TL;DR
Simulation results suggest that the proposed EGWO-CS-based approach offers significant improvements in packet delivery ratio, energy efficiency, trust precision, and network lifetime compared to conventional GWO, GWO-CS, and other standard schemes.
Wireless Sensor Networks (WSN) are significant for various applications, however ensuring data security and energy consumption remains a critical challenge. The conventional methods lacked sufficient security, exhibited communication overhead, and energy inefficiencies. Therefore, this research proposes the Distributed...
The results of statistical validation using the Wilcoxon Signed-Rank test confirm that both the reduction in energy consumption and network longevity offered by ECHVM are highly significant, justifying ECHVM as a mathematically sound, permanent, scalable security framework suitable for resource-constrained, dense Inter...
Simulation analyses conducted in NS-3 demonstrate that the proposed integrated, multi-tier optimization framework achieves superior performance in terms of Packet Delivery Ratio (PDR), energy conservation, end-to-end latency, and resilience against malicious routing attacks compared to existing baseline protocols.
Amid the explosive growth of latency-aware and computation-sensitive services, mobile edge computing (MEC) assisted by aerial networks, such as high-altitude platforms (HAPs) and low-altitude unmanned aerial vehicles (UAVs), has emerged as an effective solution for providing computational capabilities to regions with s...
HBTV-SR, a permissioned blockchain-assisted trust-evidence retrieval method for secure IoT/WSN routing, indicates that edge-assisted ledger-backed trust retrieval improves secure routing reliability while avoiding excessive blockchain workload on constrained IoT/WSN nodes.
A new hybrid bioinspired optimization framework for efficient blockchain mining is presented, integrating Genetic Algorithm, Firefly optimization, and Particle Swarm Optimization into a unified architecture to take advantage of their complementary strengths.
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