Paper Info
Title
A Self-Adaptive Network For Multi-Robot Warehouse Communication
Abstract
With the growing popularity of e-commerce, warehouse communication needs to operate in a dynamic environment with multiple robots in the system. Such multi-robot systems have many practical issues in reality. Among the major issues, end-to-end reliable communication is seen to take up prominence in literature. The current work introduces a novel self-adaptive network structure with two of its essential sub-blocks namely 'Prioritization' and 'Optimal Path Selection' as part of communication protocol for effective and reliable communication. For the first sub-block, we propose transmission deadline and information content based priority model which significantly improves critical packet transmission success rate and for the second sub-block, an optimal path selection method is proposed as a new path planning method which is capable of reducing the outage probability of the failed transmission. A typical configuration of warehouse has been simulated in Network Simulator-3 (NS-3) and real warehouse data has been used in analyzing the proposed functional blocks. A closed-form expression of outage probability is also analytically derived. Results are promising to apply them for dynamic multi-robot systems in general, and specifically for warehouse applications.
Year
DOI
Venue
2021
10.1007/s00607-020-00852-3
COMPUTING
Keywords
DocType
Volume
Self-adaptive network, Multi-robot system, Communication protocol, Prioritization, Optimal path selection, Outage probability
Journal
103
Issue
ISSN
Citations 
2
0010-485X
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Ashwini Kumar Varma100.34
Jyotirmoy Karjee2265.25
Debjani Mitra321.71
Hemant Kumar Rath45315.24
Arpan Pal519551.41