The amount of sensory data manifests an explosive growth due to the increasing popularity
of Wireless Sensor Networks (WSNs). The scale of sensory data in many applications has …

The amount of sensory data manifests an explosive growth due to the increasing popularity
of Wireless Sensor Networks. The scale of the sensory data in many applications has …

In wireless sensor networks (WSNs), simulation practices, system models, algorithms, and
protocols have been published worldwide based on the assumption of randomness. The …

With advances in technology, small form-factor sensors are feasible for various kinds of
applications. The improvements on communication technology further make it practical to …

Taking advantage of the data gathering capability of wireless sensor networks (WSNs) as
well as the data storage and processing ability of mobile cloud computing (MCC), WSN …

Wireless sensor network (WSN) in the Internet of Things consists of a large number of
nodes. The proposal of compressive sensing technology provides a novel way for data …

This is a book about (machine) learning from (experimental) data. Many books devoted to
this broad field have been published recently. One even feels tempted to begin the previous …

Compressive sensing (CS)-based in-network data processing is a promising approach to
reduce packet transmission in wireless sensor networks. Existing CS-based data gathering …

Data collection is one of the main operations performed in Wireless Sensor Networks
(WSNs). Even if several interesting approaches on data collection have been proposed …

To deploy a wireless sensor network for the purpose of large-scale monitoring, in this paper,
we propose a heterogeneous and hierarchical wireless sensor network architecture. The …