This paper studies the compressive data gathering problem in terms of Bayesian theory for
wireless sensor networks (WSNs) with a mobile sink. In such WSNs, designing an optimal …

Data gathering is a crucial function of wireless sensor networks (WSNs). In resource-limited
WSNs, it is critical to improve cost-efficiency and prolong network lifetime. Sensor networks …

This paper proposes a novel data gathering method using Compressive Sensing (CS) and
random projection to improve the lifetime of large Wireless Sensor Networks (WSNs). To …

Compressive sensing (CS) provides a new paradigm for efficient data gathering in wireless
sensor networks (WSNs). In this paper, with the assumption that sensor data is sparse we …

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 …

This study addresses the problems of energy and delay in wireless sensor networks
equipped with mobile sinks. The authors jointly consider the compressive sensing (CS) …

Compressive data gathering (CDG) based on compressed sensing (CS) theory for wireless
sensor networks (WSNs) greatly reduces the amount of data transmitted compared with the …

Wireless sensors are attached to all kinds of mobile devices/entities such as mobile phones,
PDAs, vehicles, robots and animals. This generates Mobile Wireless Sensor Networks …

This paper aims to address the problem of network lifetime in wireless sensor networks. Our
analysis jointly considers the cluster-based routing, Compressive Sensing (CS) theory, load …

In this paper, we study the problem of data gathering with compressive sensing (CS) in
wireless sensor networks (WSNs). Unlike the conventional approaches, which require …