Advancements in Network Resilience and Communication Optimization for WSNs and VANETs

The recent developments in the field of wireless sensor networks (WSNs) and vehicular ad hoc networks (VANETs) highlight a significant shift towards optimizing network performance and reliability through advanced algorithms and protocols. In WSNs, there is a notable focus on enhancing network resilience and coverage through innovative self-healing mechanisms and node deployment strategies. These advancements aim to address challenges related to node failure and energy depletion, ensuring sustained network operation and efficiency. On the other hand, VANETs research is increasingly leveraging metaheuristic algorithms and parallel computing techniques to optimize communication protocols and routing strategies. This approach not only improves the quality of service (QoS) but also addresses the dynamic and decentralized nature of vehicular networks, facilitating smarter and more reliable communications.

Noteworthy Papers

  • Network-centric optimal hybrid sensing hole recovery and self-healing in IPV6 WSNs: Introduces a superior node relocation and self-healing mechanism, significantly improving coverage and energy efficiency.
  • Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networks: Proposes a multi-objective optimization scheme for fair resource allocation in 5G NR V2I networks, enhancing access fairness across different vehicle speeds.
  • Automatic tuning of communication protocols for vehicular ad hoc networks using metaheuristics: Demonstrates the effectiveness of Particle Swarm Optimization in configuring communication protocols for VANETs, outperforming other state-of-the-art optimization techniques.
  • Intelligent OLSR Routing Protocol Optimization for VANETs: Presents an automatic optimization of the OLSR protocol using metaheuristics, achieving better QoS than standard configurations and human expert settings.
  • Parallel multi-objective metaheuristics for smart communications in vehicular networks: Explores the use of parallel multi-objective algorithms to optimize the Ad hoc On Demand Vector routing protocol, showcasing superior computational efficiency and network performance.

Sources

Network-centric optimal hybrid sensing hole recovery and self-healing in IPV6 WSNs

Enhanced SPS Velocity-adaptive Scheme: Access Fariness in 5G NR V2I Networks

Automatic tuning of communication protocols for vehicular ad hoc networks using metaheuristics

Intelligent OLSR Routing Protocol Optimization for VANETs

Parallel multi-objective metaheuristics for smart communications in vehicular networks

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