November 7, 2009, Saturday, 310

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Downloads (Course Materials)


1. Lecture Notes and Tutorials from EE 652 Wireless Sensor Networks class offered in Fall 2007 at USC by Prof. Bhaskar Krishnamachari.

[Lecture Notes and Tutorials]

Contributors: Bhaskar Krishnamachari, Amitabha Ghosh, Avinash Sridharan, and Kiran Yedavalli.


Downloads (code and information useful to the wireless embedded/sensor networks community)


1. D-MAC Protocol for Adaptive Energy-Efficient and Low-Latency Data Gathering in Wireless Sensor Networks.

[NS-2 code]

[important README file]

[IEEE WMAN '04 Paper]

Contributors: Gang Lu, Bhaskar Krishnamachari



2. Evaluation of IEEE 802.15.4 MAC Protocol for Low Rate Low Power Wireless Personal Area Networks.

[NS-2 code]

[important README file]

[IEEE EWCN'04 Paper]

[PowerPoint Slides]

Contributors: Gang Lu, Bhaskar Krishnamachari



3. Realistic Wireless Link Quality Model and Generator.

(to generate realistic static wireless ad-hoc/sensor network scenarios as graphs with links labeled with packet reception rates) [Version 1.1, Updated on December 2005]

[Tutorial]

[JAVA code]

[MATLAB code]

Contributors: Marco Zuniga, Bhaskar Krishnamachari, Rahul Urgaonkar



4. Experimental Data on Concurrent Packet Transmissions in Low Power Wireless Networks.

(Data may be used freely, with a suitable acknowledgement.)

[Zipped Excel Files with Readme.txt]

[Corresponding Technical Report]

Contributors: Dongjin Son, Bhaskar Krishnamachari, John Heidemann



5. Integrating a Structural Simulator with TOSSIM (TinyOS simulator)

[Tutorial Website with Code]

Contributors: Avinash Sridharan, Bhaskar Krishnamachari



6. Measurement of pairwise PRR values from two real 100-node rectangular grid deployments at an indoor basketball court at USC consisting of 59 Moteiv Tmote Sky nodes interspersed with 41 Crossbow MicaZ nodes.

The data are formatted as Matlab .mat files. (Data may be used freely, with a suitable acknowledgement: "This data was obtained from experiments conducted by the University of Southern California's Autonomous Networks Research Group, http://anrg.usc.edu ") [April 2006]

[Deployment 1 Data]

[Deployment 2 Data]

Contributors: Marco Zuniga, Avinash Sridharan, Shyam Kapadia, Sundeep Pattem, Bhaskar Krishnamachari



7. Raw experimental data giving measurements of link quality (radio signal strength and LQI) over a long period of time from two deployments of MicaZ motes in dynamic settings (20 node deployment in USC RTH Lab and 15 node deployment in Cafe).

Readme files giving further details regarding content and format are included in the zipped files. (Data may be used freely, with a suitable acknowledgement: "This data was obtained from experiments conducted by the University of Southern California's Autonomous Networks Research Group, http://anrg.usc.edu"). [April 2006]

[2.1 MB Zipped file: RTH_Lab_Experiment]

[1.6MB Zipped file: RTH_Cafe_Experiment]

[PPT File with Photos of RTH Cafe Deployment Node Locations]

Contributors: Marco Zuniga, Dongjin Son, Kiran Yedavalli, Bhaskar Krishnamachari



8. Mica 2 RSS Localization Data from 11 nodes in a parking lot. Used in Ecolocation. Data collected in 2004.

(Data may be used freely with acknowledgement.)

[Text file with Raw Data and Explanations]

[IPSN 2005 Ecolocation Paper]

Contributors: Kiran Yedavalli, Bhaskar Krishnamachari



9. Time stamped packet exchange data with CC2420-equipped motes.

Useful for evaluating time synchronization techniques. Collected by (Data may be used freely, with a suitable acknowledgement: "This data was obtained from experiments conducted by the University of Southern California's Autonomous Networks Research Group, http://ceng.usc.edu/~anrg".) [August 2006]

[Data in Excel Format]

[Matlab Code to Retrieve Data]

[Readme]

Contributors: Maulik Desai, Xiaofan Qiu, Bhaskar Krishnamachari



10. Sequence-Based Localization in Wireless Sensor Networks.

(Data may be used freely, with a suitable acknowledgement: "This data was obtained from experiments conducted by the University of Southern California's Autonomous Networks Research Group, http://anrg.usc.edu".) [November 2005]

[C++ code]

Contributors: Kiran Yedavalli, Bhaskar Krishnamachari



11. Data from human contact trace collection experiment

(Data may be used freely, with a suitable acknowledgement: "This data was obtained from experiments conducted by the University of Southern California's Autonomous Networks Research Group, http://anrg.usc.edu".) [November 2008]

[Data]

Contributors: Yi Wang, Bhaskar Krishnamachari



12. Packet Broadcast Test Application under TinyOS 2.x (beta2)

The source code of packet broadcast system. The code was used to evaluate how the packet broadcast performs; which node gets the packets when and on which route. The code contains among several other useful modules a module for the flood mechanism, which supports

  • Best-effort flooding
  • Delayed flooding
  • multiple floods at the same time
  • command which will be executed in each relevant node upon the first reception of the particular flood
  • adjustable transmitting power for each flood.

(Data may be used freely, with a suitable acknowledgement: "This data was obtained from experiments conducted by the University of Southern California's Autonomous Networks Research Group, http://anrg.usc.edu".) [November 2008]

[Code]

Contributors: Joon Ahn, Bhaskar Krishnamachari



13. TDMA Scheduling for Aggregated Convergecast

The source code contains a TDMA scheduling algorithm using multiple frequency channels for aggregated convergecast on three different routing tree topologies. Among other things, it contains the code to generate connected graphs and routing trees. It outputs the average schedule length of the algorithm, and average maximum degree and average radius of the trees.

(Code may be used freely, with a suitable acknowledgement: "This code was obtained from simulations conducted by the University of Southern California's Autonomous Networks Research Group, http://anrg.usc.edu".) [January 2009]

[Code]

Contributors: Amitabha Ghosh, Bhaskar Krishnamachari



University of Southern California - Viterbi School of Engineering - Electrical Engineering Department - Computer Science Department