  Energy efficiency is one of the most critical issue in design of System on
Chip. In Network On Chip (NoC) based system, energy consumption is influenced
dramatically by mapping of Intellectual Property (IP) which affect the
performance of the system. In this paper we test the antecedently extant
proposed algorithms and introduced a new energy proficient algorithm stand for
3D NoC architecture. In addition a hybrid method has also been implemented
using bioinspired optimization (particle swarm optimization) technique. The
proposed algorithm has been implemented and evaluated on randomly generated
benchmark and real life application such as MMS, Telecom and VOPD. The
algorithm has also been tested with the E3S benchmark and has been compared
with the existing algorithm (spiral and crinkle) and has shown better reduction
in the communication energy consumption and shows improvement in the
performance of the system. Comparing our work with spiral and crinkle,
experimental result shows that the average reduction in communication energy
consumption is 19% with spiral and 17% with crinkle mapping algorithms, while
reduction in communication cost is 24% and 21% whereas reduction in latency is
of 24% and 22% with spiral and crinkle. Optimizing our work and the existing
methods using bio-inspired technique and having the comparison among them an
average energy reduction is found to be of 18% and 24%.
