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)
I. INTRODUCTION Active Queue Management denotes a class of algorithms designed to provide improved queueing mechanisms for routers. Research in this area was inspired by the original RED proposal [1] in 1993. These schemes are called active because they dynamically signal congestion to sources; either explicitly , by marking packets (e.g. Explicit(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)
Active queue management (AQM) schemes are a class of queueing algorithms designed to surmount some of the shortcomings of classic drop-tail queues in best effort networks. Most AQM algorithms are primarily designed to improve congestion control through early notification. However, significant work has been done on more advanced AQM schemes designed to(More)
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—Efficient data communication among autonomous underwater vehicles (AUVs) is difficult. Challenges include the long propagation delays arising with acoustic communication solutions, and line-of-sight requirements for optical transceivers. Existing multi-hop routing approaches are not always appropriate due to node mobility. This work presents a centralized(More)