nonlinear coupling between the two modes, are discussed.
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