Titlebook: Advanced Network Technologies and Intelligent Computing; Third International Anshul Verma,Pradeepika Verma,Isaac Woungang Conference proce

Defense

K-Means Clustering Based VM Placement Using MAD and IQR essential for processor speed, particularly for Internet of Things (IoT) activities. Despite the existence of a significant amount of research in the green allocation of resource methodologies, it has been carried out to minimize the usage of the CDCs. Traditional systems mainly seek to minimize th

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GULP

使绝缘

PATHY

Tree Topologies and Node Covers for Efficient Communication in Wireless Sensor Networkssition of placement of sensor nodes so that the entire communication area is covered is called the sensor deployment problem. This problem is equivalently the classical NP-complete optimization graph problem called the node cover. The node cover problem finds application across a range of WSN scenar

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Binary Computation Offloading in Edge Computing Using Deep Reinforcement Learningmputing solves these issues by using nearby servers for real-time processing. However, determining the optimal offloading strategy remains complex. This paper investigates a Deep Reinforcement Learning (DRL)-based binary offloading strategy for edge computing in mobile environments. DRL combines rei

Intractable

Data Agent-Based Volumetric Progress Monitoring over Mobile Ad-Hoc Network in Disaster Managemention among various machineries. This work proposes an autonomous data agent-based automation of post disaster progress monitoring of volumetric activities over Mobile Ad-hoc NETwork (MANET) by leveraging WiFi Direct communication functionalities. This approach enables efficient and reliable communica

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认为

Data Agent-Based Volumetric Progress Monitoring over Mobile Ad-Hoc Network in Disaster Managementtion among rescue teams, facilitating coordination and information exchange in challenging post disaster scenarios. The proposed work enables a Light Detection and Ranging (LIDAR)-based volumetric analysis with minimal computing overhead. A mobile application for Android 11 demonstrated the practical applicability of the proposed system.