Abstract:
This paper presents a bio-inspired, distributed control algorithm called TENTACLES for a group of radio robots to move, self-configure and maintain communication between ...Show MoreMetadata
Abstract:
This paper presents a bio-inspired, distributed control algorithm called TENTACLES for a group of radio robots to move, self-configure and maintain communication between some critical entities (such as humans, command centers, or other systems) in an unknown environment. The basic idea is to direct robots' explorative movements to grow ¿tentacles¿ from entities and establish links when tentacles meet. This approach can self-heal failures of robots and improve communication coverage and quality over time. Experiments in simulations and real robots have shown positive results.
Date of Conference: 10-15 October 2009
Date Added to IEEE Xplore: 15 December 2009
ISBN Information:
ISSN Information:
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- IEEE Keywords
- Index Terms
- Wireless Networks ,
- Unknown Environment ,
- Robotic Network ,
- Simulation Experiments ,
- Real Robot ,
- Robotic Group ,
- Signal Strength ,
- Network Performance ,
- Local Optimum ,
- Line-of-sight ,
- Root Node ,
- Indoor Environments ,
- Traffic Flow ,
- Exploratory Behavior ,
- Neighboring Nodes ,
- Communication Protocol ,
- Radio Waves ,
- Leaf Node ,
- Noisy Signal ,
- Distance Vector ,
- Static Nodes ,
- Hop Count ,
- Relay Nodes ,
- Node Information ,
- Good Signal
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Wireless Networks ,
- Unknown Environment ,
- Robotic Network ,
- Simulation Experiments ,
- Real Robot ,
- Robotic Group ,
- Signal Strength ,
- Network Performance ,
- Local Optimum ,
- Line-of-sight ,
- Root Node ,
- Indoor Environments ,
- Traffic Flow ,
- Exploratory Behavior ,
- Neighboring Nodes ,
- Communication Protocol ,
- Radio Waves ,
- Leaf Node ,
- Noisy Signal ,
- Distance Vector ,
- Static Nodes ,
- Hop Count ,
- Relay Nodes ,
- Node Information ,
- Good Signal