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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 DQ is a universal lower MAC, therefore synchronous and asynchronous can share the channel, hence a seamless migration path to near-perfect packet efficiency. Moving the buffer to the Edge will allow stable QoS under any condition. | ||
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 in a star network. Some efficiency will be lost in the hybrid DQ model to afford a commercial migration path for legacy devices which have no knowledge of the novel MAC but this will still shatter the Aloha-based 50% maximum. | ||
Security need | Security is a function of packet efficiency and needs a broadcast architecture for ensemble computing to open the IoT metaverse. DQ also allows us to encrypt the whole packet at the MAC/Data Link layer including the packet header. | ||
Regulations | N/A | ||
. See security discussion in the attached SAE Journal article. | |||
Regulations | CPNI is a better part of the Telecommunications Act of '96 which can now be upheld in shared-packet networks along with other privacy laws started at the US Postal Service before converting into telecom privacy law. | ||
Other restrictions | Licensed RF is restricted. WiFi, and other unlicensed RF for the IoT including long range TVWS airwaves are not. | Other restrictions | N/A |
Additional details | The hexadecimal address list from the DQWA Appendix can be made available. It was only left out to make the document more manageable. |
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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 Theoretically infinite |
Applications | Massive IoT with stable QoS |
Power RestrictionsN/A | Reduced by half bit for bit since payload data never suffers collisions |
Infrastructure orchestration | Host: •Any network hardware |
SDN | N/A |
Workload Type | N/A |
Additional Details | N/A |
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Committer | Committer Company | Committer Contact Info | Committer Bio | Committer Picture | Self Nominate for PTL (Y/N) |
Jonathan Gael | M2M Bell | jonathan@m2mbell.com | Gael looks forward to contributing the fully drawn specification for any engineer to build an interoperable DQ system. | N | |
| Houda Chihi | Tunisie Telecom | houda.chihi@supcom.tn | Y | ||
Attributes | Description | |
Type | New | |
Industry SectorIoT | ||
Business driverThere 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 ObjectiveThere 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 in a star network. Some efficiency will be lost in the hybrid DQ model to afford a commercial migration path for legacy devices which have no knowledge of the novel MAC but this will still shatter the Aloha-based 50% maximum. | |
Security need | Security is a function of packet efficiency. DQ allows to encrypt the whole packet at the MAC/Data Link layer including the packet header. | |
Regulations | N/A | |
Other restrictionsN/A | ||
Additional details The hexadecimal address list from the DQWA Appendix can be made available. It was only left out to make the document more manageable. |
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 | Theoretically 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 |
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