Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying communities in static graphs. Recently, ...
Abstract—Medium Access Control (MAC) implementations control access of network devices to a transmission medium. For emerging communication protocols, the MAC is typically implemented in software, to enable adaptation to ...
A central challenge facing sensor network research and development is the difficulty in providing effective autonomous management capability. This is due to a large number
of parameters to control, unexpected changes of ...
Wireless Sensor Networks (WSNs) are almost exclusively regarded as data gathering entities. Various sensed data elements are captured and routed back to a central server for processing, visualization and interpretation. ...
The performance of three artificial neural network (NN) methods for combining simulated river flows, based on three different neural network structures, are compared. These network structures are; the simple neural network ...
The maturity of pervasive computing and Wireless Sensor Networks (WSNs) enables the development of smart environments in many scenarios, including surveillance and environmental monitoring. Extensive research efforts are ...
Wireless Sensor Networks(WSNs) are primarily regarded as data gathering entities that route data to a central server for subsequent processing. However, as WSN technologies mature and their prevalence increases, it is ...
Mobile computing is undoubtedly one of the predominant computer usage paradigms in operation today. The implications of what might be cautiously termed a usage paradigm shift have still not crystallised fully, either for ...
Within this paper, Sensorworld is proposed as a platform for the evaluation and comparison of resource-bounded intelligence, and its effectiveness is proven through the implementation of a series of simulations on ...