Blockchain-empowered security and energy efficiency of drone swarm consensus for environment exploration

SH Alsamhi, AV Shvetsov, SV Shvetsova… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The Internet of Drones (IoD) allows drones to collaborate safely while operating in a
restricted airspace for numerous applications in Industry 4.0 world. Energy efficiency and …

Linear quadratic optimal consensus of discrete-time multi-agent systems with optimal steady state: A distributed model predictive control approach

Q Wang, Z Duan, Y Lv, Q Wang, G Chen - Automatica, 2021 - Elsevier
This paper develops a distributed model predictive control algorithm for linear quadratic
optimal consensus of discrete-time multi-agent systems. The consensus state and control …

A taxonomy of energy optimization techniques for smart cities: Architecture and future directions

S Tanwar, A Popat, P Bhattacharya, R Gupta… - Expert …, 2022 - Wiley Online Library
There is a drastic increase in urbanization over the past few years, which requires energy‐
efficient and optimized solutions for transportation, governance, quality of life in a smart city …

Distributed detection and estimation in wireless sensor networks

S Barbarossa, S Sardellitti, P Di Lorenzo - Academic Press Library in Signal …, 2014 - Elsevier
Wireless sensor networks (WSNs) are becoming more and more a pervasive tool to monitor
a wide range of physical phenomena. The opportunities arising from the many potential …

[图书][B] Smart grid using big data analytics: a random matrix theory approach

RC Qiu, P Antonik - 2017 - books.google.com
This book is aimed at students in communications and signal processing who want to extend
their skills in the energy area. It describes power systems and why these backgrounds are …

Seeing the bigger picture: How nodes can learn their place within a complex ad hoc network topology

A Bertrand, M Moonen - IEEE Signal Processing Magazine, 2013 - ieeexplore.ieee.org
This article explained how nodes in a network graph can infer information about the network
topology or its topology related properties, based on in-network distributed learning, ie …

Distributed two-step quantized fusion rules via consensus algorithm for distributed detection in wireless sensor networks

E Nurellari, D McLernon… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
We consider the problem of distributed soft decision fusion in a bandwidth-constrained
spatially uncorrelated wireless sensor network (WSN). The WSN is tasked with the detection …

Laplacian eigenvalue allocation through asymmetric weights in acyclic leader-follower networks

G Parlangeli - IEEE Access, 2023 - ieeexplore.ieee.org
This paper tackles the eigenvalue allocation problem through an appropriate choice of the
edge weights for the class of combinatorially-symmetric Laplacian matrices of acyclic …

Convergence analysis for regular wireless consensus networks

S Dhuli, K Gaurav, YN Singh - IEEE Sensors Journal, 2015 - ieeexplore.ieee.org
Average consensus algorithms can be implemented over wireless sensor networks (WSN),
where global statistics can be computed using the communications among sensor nodes …

Distributed topology manipulation to control epidemic spreading over networks

D Xue, S Hirche - IEEE Transactions on Signal Processing, 2018 - ieeexplore.ieee.org
This paper considers the problem of network structure manipulation in the absence of a
central coordinator that collects network information and makes decisions. The primary focus …