Residential College | false |
Status | 已發表Published |
Bio-inspired group modeling and analysis for intruder detection in mobile sensor/robotic networks | |
Fu B.1; Xiao Y.1; Liang X.1; Philip Chen C.L.2 | |
2015 | |
Source Publication | IEEE Transactions on Cybernetics |
ABS Journal Level | 3 |
ISSN | 21682267 |
Volume | 45Issue:1Pages:103-115 |
Abstract | Although previous bio-inspired models have concentrated on invertebrates (such as ants), mammals such as primates with higher cognitive function are valuable for modeling the increasingly complex problems in engineering. Understanding primates' social and communication systems, and applying what is learned from them to engineering domains is likely to inspire solutions to a number of problems. This paper presents a novel bio-inspired approach to determine group size by researching and simulating primate society. Group size does matter for both primate society and digital entities. It is difficult to determine how to group mobile sensors/robots that patrol in a large area when many factors are considered such as patrol efficiency, wireless interference, coverage, inter/intragroup communications, etc. This paper presents a simulation-based theoretical study on patrolling strategies for robot groups with the comparison of large and small groups through simulations and theoretical results. |
Keyword | Bio-inspired Communication Robot Grouping Wireless Networks |
DOI | 10.1109/TCYB.2014.2320717 |
URL | View the original |
Language | 英語English |
WOS ID | WOS:000346734300009 |
Scopus ID | 2-s2.0-84919705793 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | University of Macau |
Affiliation | 1.University of Alabama 2.Universidade de Macau |
Recommended Citation GB/T 7714 | Fu B.,Xiao Y.,Liang X.,et al. Bio-inspired group modeling and analysis for intruder detection in mobile sensor/robotic networks[J]. IEEE Transactions on Cybernetics, 2015, 45(1), 103-115. |
APA | Fu B.., Xiao Y.., Liang X.., & Philip Chen C.L. (2015). Bio-inspired group modeling and analysis for intruder detection in mobile sensor/robotic networks. IEEE Transactions on Cybernetics, 45(1), 103-115. |
MLA | Fu B.,et al."Bio-inspired group modeling and analysis for intruder detection in mobile sensor/robotic networks".IEEE Transactions on Cybernetics 45.1(2015):103-115. |
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