Evangelos Zervas

Learn More
Nonlinear adaptive filters based on a variety of neural network models have been used successfully for system identification and noise-cancellation in a wide class of applications. An important problem in data communications is that of channel equalization, i.e., the removal of interferences introduced by linear or nonlinear message corrupting mechanisms,(More)
During the past years, several attempts have been made to develop functionality for mobility management support and QoS provision in the realm of the IP networks. Since IP was not designed to support such functionality, new protocols have been specified and implemented to tackle these issues. Mobile IP is currently the dominant protocol that allows users to(More)
In our everyday life, we frequently experience cases where persons group together. In those cases, context-aware systems capture and process identical context. Therefore, the need to collaboratively address Context Awareness (CA) emerges. In the considered setting, ad hoc networking between mobile nodes enables the exchange of information, thus, CA is(More)
The introduction of the ATM technology in wireless CPN environments necessitates the design of mobility protocols, since B-ISDN signaling was not developed to support terminal movement. The functionality of mobility protocols consists of the procedures for handover (rerouting of active data connections to a new cell) and for location management (tracking(More)
Mobility and QoS provision are the two most important burdens to solve, before IP becomes truly ubiquitous. Mobile IP and RSVP are the most visible proposals for those problems. Their interoperability, though, is inefficient. To ameliorate the compatibility problem and performance gap, we have proposed the introduction of the RSVP Mobility Proxy. In this(More)
In this paper* we discuss a system that exploits observations derived from sensors, in order to estimate a key factor for pervasive computing and context aware applications: the location of a user. The term “sensors” includes Wi-Fi adapters, IR receivers, etc. The core of the system is the fusion engine which is based on Dynamic Bayesian Networks (DBNs), a(More)
Wireless Sensor Networks (WSN) allows large scale deployments for environmental monitoring applications especially in the Wild land Urban Interface (WUI) (i.e. in areas where forests and rural lands interface with homes, other buildings and infrastructures). In such areas early fire detection is of great importance as the consequences of a fire are(More)
proposed based on multi-sensor technology and neural networks (NNs). The sensed data include environmental temFires are a common, disastrous phenomenon that conperature, smoke density and CO density. The use of NNs stitutes a serious threat. Thus, early detection is of great for automatic detection of smoke is also proposed in [10]. importance as the(More)