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Optimizing Resource Management With Edge and Network Processing for Disaster Response Using Insect Robot Swarms
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Author(s): U. Vignesh (Vellore Institute of Technology, Chennai, India), K. Gokul Ram (Vellore Institute of Technology, Chennai, India)and Abdulkareem Sh. Mahdi Al-Obaidi (Taylor's University, Malaysia)
Copyright: 2025
Pages: 22
Source title:
Exploring the Micro World of Robotics Through Insect Robots
Source Author(s)/Editor(s): U. Vignesh (Vellore Institute of Technology, Chennai, India), Annavarapu Chandra Sekhara Rao (Indian Institute of Technology (ISM), Dhanbad, India), Saleem Raja (University of Technology and Applied Sciences, Shinas, Oman)and P. Chitra (GITAM University, Bangalore, India)
DOI: 10.4018/979-8-3693-6150-4.ch003
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Abstract
The potential of emerging technology to transform disaster response is examined in this review study. We investigate how, by overcoming the constraints of conventional cloud-based processing in disaster areas, edge computing enables insect robots for real-time data gathering and analysis at the network edge. We examine studies on KubeEdge for reliable network deployment using insect robots and Social Sensing-based Edge Computing (SSEC) for processing social media data. We explore network processing methods that leverage Mobile Cloud Computing (MCC) and show how they overcome issues such as bandwidth limitations and low battery life. This study examines how developments in edge computing, network processing, resource management, and multi-robot systems might benefit disaster response by highlighting the potential of insect robots as indispensable instruments that will ultimately result in quicker and more efficient reaction times.
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