Collaborative sensing in internet of things: A comprehensive survey
Collaborative sensing leverages the cooperation of a collection of sensors to complete a
large-scale sensing task in Internet of Things (IoT). Although some previous studies have …
large-scale sensing task in Internet of Things (IoT). Although some previous studies have …
A survey of network lifetime maximization techniques in wireless sensor networks
Emerging technologies, such as the Internet of Things, smart applications, smart grids, and
machine-to-machine networks stimulate the deployment of autonomous, self-configuring …
machine-to-machine networks stimulate the deployment of autonomous, self-configuring …
[PDF][PDF] A PSO based energy efficient coverage control algorithm for wireless sensor networks.
J Wang, C Ju, Y Gao, AK Sangaiah… - Computers, Materials & …, 2018 - e-tarjome.com
Wireless Sensor Networks (WSNs) are large-scale and high-density networks that typically
have coverage area overlap. In addition, a random deployment of sensor nodes cannot fully …
have coverage area overlap. In addition, a random deployment of sensor nodes cannot fully …
The sensable city: A survey on the deployment and management for smart city monitoring
In last two decades, various monitoring systems have been designed and deployed in urban
environments, toward the realization of the so called smart cities. Such systems are based …
environments, toward the realization of the so called smart cities. Such systems are based …
Cluster-based routing protocols in wireless sensor networks: A survey based on methodology
F Fanian, MK Rafsanjani - Journal of Network and Computer Applications, 2019 - Elsevier
In today's world that all sciences and technologies, including Wireless Sensor Networks
(WSNs) are dealing with the improvement of the existing solutions, we are looking for time …
(WSNs) are dealing with the improvement of the existing solutions, we are looking for time …
Particle swarm optimization based clustering algorithm with mobile sink for WSNs
Wireless sensor networks with fixed sink node often suffer from hot spots problem since
sensor nodes close to the sink usually have more traffic burden to forward during …
sensor nodes close to the sink usually have more traffic burden to forward during …
Machine learning for advanced wireless sensor networks: A review
Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …
Metasurface inverse design using machine learning approaches
X Shi, T Qiu, J Wang, X Zhao, S Qu - Journal of Physics D …, 2020 - iopscience.iop.org
Conventional metasurface design methods usually require a lot of computational resources
and time, meaning they fail to satisfy the efficient, rapid design on demand. On account of …
and time, meaning they fail to satisfy the efficient, rapid design on demand. On account of …
Machine learning for coverage optimization in wireless sensor networks: a comprehensive review
In the context of wireless sensor networks (WSNs), the utilization of artificial intelligence (AI)-
based solutions and systems is on the ascent. These technologies offer significant potential …
based solutions and systems is on the ascent. These technologies offer significant potential …
Mate: Benchmarking multi-agent reinforcement learning in distributed target coverage control
Abstract We introduce the Multi-Agent Tracking Environment (MATE), a novel multi-agent
environment simulates the target coverage control problems in the real world. MATE hosts …
environment simulates the target coverage control problems in the real world. MATE hosts …