Decentralized UAV Coalition Formation for Scalable Task Execution
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Solution Overview
Problem
Existing coalition formation techniques for task allocation in multi-agent systems, such as UAV networks, assume full trust among agents and rely on centralized base stations, which are not scalable and efficient in dynamic environments with unpredictable task appearances and resource constraints.
Innovation Solution
A decentralized system where UAVs autonomously identify and combine resources to execute missions by comparing necessary resources with available resources, forming coalitions based on efficiency, trust, and past performance, without relying on a centralized base station.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized base station is used for task allocation, then task coordination and reliable communications are improved, but system scalability and efficiency deteriorate in dynamic environments
Solution Approach 1:
The patent segments the centralized task allocation function into distributed coalition formation capabilities across multiple UAVs. Each UAV independently forms coalitions with others based on local resource assessments and task requirements, eliminating the single point of control while maintaining coordinated task execution through decentralized decision-making
Solution Approach 2:
The patent implements dynamic coalition formation where UAVs can join or leave coalitions based on changing environmental conditions, resource availability, and task requirements. This dynamic reconfiguration allows the system to adapt to unpredictable task appearances and resource constraints without relying on static centralized allocation
2Loss of information
If centralized task allocation is used, then complete knowledge about tasks and agents' capabilities is available, but computational complexity and communication overhead increase
Solution Approach 1:
The patent extracts the complex computational task allocation problem from the centralized base station and distributes it to individual UAVs. Each UAV performs local resource assessment and coalition formation decisions based on simplified information exchange with neighboring UAVs, reducing the computational burden on any single entity while maintaining task allocation effectiveness
Solution Approach 2:
UAVs autonomously assess their own resource capabilities and make independent decisions about joining coalitions to execute tasks. This self-service approach eliminates the need for centralized computation by enabling each agent to independently determine its optimal role in task execution based on local information and predefined criteria
3Device complexity
If full trust among agents is assumed, then coalition formation is simplified, but reliability deteriorates when selfish behavior occurs
Solution Approach 1:
The patent implements feedback mechanisms where UAVs monitor the resource contribution and task performance of coalition members. This feedback enables UAVs to identify and exclude selfish agents from future coalitions, maintaining reliable cooperation without requiring complex trust management infrastructure by using simple performance-based exclusion criteria
Data Source
AI summary
An integrated decision making and communication system includes a memory to store a list of resources necessary to execute a mission; a transceiver to send and receive data between communicatively linked devices; and a processor to identify a set of available resources capable of executing the mission based on the data received from the devices; compare the list of resources necessary to execute the mission from the memory with the set of available resources; and identify a combination of the devices to execute the mission based on the comparison of the list of resources necessary to execute the mission and the set of available resources.