Machine learning in wireless sensor networks: Algorithms, strategies, and applications
Wireless sensor networks (WSNs) monitor dynamic environments that change rapidly over
time. This dynamic behavior is either caused by external factors or initiated by the system …
time. This dynamic behavior is either caused by external factors or initiated by the system …
Routing in wireless sensor networks using machine learning techniques: Challenges and opportunities
Energy conservation is the primary task in Wireless Sensor Networks (WSNs) as these tiny
sensor nodes are the backbone of today's Internet of Things (IoT) applications. These nodes …
sensor nodes are the backbone of today's Internet of Things (IoT) applications. These nodes …
Dynamic power management in wireless sensor networks: State-of-the-art
W Dargie - IEEE Sensors Journal, 2011 - ieeexplore.ieee.org
In the last few years, interest in wireless sensor networks has increased considerably. These
networks can be useful for a large number of applications, including habitat monitoring …
networks can be useful for a large number of applications, including habitat monitoring …
Evolution and sustainability of a wildlife monitoring sensor network
As sensor network technologies become more mature, they are increasingly being applied
to a wide variety of applications, ranging from agricultural sensing to cattle, oceanic and …
to a wide variety of applications, ranging from agricultural sensing to cattle, oceanic and …
Radio frequency energy harvesting and management for wireless sensor networks
AM Zungeru, LM Ang… - Green mobile devices …, 2012 - api.taylorfrancis.com
Radio frequency (RF) energy harvesting holds a promising future for generating a small
amount of electrical power to drive partial circuits in wireless communicating electronics …
amount of electrical power to drive partial circuits in wireless communicating electronics …
WILDSENSING: Design and deployment of a sustainable sensor network for wildlife monitoring
The increasing adoption of wireless sensor network technology in a variety of applications,
from agricultural to volcanic monitoring, has demonstrated their ability to gather data with …
from agricultural to volcanic monitoring, has demonstrated their ability to gather data with …
The design and implementation of a declarative sensor network system
Sensor networks are notoriously difficult to program, given that they encompass the
complexities of both distributed and embedded systems. To address this problem, we …
complexities of both distributed and embedded systems. To address this problem, we …
Green computing for wireless sensor networks: Optimization and Huffman coding approach
Lifetime maximization has witnessed continuous attention from academia as well as
industries right from the inception of Wireless Sensor Networks (WSNs). Recently, mobile …
industries right from the inception of Wireless Sensor Networks (WSNs). Recently, mobile …
SenseCode: Network coding for reliable sensor networks
Designing a communication protocol for sensor networks often involves obtaining the right
trade-off between energy efficiency and end-to-end packet error rate. In this article, we show …
trade-off between energy efficiency and end-to-end packet error rate. In this article, we show …
Data cleansing for energy-saving: a case of Cyber-Physical Machine Tools health monitoring system
Cyber-Physical Production Systems (CPPS) often use wireless sensor networks (WSNs) for
monitoring purposes. However, data from WSNs may be inaccurate and unreliable due to …
monitoring purposes. However, data from WSNs may be inaccurate and unreliable due to …