Rendezvous Point Consolidates Sensor Data in LLN
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Solution Overview
Problem
In wireless deterministic networks, the lack of efficient data consolidation mechanisms leads to increased communication overhead due to the need for multiple independent paths for sensor data reporting, which is bandwidth-constrained and inefficient without a centralized consolidation point.
Innovation Solution
A rendezvous point (RP) is introduced within the network to consolidate data from multiple originating nodes, using a path computation engine to determine paths and time slots for data communication, and program the RP to process and consolidate data into a single result, reducing communication overhead and optimizing data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple independent paths are used for sensor data reporting, then data transmission reliability is improved, but communication overhead increases
Solution Approach 1:
The patent merges multiple independent data paths into a single consolidated path by introducing a rendezvous point that aggregates sensor data from multiple originating nodes. This consolidation reduces the quantity of communication overhead while maintaining data transmission reliability through the unified path management at the rendezvous point.
Solution Approach 2:
The rendezvous point acts as an intermediary between multiple originating sensor nodes and the destination. It receives data from multiple sources, consolidates it, and forwards it through a single path, thereby reducing communication overhead while ensuring reliable transmission through centralized path management.
2Quantity of substance
If a centralized rendezvous point is introduced, then communication overhead is reduced, but device complexity increases
Solution Approach 1:
The rendezvous point is designed with multi-functionality, serving as a data consolidation point, path computation engine, and forwarding node simultaneously. This universal design reduces the need for separate specialized components, thereby reducing overall network structure complexity while achieving communication overhead reduction.
Solution Approach 2:
The path computation engine performs preliminary path determination and configuration before data transmission begins. By pre-computing and pre-configuring the optimal path through the rendezvous point, the system reduces runtime complexity and simplifies the operational structure of the network.
3Quantity of substance
If data consolidation is performed at a rendezvous point, then bandwidth utilization is improved, but processing time increases
Solution Approach 1:
The system implements periodic data collection and consolidation at the rendezvous point, where data from multiple sensors is aggregated at regular intervals. This periodic batching approach improves bandwidth utilization by consolidating transmissions while minimizing processing time through efficient batch handling rather than continuous individual processing.
Solution Approach 2:
The path computation engine performs partial path optimization by focusing computation on the critical consolidation path through the rendezvous point rather than optimizing all possible paths. This selective approach achieves sufficient bandwidth utilization improvement while avoiding excessive processing time that would result from comprehensive path optimization.
Data Source
AI summary
In one embodiment, sensor data is transported in a network to a rendezvous point network node, which consolidates the information into a consolidated result which is communicated to the destination. Such consolidation by a network node reduces the number of paths required in the network between the sensors and the destination. One embodiment includes acquiring, by each of a plurality of originating nodes in a wireless deterministic network, external data related to a same physical event; communicating through the network said external data from each of the plurality of originating nodes to a rendezvous point network node (RP) within the network; processing, by the RP, said external data from each of the plurality of originating nodes to produce a consolidated result; and communicating the consolidated result to a destination node of the network. In one embodiment, the network is a low power lossy network (LLN).