Abstract—We study the design of sampling trajectories for stable sampling and reconstruction of bandlimited spatial fields using mobile sensors. As a performance metric we use the path density of a set of sampling trajectories, defined as the total distance traveled by the moving sensors per unit spatial volume of the spatial region being monitored. We obtain new results for the problem of designing stable sampling trajectories with minimal path density, that admit perfect reconstruction of bandlimited fields. In particular, we identify the set of parallel lines with minimal path density that contains a set of stable sampling for isotropic fields. I
Wireless sensor networks (WSNs) play a vital role in environmental monitoring. Advances in mobile se...
Mobile sensors cover more area over a period of time than same number of stationary sensors. However...
Summary. While spatial sampling has received much attention in recent years, our understanding of sa...
We study the design of sampling trajectories for stable sampling and reconstruction of bandlimited s...
Abstract. We study the design of sampling trajectories for stable sampling and the re-construction o...
Abstract—Classical sampling theory for sampling and re-constructing bandlimited fields in Rd address...
Classical sampling theory for sampling and reconstructing bandlimited fields in $\Re^d$ addresses th...
Abstract—Consider the task of sampling and reconstructing a bandlimited spatial field in using movin...
Abstract—Spatial sampling is traditionally studied in a static setting where static sensors scattere...
Today's wireless sensor nodes can be easily attached to mobile platforms such as robots, cars and ce...
Abstract: This paper provides a decentralized control algorithm for multiple autonomous vehicles to ...
When a scalar field, such as temperature, is to be estimated from sensor readings corrupted by noise...
Sampling of physical fields with mobile sensor is an emerging area. In this context, this work intro...
© 2015 IEEE. This brief addresses the issue of monitoring physical spatial phenomena of interest usi...
Existing adaptive sampling methods for mobile sensors are poorly suited to scenarios in which the se...
Wireless sensor networks (WSNs) play a vital role in environmental monitoring. Advances in mobile se...
Mobile sensors cover more area over a period of time than same number of stationary sensors. However...
Summary. While spatial sampling has received much attention in recent years, our understanding of sa...
We study the design of sampling trajectories for stable sampling and reconstruction of bandlimited s...
Abstract. We study the design of sampling trajectories for stable sampling and the re-construction o...
Abstract—Classical sampling theory for sampling and re-constructing bandlimited fields in Rd address...
Classical sampling theory for sampling and reconstructing bandlimited fields in $\Re^d$ addresses th...
Abstract—Consider the task of sampling and reconstructing a bandlimited spatial field in using movin...
Abstract—Spatial sampling is traditionally studied in a static setting where static sensors scattere...
Today's wireless sensor nodes can be easily attached to mobile platforms such as robots, cars and ce...
Abstract: This paper provides a decentralized control algorithm for multiple autonomous vehicles to ...
When a scalar field, such as temperature, is to be estimated from sensor readings corrupted by noise...
Sampling of physical fields with mobile sensor is an emerging area. In this context, this work intro...
© 2015 IEEE. This brief addresses the issue of monitoring physical spatial phenomena of interest usi...
Existing adaptive sampling methods for mobile sensors are poorly suited to scenarios in which the se...
Wireless sensor networks (WSNs) play a vital role in environmental monitoring. Advances in mobile se...
Mobile sensors cover more area over a period of time than same number of stationary sensors. However...
Summary. While spatial sampling has received much attention in recent years, our understanding of sa...