In this article we provide a comprehensive review of the existing literature on techniques and
protocols for in-network aggregation in wireless sensor networks. We first define suitable …

This paper presents the first complete design to apply compressive sampling theory to
sensor data gathering for large-scale wireless sensor networks. The successful scheme …

As a burgeoning technique for signal processing, compressed sensing (CS) is being
increasingly applied to wireless communications. However, little work is done to apply CS to …

Intended for network-wide dissemination of commands, configurations and code binaries,
flooding has been investigated extensively in wireless networks. However, little work has yet …

We proposed compressive data gathering (CDG) that leverages compressive sampling (CS)
principle to efficiently reduce communication cost and prolong network lifetime for large …

A data warehouse stores materialized views of data from one or more sources, with the
purpose of efficiently implementing decision-support or OLAP queries. One of the most …

The recently emerged compressive sensing (CS) theory provides a whole new avenue for
data gathering in wireless sensor networks with benefits of universal sampling and …

We focus on wireless sensor networks (WSNs) that perform data collection with the objective
of obtaining the whole dataset at the sink (as opposed to a function of the dataset). In this …

Although compressed sensing (CS) has been envisioned as a useful technique to improve
the performance of wireless sensor networks (WSNs), it is still not very clear how exactly it …

A fundamental challenge in the design of Wireless Sensor Networks (WSNs) is to maximize
their lifetimes especially when they have a limited and non-replenishable energy supply. To …