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By placing processing-capable devices at the edge of local wireless access networks, Edge Computing architectures have been recently proposed to connect mobile devices to computational power through a one-hop low-latency wireless link. In this paper, we propose a new design where edge assistance is used to control local data filtering at the mobile devices in bandwidth and energy constrained systems...
A novel semantic approach to data selection and compression is presented for the dynamic adaptation of IoT data processing and transmission within “wireless islands”, where a set of sensing devices (sensors) are interconnected through one-hop wireless links to a computational resource via a local access point. The core of the proposed technique is a cooperative framework where local classifiers at...
Battery and energy management methodologies such as automotive climate controls have been proposed to address the design challenges of driving range and battery lifetime in Electric Vehicles (EV). However, driving behavior estimation is a major factor neglected in these methodologies. In this paper, we propose a novel contextaware methodology for estimating the driving behavior in terms of future...
An approach to parametric identification of the transmission processes of the terminals in a wireless network is proposed, presenting a tradeoff between accuracy of capturing the temporal dependencies in observations of transmission processes and the time complexity of the estimation procedure. The maximum likelihood estimator is built for an approximation of the true likelihood function for the observed...
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