Abstract:
Search and rescue operations in emergency response to natural or human disasters must act quickly and accurately to find and rescue victims. The rescue team can use a Wireless Sensor Network despite communications issues.
This network allows data acquisition near events and persistence over time, among other benefits. However, adaptation to this scenario needs improvement.
This work presents two Hybrid Wireless Sensor Networks, based on ZigBee and LoRa, developed to address some of the challenges Search and Rescue operations pose to Wireless Sensor Networks and tested in realistic scenarios with first responders.
Several network-performance-boosting software developments are also described. Finally, a lot of data from realistic exercises with civilian and military first responders supports the conclusions and lessons learned.
Keywords: Wireless Sensor Networks, Robot Sensing Systems, Zigbee, Dogs, Robot Kinematics, Topology, Task Analysis, Data Acquisition, Emergency Management, Emergency Services, Wireless Sensor Networks, Zigbee
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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