Energy-efficient resource allocation strategy in massive IoT for industrial 6G applications

A Mukherjee, P Goswami, MA Khan… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
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 …

Dynamic clustering method based on power demand and information volume for intelligent and green IoT

A Mukherjee, P Goswami, L Yang, Z Yan… - Computer …, 2020 - Elsevier
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 …

A neural-network-based optimal resource allocation method for secure IIoT network

P Goswami, A Mukherjee, M Maiti… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
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 …

Potential game theoretic learning for the minimal weighted vertex cover in distributed networking systems

C Sun, W Sun, X Wang, Q Zhou - IEEE transactions on …, 2018 - ieeexplore.ieee.org
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 …

Energy-efficient dynamic clustering for IoT applications: A neural network approach

L Manman, Q Xin, P Goswami… - 2020 IEEE Eighth …, 2020 - ieeexplore.ieee.org
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 …

Differentially private maximum consensus: Design, analysis and impossibility result

X Wang, J He, P Cheng, J Chen - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In network systems, calculating maximum element plays a fundamental role for distributed
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 …

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 …

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 …

Distributed Estimation in Large Scale Wireless Sensor Networks via a Two Step Group-based Approach

S Zhang, P Sharma, B Geng, PK Varshney - arXiv preprint arXiv …, 2022 - arxiv.org
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 …