Heterogeneous mesh-networking implementation features in Russian new real-time operating system MACS, Alexey Spirkov, AstroSoft, CEE-SECR 2017

We will tell about development and implementation of self-organizing networks algorithms in real-time operating system MACS. Our solution was developed for chip Milandr 1968ВН034 with PLC and RF channels as the main features providing heterogeneity.

In recent time mesh-networking is used fast growing number applications providing decentralized, adoptive and reconfigurable topology architecture with nodes being untied from any main node and each node providing transmitter and gateway functionality. Mesh networks deployment results in improving system robustness, scalability, radio environment obstacles avoidance and antijamming features.
The report targets experienced developers and architects of network software.

Listeners will get to learn about the specifics of implementing the G.9903 and 802.15.4 standards on microcontrollers running under the real-time operating system MACS.

Transcript

1. Software Engineering Conference Russia 2017 October, 20 – 21 | St. Petersburg Development Features of Heterogeneous Mesh Network in MACS RTOS Alexey Spirkov
2. IoT without MESH? Possible, but not effective.
3. IoT – Infrastructure Field devices Broker Big data User interface
4. Goal Communication layer of smart-building devices Metering devices MILANDR produced energy, water and gas metering devices Dual channel heterogeneous communication RF and PLC channels Energy efficiently Field devices should works years on batteries
5. Operating system for embedded multiagent systems, IT hardware and IoT Unique collaboration possibilities Russian hardware producers support Usual RTOS functionality Realtime Operating System
6. Heterogeneous Mesh Network Architecture
7. Arbitration:  Packet DCF  Packet TDMA  Specialized methods Routing:  Hybrid  LOADng (routing on demand) Path request Generated path Target node Source Mesh Algorithms
8. Special devices (12 pts.):  Microcontroller: ARM Cortex-M4 (STM32F429)  Radio: 2.4GHz (nRF24L01+)  Battery power + + Mesh Development  Remote programming via Wi-Fi (optional)  Sensor display for user interface
9. Configuration: Debugging and testing  Central management  Scripting for automation  Gathering of network characteristics Wi-Fi hotspot Server Mesh Development
10. Software:  Visualization  Management  Statistics  Automation Mesh Development
11. Universal modem  Generic transceiver interface  Guaranteed operation execution Virtual transceiver  Timing characteristics  Specific functions and properties Imitation Model: Network Channels Unification
12. Structure of imitation model:  Virtual transceiver  Physical model  Network configuration  Node software  Experiment manager  Management interface Main idea:  Software identical up to peripheral drivers Imitation Model: Architecture
13.  Nodes: 2  Speed of node: 2 Мбит/с  Sending: continuous  Packet size: 32 bytes  Size of data: 1 000 000 bytes Model Device Received, [bytes] 938 704 936 896 Service, [bytes] 156 111 Time, [с] 13,513 12,207 Packet lost , [%] 6,13 6,31 Speed, [bit/s] 1 147 935 1 269 512 Imitation Model: Validation
14.  Parallel independent channels  Hardware retranslation between channels  Cognitive functions – adaptation to environment (modulation/speed etc.)  Hardware encryption  High speed  Flexible architecture  Realization of time critical Mesh functions SDR Modem
15.  Milandr 1968ВН034 DSP processor  Standards:  IEEE 802.15.4 for RF  ITU-T G.9903 (based on IEEE 802.15.4) for PLC  Data security:  LBP (LowPAN Bootstrapping Protocol)  EAP (Extensible Authentication Protocol) protocol Target Solution
16.  500 – 5000 stations simultaneously  End-point devices simulation  Impulse counter  Electricity meter  Data gathering point Simulation
17.  Nodes  in total - 231  ~40000 (for one data gathering point)  Nominal speed:  PLC – 48 Kbit/sec  RF – 1,2 Kbit/sec  Half-duplex  Average speed in network: 10 Kbit/sec for 14 hops network (limited by low energy field devices)  Average packet lost: 3% Result Characteristics
18. astrosoft.ru (812) 494 9090