Data redundancy reduction for energy-efficiency in wireless sensor networks: A comprehensive review
Wireless Sensor Networks (WSNs) play a significant role in providing an extraordinary
infrastructure for monitoring environmental variations such as climate change, volcanoes …
infrastructure for monitoring environmental variations such as climate change, volcanoes …
Energy-efficient data transmission and aggregation protocol in periodic sensor networks based fog computing
Abstract The Periodic Sensor Networks based fog computing of the Internet of Things (IoT)
represents one of the most providers of the big data on the network because it is …
represents one of the most providers of the big data on the network because it is …
An enhanced K-means and ANOVA-based clustering approach for similarity aggregation in underwater wireless sensor networks
Underwater wireless sensor networks (UWSNs) have recently been proposed as a way to
observe and explore aquatic environments. Sensors in such networks are used to perform …
observe and explore aquatic environments. Sensors in such networks are used to perform …
Comparison of different data aggregation techniques in distributed sensor networks
Wireless sensor networks (WSNs) are almost everywhere, they are exploited for thousands
of applications in a densely distributed manner. Such deployment makes WSNs one of the …
of applications in a densely distributed manner. Such deployment makes WSNs one of the …
Residual energy-based adaptive data collection approach for periodic sensor networks
Due to its potential applications and the density of the deployed sensors, distributed wireless
sensor networks are one of the highly anticipated key contributors of the big data in the …
sensor networks are one of the highly anticipated key contributors of the big data in the …
A multivariate-time-series-prediction-based adaptive data transmission period control algorithm for IoT networks
In order to reduce unnecessary data transmissions from Internet of Things (IoT) sensors, this
article proposes a multivariate-time-series-prediction-based adaptive data transmission …
article proposes a multivariate-time-series-prediction-based adaptive data transmission …
A distance-based data aggregation technique for periodic sensor networks
Monitoring phenomena and environments is an emergent and required field in our today
systems and applications. Hence, wireless sensor networks (WSNs) have attracted …
systems and applications. Hence, wireless sensor networks (WSNs) have attracted …
Integrated divide and conquer with enhanced k-means technique for energy-saving data aggregation in wireless sensor networks
In the Internet of Things (IoTs) future, the Wireless Sensor Networks (WSNs) represent one
of the big data contributors due to the wide range of real-life applications that use this type of …
of the big data contributors due to the wide range of real-life applications that use this type of …
Two level data aggregation protocol for prolonging lifetime of periodic sensor networks
One big contributor in the future of the Internet of Things is the Periodic Sensor Networks
(PSNs) because it has been used by many applications in real life. The main challenge in …
(PSNs) because it has been used by many applications in real life. The main challenge in …
Distributed data aggregation based modified k-means technique for energy conservation in periodic wireless sensor networks
One of the big data provider in the future of the Internet of Things (IoT) is the Periodic
Wireless Sensor Networks (PWSNs) because of the widespread use of this type of networks …
Wireless Sensor Networks (PWSNs) because of the widespread use of this type of networks …