A prototypic implementation of EVA as part of my Master's Thesis.

Please find the publication here: EVA: Fair and Auditable Electric Vehicle Charging Service using Blockchain

To build and run the prototype, you need Node.js, Matlab (with Optimization Toolbox) and an Infura API Key (https://infura.io)

• Put your Infura API Key at <infura_api_key_here> in smart_contracts/truffle.js

• cd into smart_contracts directory

• npm install

• truffle compile

• truffle migrate --reset --network ropsten

• Note the address where truffle deployed the contract and the ABI (in smart_contracts/build/contracts/Aggregator.json) for later

• Start Matlab
• Add MatlabWebSocket to Java Classpath
  • Execute command edit(fullfile(prefdir,'javaclasspath.txt'))
  • Add a new line with the path to evadmm/matlab/matlabwebsocket/matlab-websocket-1.4.jar
  • Save and restart Matlab
• In Matlab, add the evadmm/matlab folder including all subfolders to the current Matlab path
• Run StartEvAdmmServer.m

• Put your Infura API Key at <infura_api_key_here> in evadmm/evadmm_ethereum_bridge.js
• Update the variables aggregatorContractABI and aggregatorContract in evadmm/evadmm_ethereum_bridge.js according to the results from compilation & deployment
• cd into evadmm directory
• npm install
• node evadmm_schedule.js

• Update the variables aggregatorContractABI and aggregatorContract in frontend/index.js according to the results from compilation & deployment

• cd into frontend directory

• npm install http-server

• http-server

• You can access the DApp using any DApp browser (e.g. MetaMask) on http://localhost:8080 now

• Alternative: Deploy files on any webserver

• Put your Infura API Key at <infura_api_key_here> in evaluation/wallets.js
• Modify evaluation/wallets.js with test wallet mnemonics to your liking
• Open a Node.js console, import the wallets.js module and fund your test wallets using the fundWallets function

• Create a file experiment.<experiment_name>.js in evaluation`
• Import the simulation module and override the runExperiment function with your designed experiment
• For examples, take a look at evaluation/experiment.eva_luation.js

• cd into evaluation
• npm install
• node experiment.<experiment_name>.js -s <Number of Simulations -r <Number of Rounds per Simulation
• The results will be collected in experiment.<experiment_name>.<timestamp>.csv