Mesh Network Node Linking for Lifeblog Event Search
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Solution Overview
Problem
Current search mechanisms for data related to events lack interoperability, complexity handling, and adaptability, especially when multiple users record the same event, leading to difficulties in linking and searching multimedia content and environmental data effectively.
Innovation Solution
A method and apparatus that create nodes associated with events, store metadata, link local and remote nodes, send metadata for searching, and provide information based on search results across devices, utilizing a tree structure and IPv6 addresses for interconnectivity and semantic relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current search mechanisms are used for event data, then simple searches can be performed, but interoperability and adaptability are lacking when multiple users record the same event
Solution Approach 1:
The system segments event data into discrete nodes representing individual events, with each node containing metadata and links to related nodes. This segmentation allows the system to handle complex multi-user event data by breaking it into manageable, interconnected units that can be searched and adapted independently.
Solution Approach 2:
The patent implements a universal node structure that can represent different types of events and data formats from multiple users through a common metadata schema. This multi-functional node design enables the system to handle diverse event data (audio, video, photos, environmental data) from different users using the same framework, achieving versatility without proportionally increasing complexity.
2Reliability
If multiple devices record the same event, then more comprehensive data is captured, but linking and searching across devices becomes difficult
Solution Approach 1:
The patent merges data from multiple devices by creating a unified mesh network of nodes where each device's event data becomes a node linked through shared metadata. Related nodes from different devices are connected through semantic relationships and common event identifiers, allowing comprehensive data aggregation while maintaining searchability through the unified structure.
Solution Approach 2:
The system introduces metadata as an intermediary layer between raw event data from multiple devices and the search function. This metadata layer contains standardized event descriptors, timestamps, and relationship information that enables efficient searching and linking across devices without requiring direct processing of the underlying diverse data formats.
3Productivity
If a mesh network structure is implemented to link nodes across devices, then search capability is improved, but system complexity increases
Solution Approach 1:
The mesh network structure is implemented dynamically, where nodes and links are created on-demand as events occur and devices connect, rather than pre-configuring a complete network structure. This dynamic approach allows the system to adapt the network complexity to actual usage patterns, improving search efficiency for active events while avoiding unnecessary complexity for inactive or isolated events.
Data Source
AI summary
A method including creating a node that is associated with an event recorded by a user, storing metadata associated with the node and linking the node with other nodes that are associated with the event, wherein the other nodes comprise at least one of local nodes and remote nodes. The method also includes sending metadata for the node to a corresponding remote node, searching at least one local device or remote device for nodes related to the event by using the metadata of nodes associated with the event and providing information to the user based on results obtained from searching of metadata associated with the local and remote nodes related to the event.