creator Kim, Heekyung advisor Choi, Ken The Autonomous Drone can be economically one of the effective and efficient tools for disaster management. In this research, for disaster relief operations, Autonomous Drone Architecture with wireless network provides disaster assistance by tracking a survivor and getting important information from multiple sensors on it. [1] ADWN architecture consist of two different platforms, Raspberry pi and Arduino, to separate their roles of the process, which are like collecting the sensor data and sending control signal from Raspberry Pi to Arduino. Once gathering data from sensors and transmitting it to Raspberry Pi, it can analysis by applying signal processing formula in real-time. [2] In this case, Raspberry Pi can multitask process and use various language libraries such as OpenCV, Python, and others. Also, Raspberry Pi can add lots of sensors, a camera, and other kinds of boards. Using these features, transmitted data can be processed in real-time and be sending to Arduino to control with reduced error. These strength of ADWN architecture provides scalability and high availability to control drone as a disaster assistance. Submitted by Erma Thomas (thomase@iit.edu) on 2016-04-04T18:01:26Z No. of bitstreams: 1 etdadmin_upload_398231.zip: 2204422 bytes, checksum: 0bd13ecb268ee75a97615a582e01dadf (MD5) Made available in DSpace on 2016-04-04T18:01:27Z (GMT). No. of bitstreams: 1 etdadmin_upload_398231.zip: 2204422 bytes, checksum: 0bd13ecb268ee75a97615a582e01dadf (MD5) Previous issue date: 2015-12 M.S. in Electrical Engineering, December 2015 2015 2015-12 http://hdl.handle.net/10560/3796 en Architecture Autonomous Drone Mobile Rescue Signal Processing Wireless Network Thesis born digital application/pdf In Copyright http://rightsstatements.org/page/InC/1.0/ Restricted Access ECE / Electrical and Computer Engineering Illinois Institute of Technology Affiliated department