Félix F. Ramos-Corchado

A Self-Organization Algorithm for Robust Networking of Wireless Devices

This paper deals with distributed creation and maintaining of ad hoc networks including diverse wireless devices, namely sensors, PDA, cell phones, and video games consoles. A cluster-based self-organizing strategy is proposed for building a backbone among the mobile devices, detecting segmentation, and recovery. In this approach, each mobile device is controlled by a multi-role agent, which performs these tasks efficiently based only on local interactions; role management allows the backbone reconfiguration when the nodes leave or arrive to the network yielding a complex global emergent behavior. Energy saving is achieved by adapting the time interval and power of transmission after the network formation. Simulations showed that the distributed algorithms performance is close to that obtained by an optimizing global procedure.

An Obligation Approach for Exception Handling in Interaction Protocols

Given the dynamic interaction presented in multiagent systems, the occurrence of exceptions in interaction protocols is frequent, and therefore a critical issue. However, current approaches for designing interaction protocols lack semantics to direct the exchange of messages, when exceptions are raised. Here, we propose modeling exception handlers by means of obligations, which are social norms that provide a semantic layer that helps to select, compose and evaluate exception handlers.

RFID composite event definition and detection

RFID systems generate large volume of data about localization of people and objects; this information is filtered by a middleware and sent to upper level applications so they can detect events happening in the environment and react properly. This approach implies two drawbacks: firstly, developers invest time programming how to analyze data; secondly, network resources could be unnecessarily wasted when middleware sends data which is irrelevant for the application. To overcome these drawbacks, we present an approach where applications define composite events of interest through a XML-based language, and filtered information is analyzed by a new layer in order to notify applications only when interesting events occur. We present our language called RFID-CEDL for defining interesting events using RFID data and we describe the mechanism used to recognize such events. As demonstration of our approach, we present examples for a hospital environment.