Conventional application mapping techniques for 3D NoCs frequently face difficulties in
simultaneously optimizing power consumption, communication delay, and area efficiency.
This paper presents the HaSOA-ADP-3D NoC methodology as a new approach to address these
challenges. This paper presents a novel Harbor Seal Whiskers Optimization Algorithm
(HaSOA) coupled with a Communication Profile Registry (CPR) for efficient application
mapping in 3D NoC architectures (HaSOA-ADP-3D NoC). The proposed methodology aims
to optimize communication area, reduce communication delay, and minimize power
consumption (ADP). HaSOA inspired by seal whiskers' sensory capabilities, effectively
explores the search space, and avoids local optima. CPR captures essential communication
characteristics of cores, guiding the optimization process. The proposed HaSOA-ADP-3D NoC
method achieves a power consumption of 18.415W, a delay of 12.105 microseconds, and an
execution time of 21.115 seconds. Experimental results on standard benchmarks like VOPD
and MPEG-4, demonstrate significant improvements in power consumption, communication
delay, and overall performance compared to existing methods. The proposed HaSOA-ADP-3D
NoC method demonstrates its potential as a valuable tool for developing 3D NoC systems that
excel in both performance and energy efficiency.