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Frameworks for Wireless Network
(Buzura, 2022) To comprehend software-defined wireless networks, this study provides routing behavior models. SDN ideas improve wireless network management. Their simulation tool enables researchers test new SDN-based wireless network routing ideas.
Researchers and network operators use the platform to mimic routing. This allows routing system performance, efficiency, and scalability comparisons. Software-defined wireless networks increase routing and performance.
(Khan, 2013) Wireless sensor networks link small sensor nodes. Global data collecting. WSNs must manage energy and resources.
Virtualization makes WSNs adaptable, scalable, and resource-managed. Virtual programs can share hardware sensor nodes. Resources, function separation, and system performance increase.
WSN virtualization framework design and analysis may include resource allocation, scheduling, communication algorithms, protocols, and procedures. The framework's ability to improve WSN resource utilization and system efficiency may require simulation or real-world testing.
Wireless Network Cost-Effectiveness
(Kumar, 2022) WSNs run smart grids. WSN wireless sensor nodes work alone. Sensor nodes monitor power use, grid stability, voltage, and environment. Wireless data analyses smart grid performance.
Wireless Sensor Networks improve power system dependability, efficiency, and sustainability. Smart grid sensors track performance. Grid operators alter systems instantaneously. WSN load balancing, fault detection, and power distribution improve grid stability, downtime, and energy management. Improves electrical system efficiency, reliability, and sustainability.
(Keerthi, 2019) "Energy-Delay Based Route Request Scheme" load-balances wireless mesh networks. This structure reduces network slowness and maximizes energy consumption. The recommended method finds the fastest and most energy-efficient data transport channels in wireless mesh networks. This strategy can improve a wireless mesh network's performance by distributing traffic across many channels, optimizing resource consumption, and reducing energy waste.
Design of Wireless Network
(Prabha, 2018) The paper discusses real-time wireless sensor network best practises. This topology strategically arranges sensor nodes to improve network performance. Optimizing network design improves data transmission, energy consumption, and latency, enabling real-time monitoring and data collection across a wide range of use cases. Node location, communication range, and routing protocols are considered for collecting and transmitting real-time sensor data.
(Li, 2019) Low-power wireless sensor network LEMoNet monitors server rooms. It gathers center data cheaply. LEMoNet uses wireless sensor networks to monitor temperature, humidity, and power utilization. Low-power data transfer optimizes. This technique enhances data centre resource management, energy costs, and efficiency. LEMoNet's green data center monitoring architecture.
The implication of Wireless Security
(Verma, 2022) IoT secure WSNs are described. IoT security solutions secure WSNs. WSN security prioritizes privacy, integrity, authentication, and availability. IoT security improves WSN security and enables fast, reliable sensor node connectivity. This approach makes wireless sensor networks safer and more dependable by protecting data privacy and integrity.
(Béatrix-May, 2022) It secures Wireless Sensor Network-based Mission-Critical Cyber-Physical Systems (MCPS).
WSNs are smart systems with numerous tiny sensor nodes that wirelessly capture and transport data. Mission-Critical Cyber-Physical Systems (MCPS) need these networks. MCPS' widespread WSN use poses security concerns. This design tackles security challenges when MCPS combines Wireless Sensor Networks. Encryption, authentication, and intrusion detection systems are developed using WSNs to improve MCPS security and dependability. Secure sensitive data and maintain critical systems.
(Zahid, 2020) Secures RFID, WSN, and OCN. RFID uses radio waves, whereas WSNs gather and distribute data. Fiber optic networks carry data rapidly and reliably. The design secures these tools.
It safeguards RFID, WSN, and OCN users. This article discusses security dangers and issues defending these systems against unauthorized access, data interception, manipulation, and denial of service attacks. The design secures RFID, WSN, and optical communication networks without compromising data.