Challenges in design of OS for sensor networks

1. Presented by
D.S.MYDHEESWARAN
N.SIVA
N.NITHYA
OPERATING SYSTEMS FOR
SENSOR NETWORKS

2. Challenges in design of OS for
sensor networks
Resource Constraints
Fault Tolerance
Energy Efficiency
Communication Challenges
Real-Time Constraints
Localization and Time
Synchronization
Heterogeneity
Programming Abstractions

3. Operating systems design
issues
 Process management and scheduling
 Code upgrade and reprogramming
 Memory management
 Application program interface (API)
 Kernel model

4. Different platforms available for
sensor networks
 TelosB
 Raspberry Pi
 MicaZ
 ESP8266/ESP32
 Arduino
 Particle

5. Three categories of sensor node
hardware
 Sensor node hardware can be grouped
into three categories, each with different
trade-offs in design choices.
 Augmented General-Purpose Computers
 Dedicated Embedded Sensor Nodes
 System-on-Chip (SoC) Nodes

6. Features of Node-Level Software
Platforms
 Operating System Abstraction
 Sensor Interface
 Energy Management
 Data Management
 Communication Stacks
 Network Management
 Task Scheduling

7. Two node-level simulators
 TOSSIM: TOSSIM (TinyOS
Simulator) is a discrete event
simulator specifically designed for
TinyOS-based wireless sensor
networks.
 COOJA: COOJA is a simulator
specifically designed for the Contiki
operating system.

8. Berkeley motes
 Berkeley Motes, also known as
MICA motes. These motes are
small, low-cost devices equipped
with sensors, a microcontroller, and
a radio transceiver, allowing them to
sense, process, and communicate
environmental data wirelessly.

9. Goals of MagnetOS
 To adapt to the underlying resource and
its changes in a stable manner
 To be efficient with respect to energy
conservation
 To provide general abstraction for the
applications
 To be scalable for large networks.