Related Experiment Video
Updated: Feb 25, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
In-Network Computation of the Optimal Weighting Matrix for Distributed Consensus on Wireless Sensor Networks
Xabier Insausti1, Jesús Gutiérrez-Gutiérrez2, Marta Zárraga-Rodríguez3
1Department of Biomedical Engineering and Sciences, Tecnun, University of Navarra, Manuel Lardizábal 13, 20018 San Sebastián, Spain. xinsausti@tecnun.es.
Abstract:
In a network, a distributed consensus algorithm is fully characterized by its weighting matrix. Although there exist numerical methods for obtaining the optimal weighting matrix, we have not found an in-network implementation of any of these methods that works for all network topologies. In this paper, we propose an in-network algorithm for finding such an optimal weighting matrix.
Related Concept Videos
Distributed Loads: Problem Solving
Weighted Mean
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
Distributed Loads
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
Relation Between the Distributed Load and Shear
Centroid of a Body: Problem Solving
The x-coordinates and y-coordinates of each element's...
The Maximum Power Transfer Theorem
The load connected draws the current, and the circuit delivers the power to the load. The alternating current flowing through the load is determined using the rectangular form of voltages, currents, network impedance, and load impedance. The average power delivered to the load is obtained from the product of the square of current and load resistance.
