DirMantle Protocol Edge IoT Context Propagation
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Solution Overview
Problem
Current IoT protocols are inefficient in enabling edge-side dynamic responses for high-performance and low-latency events, as they rely on centralized Super Agents or IoT servers, failing to leverage the capabilities of local, heterogeneous IoT devices effectively.
Innovation Solution
The DirMantle protocol optimizes edge-side dynamic responses by implementing a distributed database (hlekkr) that uses blockchains to store actions and data, allowing for context-aware processing and communication between edge IoT networks, with a secure key (lase) and duty cycles to manage resources efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If centralized Super Agents or IoT servers are used to orchestrate and manage dynamic responses, then system management is simplified, but response latency increases and performance decreases
Solution Approach 1:
The patent segments the centralized orchestration function into distributed edge agents deployed on local IoT networks. Each edge agent autonomously handles dynamic responses within its local context, eliminating the need for all events to be relayed to centralized servers. This segmentation resolves the contradiction by distributing management responsibilities (improving response time) while maintaining coordinated control through the dirMantle protocol (preserving system manageability).
Solution Approach 2:
The patent introduces a new architectural dimension by deploying edge agents across multiple distributed locations rather than relying solely on centralized cloud servers. This dimensional shift from single-point centralized control to multi-point distributed control enables local real-time responses while maintaining overall system coordination through the protocol layer, thus resolving the latency-management contradiction.
2Productivity
If edge devices are empowered to provide dynamic responses locally, then response performance improves, but device complexity and resource constraints are exacerbated
Solution Approach 1:
The patent applies local quality by enabling only the necessary edge computing capabilities at the edge devices required for dynamic responses, rather than requiring all edge devices to have full processing power. The dirMantle protocol orchestrates which devices perform which functions based on local context and device capabilities, thus improving response performance while avoiding unnecessary complexity on constrained devices.
Solution Approach 2:
The patent creates a universal edge agent framework that can operate across heterogeneous IoT devices with varying capabilities. The dirMantle protocol provides a common interface and orchestration layer that enables different types of devices (sensors, actuators, gateways) to all participate in dynamic responses according to their capabilities, thus improving overall system productivity without requiring each individual device to be complex.
3Adaptability or versatility
If conventional IoT protocols are used, then compatibility with existing systems is maintained, but efficiency in edge-side dynamic responses is insufficient
Solution Approach 1:
The patent introduces the dirMantle protocol as an intermediary layer between existing IoT devices/protocols and the edge dynamic response system. This intermediary protocol translates and orchestrates communications efficiently for edge scenarios while maintaining compatibility with conventional IoT protocols underneath, thus resolving the contradiction between compatibility and efficiency by operating at the protocol layer without requiring changes to existing devices.
Data Source
AI summary
The present invention is a method and framework for protocol to optimize edge side dynamic response system with context propagation for IoT. The protocol is a composition of a set of predefined routines, called ‘parlance’, that control the lifecycle of the meshed devices. The master has characteristics to store database as block chains, encryption using hash function, run defined duty cycles. The edge devices have characteristics to receive parlance, execute parlance, provide data to mantles.