Multiobjective optimization based sensor selection for TDOA tracking in wireless sensor network

Z Li, Y Zhao, N Cheng, B Hao, J Shi… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
This paper investigates the sensor selection problem in time difference of arrival (TDOA)
tracking scenario to find the optimal sensor activation strategy for the upcoming time step …

[HTML][HTML] Scalable privacy-preserving big data aggregation mechanism

D Wu, B Yang, R Wang - Digital Communications and Networks, 2016 - Elsevier
As the massive sensor data generated by large-scale Wireless Sensor Networks (WSNs)
recently become an indispensable part of 'Big Data', the collection, storage, transmission …

A novel approach of hierarchical compressive sensing in wireless sensor network using block tri-diagonal matrix clustering

M Prabha, SS Darly, BJ Rabi - Computer Communications, 2021 - Elsevier
Abstract Wireless Sensor Network (WSN) delivers an important contribution in evolving
fields for example ubiquitous computing and ambient intelligence. Monitoring environment is …

State estimation oriented wireless transmission for ubiquitous monitoring in industrial cyber-physical systems

L Lyu, C Chen, J Yan, F Lin, C Hua… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
State estimation over wireless sensor networks (WSNs) plays an important role for the
ubiquitous monitoring in industrial cyber-physical systems (ICPSs). However, the unreliable …

[HTML][HTML] Gathering Big Data in Wireless Sensor Networks by Drone

JCV Rezende, RI Silva, MJF Souza - Sensors, 2020 - mdpi.com
The benefits of using mobile sinks or data mules for data collection in Wireless Sensor
Network (WSN) have been studied in several works. However, most of them consider only …

Open data-set of seven Canadian cities

H Dong, G Singh, A Attri, A El Saddik - IEEE Access, 2016 - ieeexplore.ieee.org
Open data has attracted huge attention for the construction of smart city in terms of delivering
useful city information to citizens and interacting with citizens from the city council …

SAE network: A deep learning method for traffic flow prediction

Y Jin, W Xu, P Wang, J Yan - 2018 5th International …, 2018 - ieeexplore.ieee.org
Traffic flow forecasting is one of the most important work of the intelligent transport system
(ITS). It has extensive and promising applications to improve the traffic conditions. However …

Identification of optimal location points for efficient data gathering in IoT environment

T Wala, N Chand, AK Sharma - International Journal of …, 2021 - Wiley Online Library
Recent development in sensor technologies encourages the adoption of mobile data
collectors (MDCs), that is, vehicles or robots, to collect data in the Internet of Things (IoT) …

[HTML][HTML] Predictive trajectory-based mobile data gathering scheme for wireless sensor networks

F Chao, Z He, R Feng, X Wang, X Chen, C Li, Y Yang - Complexity, 2021 - hindawi.com
Tradition wireless sensor networks (WSNs) transmit data by single or multiple hops.
However, some sensor nodes (SNs) close to a static base station forward data more …

Compression-based block truncation coding technique to enhance the lifetime of the underwater wireless sensor networks

GAM Jawad, AKM Al-Qurabat… - IOP Conference Series …, 2020 - iopscience.iop.org
Minimizing the number of transmitted/received data represents a big challenge in
Underwater Wireless Sensor Networks (UWSNs). Since the data sending/receiving …