Ciarán Mc Goldrick

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Energy continues to be the key constraint in wireless sensor networks. We review existing methods for estimating software power consumption and battery modelling, as applied to embedded systems such as Wireless Sensor Networks. We consider current developments in hardware and software technology, in particular the availability of high-fidelity simulators.(More)
Reciprocal peer learning involves students learning from, and with, each other. This paper details a peer learning centred course where small teams of students design and develop a multifunctional robot using LEGO Mindstorms™. In particular, it describes how students were introduced to the concept of peer learning and outlines how the learning environment(More)
Mobile wireless sensor networks are gaining increasinguse in both military and civilian applications. Priorto deployment, it is often necessary to test the communication capabilities and power consumption of these networks. Typically network simulators, such as ns-2 and TOSSIM, are used to carry out these performance tests. However, the analysis of results(More)
—TinyTorrents integrates Wireless Sensor Networks with the BitTorrent Peer-to-Peer protocol and is designed to respect the resource constrained environment which characterises many WSN's. This paper describes the architecture and design which underpins the TinyTorrents system and explores many of the technical challenges that arise in the fusion of such(More)
Unmanned aerial vehicles, also known as drones, are often characterized as representing the next big disruptive change in our everyday interaction with technology. Indeed some commentators have suggested that their impact will be as significant as that of the Internet. It is thus incumbent upon modern, foresightful educators to integrate these platforms(More)
Underwater Communications is very much an experimental science because of the complex medium-the water-and its unpredictable propagation properties, thus mandating experiments to validate theory. The medium is particularly challenging for the transmission of acoustic and optical signals. Thus, the true performance of a transmitter/receiver system can be(More)
—Quality-oriented network service provisioning can take place at the network level using estimates of Intrinsic Quality of Service (IQoS) parameters or at the user level through measurements of the end-user Quality of Experience (QoE). While IQoS parameters are quantitative and measurement based, QoE estimates are more difficult to obtain as they usually(More)