A novel self-adaptive multi-strategy artificial bee colony algorithm for coverage optimization in wireless sensor networks
Wireless sensor node coverage optimization is a critical issue in wireless sensor networks
(WSN), which is a commonly typical NP-hard problem. To enhance the coverage of wireless …
(WSN), which is a commonly typical NP-hard problem. To enhance the coverage of wireless …
Learning paradigms for communication and computing technologies in IoT systems
Wireless communication and computation technologies are becoming increasingly complex
and dynamic due to the sophisticated and ubiquitous Internet of things (IoT) applications …
and dynamic due to the sophisticated and ubiquitous Internet of things (IoT) applications …
RSSI quantization and genetic algorithm based localization in wireless sensor networks
This paper proposes a RSSI quantization and genetic algorithm based localization method.
To quantize RSSI measurements from sensor nodes, we first divide sensing disks of nodes …
To quantize RSSI measurements from sensor nodes, we first divide sensing disks of nodes …
An accurate UWB based localization system using modified leading edge detection algorithm
Ultra-wideband (UWB) localization systems have gained wide attention in precise indoor
positioning applications, due to the usage of high bandwidth signals. We propose a modified …
positioning applications, due to the usage of high bandwidth signals. We propose a modified …
Novel learning algorithms for efficient mobile sink data collection using reinforcement learning in wireless sensor network
Generally, wireless sensor network is a group of sensor nodes which is used to continuously
monitor and record the various physical, environmental, and critical real time application …
monitor and record the various physical, environmental, and critical real time application …
[HTML][HTML] An optimized ensemble model for predicting average localization error of wireless sensor networks
Wireless sensor networks (WSNs) are widely utilized in various applications due to their
compact size, cost-effectiveness, and ease of deployment. Nonetheless, one of the biggest …
compact size, cost-effectiveness, and ease of deployment. Nonetheless, one of the biggest …
Multisensors fusion for trajectory tracking based on variational normalizing flow
The problem of multisensors fusion target trajectory tracking under the Bayesian variational
inference (VI) is to find the jointly accurate posterior distribution. In this article, a joint …
inference (VI) is to find the jointly accurate posterior distribution. In this article, a joint …
A node location algorithm based on improved whale optimization in wireless sensor networks
P Gou, B He, Z Yu - Wireless Communications and Mobile …, 2021 - Wiley Online Library
With the popularity of swarm intelligence algorithms, the positioning of nodes to be located
in wireless sensor networks (WSNs) has received more and more attention. To overcome …
in wireless sensor networks (WSNs) has received more and more attention. To overcome …
An energy efficient prediction based protocol for target tracking in wireless sensor networks
Target tracking is one of the most attractive applications of wireless sensor networks, used
for estimating the moving target's position accurately. A primary challenge in this domain is …
for estimating the moving target's position accurately. A primary challenge in this domain is …
Sensor-networked underwater target tracking based on grubbs criterion and improved particle filter algorithm
Y Zhang, L Gao - IEEE Access, 2019 - ieeexplore.ieee.org
For target tracking in underwater wireless sensor networks (WSNs), the contributions of the
measured values of each sensor node are different for data fusion, so a better weighted …
measured values of each sensor node are different for data fusion, so a better weighted …