UAV Networks Surveillance Implementing an Effective Load-Aware Multipath Routing Protocol (ELAMRP)
In this work uses innovative multi-channel load-sensing techniques to deploy unmanned aerial vehicles (UAVs) for surveillance. The research aims to improve the quality of data transmission methods and improve the efficiency and reliability of surveillance systems by exploiting the mobility and adaptability of UAVs does the proposed protocol intelligently distribute network traffic across multiple channels, considering the load of each channel, While addressing challenges such as load balancing, this study investigates the effectiveness of the protocol by simulations or practical tests on The expected results have improved UAV-based surveillance systems, more flexible and efficient networks for applications such as security, emergency response and the environment alignment of monitoring -Offering infrastructures, which contribute to efficient and reliable monitoring solutions.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Multipath Computation Offloading for Mobile Augmented Reality
Mobile Augmented Reality (MAR) applications employ computationally demanding vision algorithms on resourcelimited devices. In parallel, communication networks are becoming more ubiquitous. Offloading to distant servers c…
Edge-computingSchedulingAttention-Based Fusion of IQ and FFT Spectrograms with AoA Features for GNSS Jammer Localization
Jamming devices disrupt signals from the global navigation satellite system (GNSS) and pose a significant threat by compromising the reliability of accurate positioning. Consequently, the detection and localization of th…
Secret Key Generation Rates for Line of Sight Multipath Channels in the Presence of Eavesdroppers
In this paper, the feasibility of implementing a lightweight key distribution scheme using physical layer security for secret key generation (SKG) is explored. Specifically, we focus on examining SKG with the received si…
Source Localization of an Unknown Transmission in Dense Multipath Environments
Accurately estimating the position of a wireless emitter in a multipath environment based on samples received at various base stations (in known locations) has been extensively explored in the literature. Existing approa…
PositionWeakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network
The widespread implementation of urban surveillance systems has necessitated more sophisticated techniques for anomaly detection to ensure enhanced public safety. This paper presents a significant advancement in the fiel…
Anomaly DetectionAnomaly Detection In Surveillance VideosMultiple Instance LearningSupervised Anomaly Detection+2