In wireless networks, the knowledge of nodal distances is essential for performance analysis and protocol design. When determining distance distributions in random networks, the u...
Accurate network modeling is critical to the design of network protocols. Traditional modeling approaches, such as Discrete Time Markov Chains (DTMC) are limited in their ability ...
The Self-Organising Map is a popular unsupervised neural network model which has been used successfully in various contexts for clustering data. Even though labelled data is not re...
Abstract— In many scenarios the commonly assumed symmetry in multiple relay channels is unrealistic. Therefore, this paper, through analytical and simulation efforts, investigate...
We are concerned with the use of Mobile Agents for information retrieval. A multi-agent system is considered; a number of agents are involved in a collective effort to retrieve di...