Mobile Device Vector List Advertising for Self-Organized Social Networks
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Solution Overview
Problem
Conventional mobile communication technologies limit social behavior by optimizing user experiences from a single device perspective, lacking predictability and cooperation between user devices and network functionalities, restricting group decision methods and information sharing in mobile networks.
Innovation Solution
Implementing cloud-based distributed and fractal decision-making protocols that enable emergent user behaviors by advertising vector lists containing device and user-specific information to determine network connections, using a cloud-based data processing environment to facilitate self-organized mobile device networks and spontaneous social group formation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud-based distributed decision-making protocols are implemented to enable emergent user behaviors and self-organized networks, then adaptability and social behavior capabilities are improved, but device complexity and network infrastructure requirements increase
Solution Approach 1:
The patent introduces a cloud-based data processing environment as an intermediary that hosts vector lists and connection preference algorithms. Mobile devices advertise their vector lists to the cloud, which then facilitates connection decisions without requiring complex peer-to-peer negotiation protocols between devices. This mediator approach enables emergent social behavior while offloading computational complexity to the cloud infrastructure.
Solution Approach 2:
The system implements feedback mechanisms where mobile devices continuously advertise their vector lists (containing user preferences, device characteristics, and social attributes) to the cloud-based environment. The cloud processes these advertisements and provides feedback through connection preference algorithms that determine optimal network connections. This feedback loop enables adaptive social behavior emergence without requiring devices to independently calculate complex connection strategies.
2Measurement precision
If vector lists with device and user-specific information are advertised to determine network connections, then connection precision and user experience are improved, but information processing requirements and network bandwidth consumption increase
Solution Approach 1:
The patent extracts the computationally intensive vector list processing and connection decision-making functions from individual mobile devices and relocates them to a cloud-based data processing environment. Mobile devices simply advertise their vector lists to the cloud, which then performs the detailed analysis and connection determination. This extraction reduces the data processing burden on devices and optimizes network bandwidth usage by centralizing complex information processing.
Solution Approach 2:
The system transitions connection decision-making from a device-to-device horizontal interaction model to a device-to-cloud-vertical interaction model. By moving the processing dimension to the cloud infrastructure, the system can handle complex vector list comparisons and connection preferences without proportionally increasing network bandwidth requirements between mobile devices. The cloud dimension provides scalable processing capacity.
Data Source
AI summary
Disclosed is a method, system and computer programs to provide emergent behavior in a network of connected mobile user devices. The method includes advertising with a mobile wireless communication device to other mobile wireless communication devices a vector list that includes at least mobile wireless communication device specific vectors and mobile wireless communication device user specific vectors. The method further includes determining, in cooperation with a cloud-based data processing environment, whether to connect to a network of other mobile wireless communication devices based at least on at least one element that comprises part of vector lists associated with the other mobile wireless communication devices, the vector lists being stored at the cloud-based data processing environment.