Resilient IoT Network Paths via Activated Core Covalences
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Solution Overview
Problem
In IoT networks, existing technologies face challenges in maintaining communication resilience due to the unreliable nature of non-obligatory nodes, which can lead to disruptions when connections are lost, affecting the overall network's utility and efficiency.
Innovation Solution
The method involves defining a micro-operative for an IoT network with non-obligatory nodes, assigning rankings, establishing activated core covalences (ACCs) that determine the impact of neighboring node disconnections, and aggregating these to create an aggregated activated core covalence (A-ACC) to assess the resilience of communication paths and decide on optimal communication operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If communication paths use non-obligatory nodes in IoT networks, then network flexibility and routing options increase, but communication reliability deteriorates due to node disconnections
Solution Approach 1:
The patent pre-calculates and stores alternative communication paths before disconnections occur. The system maintains a set of pre-defined alternative paths that can be quickly activated when node disconnections are detected, eliminating the need for reactive path finding and ensuring continuous communication with minimal latency.
Solution Approach 2:
The patent introduces intermediary nodes that serve as reliable connection points between non-obligatory nodes. These intermediary nodes maintain stable connections and act as mediators to route communications around disconnected nodes, preserving communication reliability while still utilizing flexible non-obligatory nodes in the network.
2Reliability
If alternative communication paths are maintained in the network, then communication resilience improves, but network complexity increases
Solution Approach 1:
The patent segments the network into modular path units, where each alternative path is defined as a discrete, manageable segment. This segmentation allows the system to maintain multiple paths without overwhelming complexity, as each path can be independently managed, monitored, and activated based on specific disconnection scenarios.
Solution Approach 2:
The patent uses parameter-based path selection, where paths are defined by specific parameters such as node identifiers, hop counts, and priority levels. By changing these parameters dynamically based on network conditions, the system can switch between paths without reconfiguring the entire network structure, thus maintaining resilience while controlling complexity.
3Productivity
If path selection decisions are made dynamically based on node connectivity, then communication efficiency improves, but decision-making time increases
Solution Approach 1:
The patent pre-evaluates and ranks alternative paths based on expected efficiency metrics before disconnections occur. When a disconnection is detected, the system simply activates the pre-identified optimal path rather than performing real-time evaluation, thus maintaining high communication efficiency while minimizing decision-making time to near-zero.
Solution Approach 2:
The patent implements a feedback mechanism that continuously monitors node connectivity and path performance. This feedback is used to update path rankings and selections in real-time, allowing the system to adapt to changing network conditions while maintaining efficient communication through data-driven path choices.
Data Source
AI summary
A computer-implemented method according to one embodiment includes defining a micro-operative of a first network. The first network has non-obligatory nodes, and the micro-operative includes rankings assigned to each of the nodes of the first network. Activated core covalences (ACCs) are established for the nodes. Each ACC defines a minimum number of neighboring nodes of the node associated with the ACC that, upon the minimum number of neighboring nodes being disconnected from the first network, cause the ranking of the associated node to decrease. An aggregated activated core covalence (A-ACC) is established, and the A-ACC corresponds to a sum of at least some of the ACCs of the nodes. The method further includes determining, based on the A-ACC, whether to perform a communication operation using a path that includes the nodes in the first network.