Efficient algorithms for distributed virtual force-based self-spreading of robotic sensor/actuator networks

Node deployment is a key issue in building sensor/actuator networks. To improve coverage and reduce costs, the use of autonomous mobile robotic nodes is an attractive option. This paper presents two new virtual force-based (VFB) distributed self-deployment algorithms for robotic networks. Their performance is compared with the baseline behaviors of five existing cutting-edge VFB methods. This analysis is conducted using a whole lot of standard criteria: elapsed time, coverage percentage, energy consumption, mean distance, and distance uniformity. Also, we propose and use a new criterion that assesses the balance of network’s resources allocated to serve various equally valid subareas. Monte-Carlo computer experiments show that the proposed algorithms demonstrate the best performance regarding the coverage uniformity and percentage.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/rcae62637.2024.10834243
Citations
2
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient algorithms for distributed virtual force-based self-spreading of robotic sensor/actuator networks

P.A. Konovalov, Alexey S. Matveev
2 citations
Modular Robots and Swarm Intelligence
0.43
article

Efficient algorithms for distributed virtual force-based self-spreading of robotic sensor/actuator networks

P.A. Konovalov, Alexey S. Matveev
article en
2 citations

Abstract

Node deployment is a key issue in building sensor/actuator networks. To improve coverage and reduce costs, the use of autonomous mobile robotic nodes is an attractive option. This paper presents two new virtual force-based (VFB) distributed self-deployment algorithms for robotic networks. Their performance is compared with the baseline behaviors of five existing cutting-edge VFB methods. This analysis is conducted using a whole lot of standard criteria: elapsed time, coverage percentage, energy consumption, mean distance, and distance uniformity. Also, we propose and use a new criterion that assesses the balance of network’s resources allocated to serve various equally valid subareas. Monte-Carlo computer experiments show that the proposed algorithms demonstrate the best performance regarding the coverage uniformity and percentage.

Sirius University of Science and Technology (RU)
Affordable and clean energy
Openalex Percentile: Top 40%
Modular Robots and Swarm Intelligence
0.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Efficient algorithms for distributed virtual force-based self-spreading of robotic sensor/actuator networks — P.A. Konovalov, Alexey S. Matveev · (2024) | TGRS Research Map | TGRS