Attributes | Description |
Type | New |
Industry Sector | IoT |
Business driver | There is currently no global specification for broad IoT interoperability, independent of the physical radio. Moving the buffer to the Edge will allow stable QoS under any condition. DQ is a universal lower MAC, therefore synchronous and asynchronous can share the channel |
, hence a seamless migration path. | |
Business use cases | 1. Automotive 2. Industrial IoT 3. Smart City |
Business Cost - Initial Build Cost Target Objective | There is no additional cost for utilizing a Distributed Queue (DQ) collision detection scheme, as it is a direct replacement or swap with Aloha-based technologies, requiring no change at OSI layers 2.5 or above. Experimental Zigbee and LoRa base stations with RasPi and a radio hat have been achieved for $85. |
Business Cost – Target Operational Objective | The target operational objective is to achieve >95% throughput at all times, or Near-Perfect packet efficiency. |
Security need | Security is a function of packet efficiency. |
Regulations | N/A |
Other restrictions | N/A |
Additional details | N/A |
Case Attributes | Description |
Type | New |
Blueprint Family - Proposed Name | Buffer at the Edge |
Use Case | IoT |
Blueprint proposed Name | Buffer at the Edge Blueprint Family: Swapping out Aloha-based MACs |
Initial POD Cost (capex) | N/A |
Scale & Type | Theoretcally infinite |
Applications | Massive IoT with stable QoS |
Power Restrictions | N/A |
Infrastructure orchestration | Host: •Any network hardware |
SDN | N/A |
Workload Type | N/A |
Additional Details | N/A |
Committer | Committer Company | Committer Contact Info | Committer Bio | Committer Picture | Self Nominate for PTL (Y/N) |
Jonathan Gael | M2M Bell | Gael looks forward to contributing the fully drawn specification for any engineer to build an interoperable DQ system. | N | ||