WARNING: This implementation of SenseCode is a prototype and therefore may contain serious bugs.
This is an implementation of the protocol describe in the paper:
Abstract:
Designing a communication protocol for sensor networks often involves obtaining the "right" trade-off between energy efficiency and end-to-end packet error rate. In this paper, we show that network coding provides a means to elegantly balance these two goals. We present the design and implementation of SenseCode, a collection protocol for sensor networks and - , to the best of our knowledge, the first such implemented protocol to employ network coding. SenseCode provides a way to gracefully introduce a configurable amount of redundant information in the network, thereby increasing end-to-end packet error rate in the face of packet loss. We compare SenseCode to the best (to our knowledge) existing alternative and show that it reduces end-to-end packet error rate in highly dynamic environments, while consuming a comparable amount of network resources. We have implemented SenseCode as a TinyOS module and evaluate it through extensive TOSSIM simulations.
Description of the contents:
The implementation of SenseCode is included in the sensecode directory.
The directory demo contains a demo application that uses SenseCode.
The demo application consists of a sink node that every 60 seconds broadcasts a request to all nodes in the network. All the other nodes answer the request by sending a packet with SenseCode.
The demo application is setup to send data with a rate 0.5 systematic code and support
up to 32 active nodes. It is possible to change these parameters in the file DemoApp.h.
Included in the demo directory there is also a python script to run a TOSSIM simulation with 32 nodes.
To run the demo application with TOSSIM:
- Run
make micaz simin thedemodirectory - Run
python runner.pyin thedemodirectory