Mobility based network lifetime in wireless sensor networks: A review
Increasingly emerging technologies in micro-electromechanical systems and wireless
communications allows mobile wireless sensor networks (MWSNs) to be a more and more …
communications allows mobile wireless sensor networks (MWSNs) to be a more and more …
Decision-Theoretic Approaches for Robotic Environmental Monitoring--A Survey
Robotics has dramatically increased our ability to gather data about our environments. This
is an opportune time for the robotics and algorithms community to come together to …
is an opportune time for the robotics and algorithms community to come together to …
Hybrid sequential fusion estimation for asynchronous sensor network-based target tracking
X Yang, WA Zhang, MZQ Chen… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This brief presents a sequential fusion estimation method for maneuvering target tracking in
asynchronous wireless sensor networks. The modeling error caused by asynchronous …
asynchronous wireless sensor networks. The modeling error caused by asynchronous …
Energy efficient data acquisition techniques using context aware sensing for landslide monitoring systems
Real-time wireless sensor networks are an emerging technology for continuous
environmental monitoring. But real-world deployments are constrained by resources, such …
environmental monitoring. But real-world deployments are constrained by resources, such …
Least square and Gaussian process for image based microalgal density estimation
Efficiently monitoring microalgal density in real time is critical in closed systems of cultivating
algae. In the monitoring methods proposed in the literature, image based techniques …
algae. In the monitoring methods proposed in the literature, image based techniques …
Learn to sense: A meta-learning-based sensing and fusion framework for wireless sensor networks
H Wu, Z Zhang, C Jiao, C Li… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) act as the backbone of Internet of Things (IoT) technology.
In WSN, field sensing and fusion are the most commonly seen problems, which involve …
In WSN, field sensing and fusion are the most commonly seen problems, which involve …
Energy modeling and adaptive sampling algorithms for energy‐harvesting powered nodes with sampling rate limitations
This article explores the implementation of different sampling strategies for a practical
energy‐harvesting wireless device (sensor node) powered by a rechargeable battery. We …
energy‐harvesting wireless device (sensor node) powered by a rechargeable battery. We …
A Survey of Decision-Theoretic Approaches for Robotic Environmental Monitoring
Robotics has dramatically increased our ability to gather data about our environments,
creating an opportunity for the robotics and algorithms communities to collaborate on novel …
creating an opportunity for the robotics and algorithms communities to collaborate on novel …
Adaptive sampling for spatial prediction in environmental monitoring using wireless sensor networks: A review
The paper presents a review of the spatial prediction problem in the environmental
monitoring applications by utilizing stationary and mobile robotic wireless sensor networks …
monitoring applications by utilizing stationary and mobile robotic wireless sensor networks …
Efficient sensor deployments for spatio-temporal environmental monitoring
This paper addresses the problem of efficiently deploying sensors in spatial environments,
eg, buildings, for the purposes of monitoring spatio-temporal environmental phenomena. By …
eg, buildings, for the purposes of monitoring spatio-temporal environmental phenomena. By …