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)
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)
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)
—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)
—Congestion management is a key factor in the provision of acceptable levels of quality of service (QoS) on wired networks. However, the concept of congestion management does not translate easily into the wireless domain. Active Queue Management (AQM) solutions for congestion avoidance have proved effective in wired networks but have not gained much(More)
—In highly mobile ad hoc networks the neighbourhood status evolves rapidly. Routing tables which are populated with an " out of date " view of the neighbourhood produce an overhead in the routing process which can affect the QoS of the communication and the stability of the network interconnectivity. To maintain correct network state information, periodic "(More)
The energy efficient design of wireless sensor networks necessitates optimizations at both the system and individual node level. Node-level energy conservation and power aware decisions can lead to better overall performance and may complement any power saving techniques employed in the network infrastructure. A computationally efficient, polynomial shift(More)
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