The next wave of wireless technologies is proliferating in connecting things among
themselves as well as to humans. In the era of the Internet of Things (IoT), billions of …

Distributed coding is a new paradigm for video compression, based on Slepian and Wolf's
and Wyner and Ziv's information-theoretic results from the 1970s. This paper reviews the …

In the last years, wireless sensor networks (WSNs) have gained increasing attention from
both the research community and actual users. As sensor nodes are generally battery …

Learn all you need to know about wireless sensor networks! Protocols and Architectures for
Wireless Sensor Networks provides a thorough description of the nuts and bolts of wireless …

This paper proposes a complete practical methodology for minimizing additive distortion in
steganography with general (nonbinary) embedding operation. Let every possible value of …

Compressive sensing is a signal acquisition framework based on the revelation that a small
collection of linear projections of a sparse signal contains enough information for stable …

Wireless sensor networks produce a large amount of data that needs to be processed,
delivered, and assessed according to the application objectives. The way these data are …

Network information theory promises high gains over simple point-to-point communication
techniques, at the cost of higher complexity. However, lack of structured coding schemes …

In recent years, sensor research has been undergoing a quiet revolution, promising to have
a significant impact throughout society that could quite possibly dwarf previous milestones in …

We show how low-density parity-check (LDPC) codes can be used to compress close to the
Slepian-Wolf limit for correlated binary sources. Focusing on the asymmetric case of …