Based on the recent research, the communication cost has been the most important open issue in network on chip (NoC). In other words, the lower the communication cost, the better the performance of the NoC and the lower the energy consumption. In this regard, although different mapping algorithms are proposed, they could not efficiently address some important challenges such as high complexity, early convergence at the local optimum, and performing well for all task graphs. The proposed method named IAM (IWO algorithm mapping) is an enhanced 2D-mesh-based-NoC mapping method which adapts the invasive weed optimization (IWO) algorithm, in order to efficiently map the IP cores to routers. The obtained results indicate that the communication cost improved 13, 9, 8, 4, and 4 percent in comparison with the LMAP, the CASTNET, the CLUSTER, the NMAP, and the PSO algorithm, respectively. Regarding energy consumption, IAM outperforms the NMAP, the CASTNET, and the CMAP and the Onyx algorithms by providing 15, 10, 7, and 7 percent improvement in energy consumption, respectively. Max delay was reduced by 11, 4, 5, and 5 percent compared to NMAP, CASTNET, CMAP, and Onyx algorithms, respectively. Throughput was improved by 9, 9, 4, and 10 percent compared to NMAP, CASTNET, CMAP, and Onyx algorithms, respectively.

根据最近的研究，通信成本一直是片上网络（NoC）中​​最重要的开放问题。换句话说，通信成本越低，NoC的性能越好，能耗也越低。在这方面，尽管提出了不同的映射算法，但是它们不能有效地解决一些重要的挑战，例如高复杂度，局部最优的早期收敛以及对所有任务图的良好执行。所提出的称为IAM（IWO算法映射）的方法是一种增强的基于2D网格的NoC映射方法，该方法适用于入侵性杂草优化（IWO）算法，以便将IP内核有效地映射到路由器。所获得的结果表明，与LMAP，CASTNET，CLUSTER，NMAP相比，通信成本提高了13、9、8、4和4％。和PSO算法。在能耗方面，IAM的能耗分别提高了15％，10％，7％和7％，性能优于NMAP，CASTNET，CMAP和Onyx算法。与NMAP，CASTNET，CMAP和Onyx算法相比，最大延迟分别降低了11％，4％，5％和5％。与NMAP，CASTNET，CMAP和Onyx算法相比，吞吐量分别提高了9％，9％，4％和10％。