Abstract: Technology has changed medical procedures and drug management for patient-centric care. Smart healthcare systems can best use blockchain, IoT, and cognitive computing. Due to the diverse tasks involved, a design approach with a broader…
Abstract: Perfect forward secrecy, cross-verification, and robust mutual authentication secure communication over unsafe channels. Wildlife monitoring, sidewalk inspection, infrastructure inspection, and smart city surveillance are affected by the rapid development of wireless communication and drone-assisted…
Abstract: Turbidity, suspended particles, small bubbles, and turbulence make underwater communication difficult for mobile nodes. Absorption and scattering corrupt optical signals. Error-correcting codes reduce channel errors by correcting corrupted bits. This project proposes a Bose-Chaudhuri-Hocquenghem…
Abstract: The rapid development and deployment of Cellular V2X (C-V2X) require a highly reliable support system for many vehicular key applications. The hidden terminal problem and half-duplex issue make the standard sensing-based semi-persistent scheduling (SB-SPS)…
Abstract: Software-defined networking centralizes forwarding device management. Centralization lets network administrators program devices cheaply. Network administrators try to switch to SDN-compatible switches. SDN and legacy switching functions can work well together in network architecture. In…
Abstract: To avoid connection failure, vehicular ad hoc networks need reliable clustering. A stable cluster head (CH) eliminates packet delay (PD) and maintains network throughput. This article introduces a two-step stable CH selection scheme. In…
Abstract: Energy minimization is crucial to wireless sensor network design, and multi-hop transmission complicates it. Selecting a multi-hop packet transmission route is also tedious. This paper proposes a multihop wireless sensor network (WSN) intra-cluster and…
Abstract: In wireless communications, VANETs are popular. Intelligent sensors in VANETs collect real-time data from inside and surrounding vehicles. Real-time data need powerful computation, processing, and storage. VANETs cannot manage real-time data due to OBU…
Abstract: Daily interactions and networks require network security. As attackers develop new attacks and networks grow, intrusion detection systems are essential. Deep learning algorithms and artificial neural networks that can generate features automatically without human…
Abstract: This paper compares conventional and deep machine learning in self-organizing network anomaly detection. Deep learning has gained popularity, especially in applications where large amounts of data can be collected and processed, but conventional methods…
Abstract: Underground mining uses WSNs. They monitor complex mine environments using sensors to avoid risks and manage operations. WSNs are important, but energy consumption and sensor node battery replacement are issues. DEECP reduces WSN power…
Abstract: Technology has revolutionized sensing technology, with wireless sensor networks (WSNs) being a major research area. WSN has battery-powered sensor nodes with limited energy, so researchers design an energy-efficient routing protocol to extend network lifetime….
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