Distributed sensor networks are designed to provide computation in-situ and in real-time.
The conventional time-reversal imaging approach for microseismic event location may not …

The transformative integration of sensor networks and geophysical imaging techniques
enables the creation of a system to monitor and analyze seismic data in real time as well as …

This paper presents an innovative decentralised seismic tomography computing paradigm
in cyber-physical sensor systems, where each sensor node computes the tomography …

Many real-world wireless sensor network applications such as environmental monitoring,
structural health monitoring, and smart grid can be formulated as a least-squares problem. In …

The use of seismic arrays as a tool for imaging subsurface infrastructures and monitoring the
corresponding underground activities enables real-time subsurface security and …

Many applications in large loosely connected distributed networks (such as wireless sensor
networks) require the distributed solution of linear least squares (dLLS) problems. Ideally, a …

Summary Real-time In-situ Seismic Imaging (RISI) is a breakthrough technology for
monitoring and mapping the subsurface geophysical structures and dynamics in realtime …

The solution of linear least squares problems across large loosely connected distributed
networks (such as wireless sensor networks) requires distributed algorithms which ideally …

Seismic tomographic imaging is a complex process for imaging the subsurface geological
structures. It involves massive data acquisition, signal processing and computing …

Network diagnosis is a vital aspect in ensuring an efficient and robust functioning of any kind
of mesh network. In this paper we present a network diagnosis method which determines the …