Random Way Point modibility model: use files in Random_Waypoint. Entry point: test_Execute.m For more information: http://www.mathworks.com/matlabcentral/fileexchange/30939-random-waypoint-mobility-model --> ./mobility_track_input/vs_node_50_7_24.mat

1 次查看（过去 30 天）

elvin eziama 2017-3-15

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/329898-random-way-point-modibility-model-use-files-in-random_waypoint-entry-point-test_execute-m-for-mor

评论： Walter Roberson 2017-3-15

Random Way Point modibility model: use files in Random_Waypoint. Entry point: test_Execute.m
For more information: http://www.mathworks.com/matlabcentral/fileexchange/30939-random-waypoint-mobility-model
--> ./mobility_track_input/vs_node_50_7_24.mat
Use 'genMobileData.m' for other input generation and data pre-processing:
* process the 1-hop neighbors -> encMat_50_7_24.mat
* number of service requests in queue 
* number of concurrent requests 
* cost/reward
--> 20000 results will be generated and stored in allData60_20000.mat
* malicious nodes -> malNode1.mat
* distributing data to each nodes
--> accHist_50_7_24.mat
Use 'preprocess_accHist.m' for preprocessing data based on recommendation attacks
--> aggrHist_mal***_50_7_24.mat
Use 'genServiceHistory.m'
* binary service satisfaction
--> 'servBin_50_7_24.mat'
* similarity for nodes (used for Adaptive trust) 
--> sim_adaptive.mat
NOTE: you should manually input your \beta_j @gt_weight
For Beta Reputation:
Binary observations are accumulated by 'preprocess_accHist.m'
--> numInd_mal***_50_7_24.mat