Stars
Exercise and Extra Exercises codes for UW CSE333 System Programming.
CSE 333: Systems Programming (taught by Hal Perkins)
Connected Target Coverage in Wireless Sensor Networks Using Self-adaptive Differential Evolution
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
This code optimizes the location of WSN nodes after a coverage hole is generated due to depleted battery-free-thesis.com
Unofficial mirror of https://svn.cryptool.org/CrypTool2/trunk/ (username - anonymous no password)
Breaking 6 round DES using chosen plaintext attack
Git repository for the paper Differential Cryptanalysis of Round-Reduced Sparx-64/128
based on Differential Cryptanalysis of the Full 16-round DES(Eli Biham / Adi Shamir), all comments and report are written in Korean.
This repository contains the code for the second homework of the Autonomous Networking course at the University of La Sapienza, Rome.
Mesh Wireless Standard IEEE 802.11s model for NS-3 including novel routing metrics described in the ELSEVIER Internet of Things journal article "Customized novel routing metrics for wireless mesh-b…
NS3-3.27 implementation code for the proposal of the paper entitled "Adaptive Hello Interval in FANET Routing Protocols for Green UAVs"
Simulator for Course of Autonomous Networking a.a. 20-21
QMR implementation using DroNet
This is the source code of the paper titled "QMR: Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks".
ADIAN - A Distributed Intelligent Ad-hoc Network - A new routing protocol for mobile ad-hoc networks. (Repository contains the implementation of ADIAN in NS2 [Network Simulator] ).
Routing in an Ad-hoc network is a challenging task because source and destination nodes are mobile and thus routing decisions are to be changed dynamically when link failure or packet delay is enco…
Implementations of ad hoc network routing protocols.
MATLAB codes for the paper "3D Two-Hop Cellular Networks with Wireless Backhauled UAVs: Modeling and Fundamentals".
MATLAB codes for the paper "Fundamentals of 3D Two-Hop Cellular Networks Analysis with Wireless Backhauled UAVs".
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
FANET optimization to provide network services to remote areas