This paper addresses the information theoretical analysis of data compression achieved by
random linear network coding in wireless sensor networks. A sparse network coding matrix …

We address the problem of data collection in a wireless sensor network. Network coding is
used for data delivery. The correlation between the measurements is exploited to recover …

In this paper, we study joint network coding and distributed source coding of inter-node
dependent messages, with the perspective of compressed sensing. Specifically, the …

Since the observed signals of nearby sensors are known to be correlated, this paper firstly
investigates the connection between network coding and compression concept of …

In this paper, we study the data gathering problem in the context of power grids by using a
network of sensors, where the sensed data have inter-node redundancy. Specifically, we …

A linear compressive network (LCN) is defined as a graph of sensors in which each
encoding sensor compresses incoming jointly Gaussian random signals and transmits …

Measurements from sensor networks consisting of thousands of nodes are often correlated,
since nearby sensors observe the same phenomenon. Using Compressed Sensing, that …

A modular system architecture based on separate compression and network coding is
known to be theoretically suboptimal for relevant classes of sensor networks with correlated …

This paper presents a joint source and network coding scheme, called compressive network
coding (CNC), for approximate data gathering in wireless sensor networks. Injecting the …

We investigate the joint application of compressive sensing and network coding to the
problem of energy efficient data gathering in wireless sensor networks. We consider the …