Real-time performance is critical for many time-sensitive applications of wireless sensor networks. We present a constrained flooding protocol, called CFlood that enhances the deadline satisfaction ratio per unit energy consumption of time-sensitive packets in sensor networks. CFlood improves real-time performance by flooding, but effectively constrains energy consumption by controlling the sca...

Real-world changes are generally discovered delayed by computer systems. The typical update patterns for traditional data warehouses on an overnight or even weekly basis enlarge this propagation delay until the information is available to knowledge workers. Typically, traditional data warehouses focus on summarized data (at some level) rather than detail data. For active data warehouse environm...

In traditional approaches to energy efficient routing, a node needs to receive routing messages from all of its neighbors to be able to select the best route. In a previous work, we have proposed a technique that enables the best route selection based on exactly one message reception [1]. Our protocol delays forwarding of routing messages (RREQ) for an interval inversely proportional to the res...

In this paper we study the stability of a recently proposed flow control algorithm for fair bandwidth sharing of a bottleneck access link. We present necessary conditions for stability for an arbitrary set of propagation delays. The analysis presented also facilitates proper configuration of the algorithms parameters.

The collective classification problem for big data sets using MapReduce programming model was considered in the paper. We introduced a proposal for implementation of label propagation algorithm in the network. The method was examined on real dataset in telecommunication domain. The results indicated that it can be used to classify nodes in order to propose new offerings or tariffs to customers.

In this article we present the supervised iterative projections and rotations (s-ipr) algorithm, a method for learning discriminative incoherent subspaces from data. We derive s-ipr as a supervised extension of our previously proposed iterative projections and rotations (ipr) algorithm for incoherent dictionary learning, and we employ it to learn incoherent sub-spaces that model signals belongi...

This paper describes a data compression system using Evolvable Hardware (EHW) for digital color electrophotographic (EP) printers. EP printing is an important technology within digital printing, which is currently having a significant impact on the printing and publishing industry. Although, it requires data-compression to reduce the cost for transferring and storing large EP images, traditiona...

The delays are the mathematical models of the delay circuits. Delay theory is the mathematical theory that considers the fundamental circuit in digital electronics be the delay circuit and modeling is made by using delays and Boolean functions. The most detailed level of modeling is considered, starting from the delays that occur in gates and wires. Relative inertia is the property of the state...

The Integrated Data Analysis (IDA) concept allows one to combine data from different experiments to obtain improved results. Heterogeneous and complementary experimental data as well as various kinds of physical prior information are easily integrated employing Bayesian probability theory. The concepts of IDA are compared to the traditional approach for data analysis where sequential analysis a...

This paper provides a preliminary investigation into the impact a link with changing propagation delay has on the performance of TCP file transfers. We investigate over a dozen different variable delay patterns, based on spacecraft movement. We highlight the performance impact of such variability, paying close attention to TCP’s retransmission timer, which is based on the observed round-trip ti...