Internet of Things (IoT) is a novel design paradigm, intended as a network of billions to
trillions of tiny sensors communicating with each other to offer innovative solutions to real …

Localization in wireless sensor networks (WSNs) is regarded as an emerging technology for
numerous cyber-physical system applications, which equips wireless sensors with the …

Long-memory, or more generally fractal, processes are known to play an important role in
many scientific disciplines and applied fields such as physics, geophysics, hydrology …

Fractional processes are widely found in science, technology and engineering systems. In
Fractional Processes and Fractional-order Signal Processing, some complex random …

Identifying anomalies rapidly and accurately is critical to the efficient operation of large
computer networks. Accurately characterizing important classes of anomalies greatly …

The recent discovery of scaling phenomena in modern communication networks involving
self-similarity or fractals and power-law or heavy-tailed distributions is yet another realization …

A joint estimator is presented for the two parameters that define the long-range dependence
phenomenon in the simplest case. The estimator is based on the coefficients of a discrete …

We develop a new multiscale modeling framework for characterizing positive-valued data
with long-range-dependent correlations (1/f noise). Using the Haar wavelet transform and a …

Using the CRSP (Center for Research in Security Prices) daily stock return data, we revisit
the question of whether or not actual stock market prices exhibit long-range dependence …

Recent network traffic studies argue that network arrival processes are much more faithfully
modeled using statistically self-similar processes instead of traditional Poisson processes …