The document discusses the design and challenges of operating systems for sensor networks, including resource constraints, fault tolerance, and energy efficiency. It categorizes sensor node hardware, outlines node-level software platform features, and introduces simulators like Tossim and Cooja. Additionally, it highlights the goals of magnetos in adapting to resource changes, conserving energy, and ensuring scalability.

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.