Add to ORKGAbstract—This paper addresses sensor network applications which need to obtain an accurate image of physical phenomena and do so with a high sampling rate in both time and space. We present a fast and scalable approach for obtaining an approxi-mate representation of all sensor readings at high sampling rate for quickly reacting to critical events in a physical environment. This approach is an improvement on previous work in that after the new approach has undergone a startup phase then the new approach can use a very small sampling period. I
Since WSNs suffer from sever resource constraints, in terms of energy, memory and processing, tempor...
A multi-hop network of wireless sensors can be used to gather spatio-temporal samples of a physical ...
Compressive Sampling (CS) is a powerful sampling technique that allows accurately reconstructing a c...
This paper addresses sensor network applications which need to obtain an accurate image of physical ...
The availability of small inexpensive sensor elements enables the employment of large wired or wirel...
We present a distributed algorithm for cyber-physical systems to obtain a snapshot of sensor data. T...
Consider the problem of designing an algorithm for acquiring sensor readings. Consider specifically ...
Networks of wireless micro-sensors are envisioned to be the prominent choice for on-site monitoring ...
Consider a network where all nodes share a single broadcast domain such as a wired broadcast networ...
In this paper, we develop a new sensor network system with a high sampling rate (over 500 Hz) based ...
A wireless sensor network monitors the environment at a macroscopic level. It comprises interconnect...
This paper presents an adaptive sampling and sensing method for mobile sensor networks to reduce the...
In this paper, we describe a novel, computationally efficient algorithm that facilitates the autonom...
In this paper, we describe a novel, computationally efficient algorithm that facilitates the autonom...
In this paper, we focus on large-scale and dense Cyber- Physical Systems, and discuss methods that ...
Since WSNs suffer from sever resource constraints, in terms of energy, memory and processing, tempor...
A multi-hop network of wireless sensors can be used to gather spatio-temporal samples of a physical ...
Compressive Sampling (CS) is a powerful sampling technique that allows accurately reconstructing a c...
This paper addresses sensor network applications which need to obtain an accurate image of physical ...
The availability of small inexpensive sensor elements enables the employment of large wired or wirel...
We present a distributed algorithm for cyber-physical systems to obtain a snapshot of sensor data. T...
Consider the problem of designing an algorithm for acquiring sensor readings. Consider specifically ...
Networks of wireless micro-sensors are envisioned to be the prominent choice for on-site monitoring ...
Consider a network where all nodes share a single broadcast domain such as a wired broadcast networ...
In this paper, we develop a new sensor network system with a high sampling rate (over 500 Hz) based ...
A wireless sensor network monitors the environment at a macroscopic level. It comprises interconnect...
This paper presents an adaptive sampling and sensing method for mobile sensor networks to reduce the...
In this paper, we describe a novel, computationally efficient algorithm that facilitates the autonom...
In this paper, we describe a novel, computationally efficient algorithm that facilitates the autonom...
In this paper, we focus on large-scale and dense Cyber- Physical Systems, and discuss methods that ...
Since WSNs suffer from sever resource constraints, in terms of energy, memory and processing, tempor...
A multi-hop network of wireless sensors can be used to gather spatio-temporal samples of a physical ...
Compressive Sampling (CS) is a powerful sampling technique that allows accurately reconstructing a c...