Krypto

Abstract

Natural disasters affect thousands of people every year. In a large disaster area, search and rescue operations can face great difficulties to locate victims. In this paper, we propose a system, called Krypto, with UAV to assist search and recue operations. By flying over disaster area and detecting wireless signals from any cellular phones, Krypto is able to locate possible victims. In addition, this work addresses the challenges of maximizing the searching area and minimizing the location errors with different searching paths. We have analyzed different searching paths in terms of coverage, location errors, average speed, average searching time, and power consumption. Our experiments presented the design considerations and the performance comparisons of different searching paths for finding victim in a large disaster area. Categories and Subject DescriptorsC.3 [Special-Purpose and Application-Based Systems]: System supports search and rescue operations in large disaster area.

Communication Convergence for Improvement of the Unmanned Aerial Search and Rescue Missions

“…Several authors mentioned the use of Wi-Fi technology to locate Wi-Fi-enabled devices as a method for finding stranded individuals [9][10][11]. Some authors focused on the fact that a targeted device (a device of interest) regularly sends pings when searching for access points and wanted to exploit this technological fact to locate such a device (e.g., passive method).…”

“…This approach works well for the micro-location of the target device but reduces the flight time of the UAVs and their overall coverage of the search area. In research [9], an innovative approach to search pattern and localization was presented by the authors. Emphasis was also placed on the technology used to build the communications system, as well as additional considerations for performance versus power requirements and area coverage using commercially available drones and devices.…”