Name
Title | ||
|---|---|---|
True Coalition Formation of Bio-inspired Mobile Sensors or Robots on Intrusion Detection - Part 1: Theoretical Modeling. |
Abstract | ||
|---|---|---|
Inspired by the society of animals, this paper studies collaborative robots via mathematical modeling using a case study of the coalition formation of robots in order to detect and capture intrusions in a curved loop. Individuals seek alliances when they believe that their detection regions are too short to capture an intrusion. A coalition benefits its members by increasing detection and capturing strength, but it has to trade-off by paying an investment cost for each individual. Outcomes are determined by coalition formation. Our theoretical studies show the formation of a true coalition (2 robots vs. 1 robot) and derive that a true coalition only arises when an interior evolutionarily stable strategy exists. We also identify the conditions under which an interior evolutionarily stable strategy exists. |
Year | Venue | Keywords |
|---|---|---|
2019 | AD HOC & SENSOR WIRELESS NETWORKS | Coalition formation,bio-inspired,mobile sensors,intrusion detection,game theory |
Field | DocType | Volume |
Computer science,Robot,Intrusion detection system,Distributed computing | Journal | 44 |
Issue | ISSN | Citations |
3-4 | 1551-9899 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Xiao | 1 | 6317 | 456.36 |
| Xiannuan Liang | 2 | 90 | 7.37 |
| Bo Fu | 3 | 364 | 39.23 |
| Tieshan Li | 4 | 1723 | 81.13 |