Collective Behavior of an Anisotropic Swarm Model Based on Unbounded Repulsion in Social Potential Fields

2006 ◽  
pp. 164-173 ◽  
Author(s):  
Liang Chen ◽  
Li Xu
Keyword(s):  
Collective Behavior ◽  
Potential Fields ◽  
Model Based ◽  
Social Potential

scholarly journals A Social Potential Fields Approach for Self-Deployment and Self-Healing in Hierarchical Mobile Wireless Sensor Networks

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 120 ◽  
Author(s):  
Eva González-Parada ◽  
Jose Cano-García ◽  
Francisco Aguilera ◽  
Francisco Sandoval ◽  
Cristina Urdiales
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Potential Fields ◽  
Self Healing ◽  
Mobile Wireless ◽  
Mobile Wireless Sensor Networks ◽  
Social Potential ◽  
Mobile Wireless Sensor

Robust Swarm Model Based on Mutual Anticipation

2012 ◽  
Vol 3 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Yukio-Pegio Gunji ◽  
Hisashi Murakami ◽  
Takayuki Niizato ◽  
Yuta Nishiyama ◽  
Takenori Tomaru ◽  
...  
Keyword(s):  
Fixed Point ◽  
Fixed Points ◽  
Equivalence Relation ◽  
Algebraic Structure ◽  
Collective Behavior ◽  
Mobile Network ◽  
Model Based ◽  
Novel Model

The authors propose a novel model for a swarm in which inherent noise positively contribute to generate a swarm. In the authors’ model diverse behaviors of individuals are mutually anticipated to give rise to robust collective behavior. Because a swarm is generated due to inherent perturbation, a swarm can be maintained even under highly perturbed conditions. Thus, the model reveals robust rather than stable collective behavior. The authors elaborate behavior of the model with respect to density and polarization. The authors show that mutual anticipation structure can be expressed as a fixed point with respect to a particular operation derived by equivalence relation, a collection of the fixed points can form a particular algebraic structure, called a lattice, and a swarm as a mobile network can be characterized by the structure of a lattice.

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