Energy-efficient resource allocation strategy in massive IoT for industrial 6G applications
The birth of beyond 5G (B5G) and emerge of 6G have made personal and industrial
operations more reliable, efficient, and profitable, accelerating the development of the next …
operations more reliable, efficient, and profitable, accelerating the development of the next …
Dynamic clustering method based on power demand and information volume for intelligent and green IoT
Abstract The Internet of Things (IoT) is an integrated part of the future network which requires
comprehensive awareness, reliable delivery and intelligent processing. Therefore, it faces …
comprehensive awareness, reliable delivery and intelligent processing. Therefore, it faces …
A neural-network-based optimal resource allocation method for secure IIoT network
Data security and resource allocation are two important terms associated with the Internet of
Things (IoT). This recent technical evolution has made its mark in industrial applications …
Things (IoT). This recent technical evolution has made its mark in industrial applications …
Potential game theoretic learning for the minimal weighted vertex cover in distributed networking systems
Toward the minimal weighted vertex cover (MWVC) in agent-based networking systems, this
paper recasts it as a potential game and proposes a distributed learning algorithm based on …
paper recasts it as a potential game and proposes a distributed learning algorithm based on …
Energy-efficient dynamic clustering for IoT applications: A neural network approach
The Internet of Things (IoT) realizes the interconnection of different paradigms in information
technologies along with their connectivity. With its evolution, the cost and energy efficiency …
technologies along with their connectivity. With its evolution, the cost and energy efficiency …
Differentially private maximum consensus: Design, analysis and impossibility result
In network systems, calculating maximum element plays a fundamental role for distributed
data analysis. Maximum consensus algorithm can accomplish the calculation in a fully …
data analysis. Maximum consensus algorithm can accomplish the calculation in a fully …
On-demand efficient clustering for next generation IoT applications: A hybrid NN approach
A Mukherjee, DK Jain, L Yang - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
The internet-of-things (IoT) extends the traditional Internet and realizes the interconnection
of all things in a smart way. With the rapid development of 5G and beyond communication …
of all things in a smart way. With the rapid development of 5G and beyond communication …
Representation learning and nature encoded fusion for heterogeneous sensor networks
L Wang, Q Liang - IEEE Access, 2019 - ieeexplore.ieee.org
Target detection based on heterogeneous sensor networks is considered in this paper.
Fusion problem is investigated to fully take advantage of the information of multi-modal data …
Fusion problem is investigated to fully take advantage of the information of multi-modal data …
A reputation-based contract for repeated crowdsensing with costly verification
DG Dobakhshari, P Naghizadeh… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
A system operator asks a group of sensors toexert costly effort to collect accurate
measurements of a value of interest over time. At each time, each sensor is asked to report …
measurements of a value of interest over time. At each time, each sensor is asked to report …
Distributed Estimation in Large Scale Wireless Sensor Networks via a Two Step Group-based Approach
We consider the problem of collaborative distributed estimation in a large scale sensor
network with statistically dependent sensor observations. In collaborative setup, the aim is to …
network with statistically dependent sensor observations. In collaborative setup, the aim is to …