Showing papers by "Kongu Engineering College published in 2004"

Performance comparison of multicast protocol for physically hierarchical ad hoc networks using neural concepts

Abstract: An ad hoc network is a dynamically reconfigurable wireless network with no fixed infrastructure or central administration. Each host is mobile and must act as a router. Routing and multicasting protocols in ad hoc networks are faced with the challenge of delivering data to destinations through multihop routes in the presence of node movements and topology changes. Most of the proposed algorithms assume physically flat network architecture with mobile hosts having homogenous capability in terms of network resources and computing power. In practice however, this assumption often may not hold true since there exists various types of mobile hosts with different role and mobility pattern. Here we consider mobile ad hoc network that have physically hierarchical architecture where different types of mobile hosts form an ad hoc network hierarchy. A way for automatically organizing the hierarchical architecture is provided by the self-organizing map (SOM). The self-organizing map is one of the most prominent artificial neural network models adhering to the unsupervised learning paradigm. The simulation of the hierarchical ad hoc networks using neural concepts yields better performance.

Correlations of vapour-liquid critical point parameters of alkali metals

Abstract: The critical temperature, critical compressibility factor and the inversion temperature of cesium, rubidium and potassium are correlated through the generalized van der Waals equation of state. This three-parameter equation differs from the known van der Waals equation of state by the modified attractive term. For cesium, rubidium and potassium, the reduced inversion temperature and its ratio to the critical compressibility factor were estimated. The results of estimation were in agreement with experimental data. It has been established that cesium, rubidium and potassium obeyed the single-parameter law of corresponding states with the reduced inversion temperature or its ratio to the critical compressibility factor as the thermodynamic similarity parameter.

Congestion control in ATM networks using fuzzy logic

Abstract: Summary form only given. Congestion in an ATM network is a condition in which performance degrades due to saturation of the network resources such as available communication links, processor speed and buffer capacity. The connection/call admission control (CAC) procedures determine if sufficient resources are available in the network to support the requested call. In this paper, a fuzzy logic based system is presented to deal with the congestion control problem in asynchronous transfer mode (ATM) networks. We examine the conventional CAC and fuzzy based CAC systems. The conventional CAC systems that utilize either capacity estimation or buffer thresholds are incapable of obtaining complete statistics on input traffic. This paper exploits the fuzzy concepts in order to provide effective congestion control in ATM networks. The investigation is based on the simulation of peak cell rate (PCR), sustained cell rate (SCR) and number of calls accepted.