A Multiagent Platform for Ubiquitous Service Provision

The Virtual Home Environment is very important in contemporary mobile telecommunications infrastructure as it caters for the ubiquitous provision of services irrespective of network, location and user device. The universality of systems like Universal Mobile Telecommunications System and wi-fi increases the need for the rapid introduction of efficient VHE schemes. In this paper, we study the adoption of Mobile Agents for handling the VHE functionality. Mobile agents are nicely harmonized with the broader idea of VHE as they allow the autonomous execution of tasks by components that roam from node to node and network to network. We present the detailed modeling of a VHE provisioning architecture and investigate its suitability for different use cases and technical options (e.g., end user devices). The adoption of mobile agents for the ubiquitous provision of telecommunication services is quite promising in terms of efficiency. Through a series of experiments we quantify the performance benefits stemming from the adoption of mobile agents in contrast to conventional service provisioning schemes.     

Enhanced path prediction for network resource management in wireless LANs

Path prediction is currently being considered for use in the context of mobile and wireless computing toward more efficient network resource management schemes. Path prediction allows the network and services to further enhance the quality of service levels the user enjoys. Such mechanisms are mostly meaningful in infrastructures like wireless LANs. In this article we present a path prediction algorithm that exploits the machine learning algorithm of learning automata. The decision of the learning automaton is driven by the movement patterns of a single user but is also affected by the aggregated patterns demonstrated by all users. Simulations of the algorithm, performed using the realistic mobility pattern generator, show increased prediction accuracy.     

A realistic mobility pattern generator for the performance evaluation of mobile computing mechanisms

A platform for the simulation of mobility functions (e.g. protocols, application architectures) is presented. This platform, named RMPG, is based on the assumption that real humans exhibit considerable spatial and temporal regularity in their moves. We base our simulation environment on the random way‐point algorithm incorporated in the ns tool. We review other approaches, simulation tools and mobility models. Through the RMPG, that has been implemented in Java, we performed a series of simulations by considering a path prediction algorithm as a mobility function scheme. We present our results. Copyright © 2003 John Wiley & Sons, Ltd.