Fog computing for next-generation internet of things: fundamental, state-of-the-art and research challenges
In recent times, the Internet of Things (IoT) applications, including smart transportation, smart
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …
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 …
Machine learning algorithms for wireless sensor networks: A survey
Wireless sensor network (WSN) is one of the most promising technologies for some real-
time applications because of its size, cost-effective and easily deployable nature. Due to …
time applications because of its size, cost-effective and easily deployable nature. Due to …
Renewable energy harvesting schemes in wireless sensor networks: A survey
DK Sah, T Amgoth - Information Fusion, 2020 - Elsevier
Abstract Wireless Sensor Networks (WSNs) are emerging as they demands for various
applications, for example, military surveillance, home automation, vehicle tracking …
applications, for example, military surveillance, home automation, vehicle tracking …
EDGF: Empirical dataset generation framework for wireless sensor networks
In wireless sensor networks (WSNs), simulation practices, system models, algorithms, and
protocols have been published worldwide based on the assumption of randomness. The …
protocols have been published worldwide based on the assumption of randomness. The …
Big data collection in large-scale wireless sensor networks
Data collection is one of the main operations performed in Wireless Sensor Networks
(WSNs). Even if several interesting approaches on data collection have been proposed …
(WSNs). Even if several interesting approaches on data collection have been proposed …
An extended ACO-based mobile sink path determination in wireless sensor networks
In wireless sensor networks (WSNs), a mobile sink accumulate the data instead of routing
directly to the sink to avoid the hotspot problem. In this process, it traverses a predetermined …
directly to the sink to avoid the hotspot problem. In this process, it traverses a predetermined …
Data collection and path determination strategies for mobile sink in 3D WSNs
Wireless sensor networks (WSNs) are composed with a set of sensor nodes, and its primary
task is to sense and relay the data to the base station or sink. Sensor nodes are equipped …
task is to sense and relay the data to the base station or sink. Sensor nodes are equipped …
Objective-variable tour planning for mobile data collection in partitioned sensor networks
Data collection with mobile elements can improve energy efficiency and balance load
distribution in wireless sensor networks (WSNs). However, complex network environments …
distribution in wireless sensor networks (WSNs). However, complex network environments …
Data gathering via mobile sink in WSNs using game theory and enhanced ant colony optimization
Optimal performance and improved lifetime are the most desirable design benchmarks for
WSNs and the mechanism for data gathering is a major constituent influencing these …
WSNs and the mechanism for data gathering is a major constituent influencing these …