Wireless Communications and Mobile Computing · 2023 · 85 citations · 14 references
EngineeringSmart Wireless NetworkGlobal Network AdministrationSystems EngineeringNetwork ManagementInternet Of ThingsSmart NetworkNetwork FlowsComputer EngineeringNetworked Computer SystemsWireless NetworkingNetwork Management TasksCommunication NetworksReliable 5GIntelligent NetworkFault ManagementSmart GridNetwork ConfigurationWireless Network ManagementNetwork Management Architecture
Smart network management automation (SNMA) is a technology that enables the automation of network management tasks. It provides a platform for automating network management, allowing administrators to manage their networks more reliably and efficiently. It provides the tools to monitor and manage network performance, identify and troubleshoot problems, and automate the deployment of new services and applications. SNMA also allows for scalability to meet the needs of any organization, regardless of size or complexity. With SNMA, network administrators can quickly and accurately identify problems, increase network uptime, and reduce time spent on manual tasks. The SNMA provides the ability to adjust configurations quickly and respond to changes in the network environment. It can help reduce costs and improve the efficiency of network operations. This paper proposed an intelligent network management automation algorithm for network administration and management in 5G communication networks. The proposed algorithm achieved 91.82% of remote network administration, 95.25% of global network administration, 96.59% of urban network administration, and 95.07% of local network administration. It creates a single submission to the network to make configuration changes, register network resources, manage users’ IP addresses, and filter packets to ensure information security and other tasks.
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A Wireless Sensor Network Deployment for Rural and Forest Fire Detection and Verification
Jaime Lloret, Miguel García, Diana Bri et al. · Sensors · 2009 · 313 citations · Full text
S. Raja, J. Logeshwaran, S. Venkatasubramanian et al. · Scientific Programming · 2022 · 198 citations · Full text