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Network on chips (NoCs) 3D design expansion is continuously changing to produce energy-efficient NoCs. In this production, the major requirement is to have continuous monitoring with great effort of engineering process and policies which tries to incorporate the machine learning techniques for producing EE-NoCs (energy-efficient NoCs). The learning is a method of neural network system. This thought process of machine learning art in producing EE-NoCs resulted in better production. The internal architecture framed is Power Gate Deployment, voltage instant changeovers, and scaling in the frequenting simultaneous reduction in power. Multiprocessor architecture and platform have been introduced to extend the applicability of Moore's law. The solution for the multiprocessor system architecture is application-specific NoC architecture which are emerging as a leading technology. NoC can be useful in addressing many requirements such as inter-process communication, bandwidth, deadlock avoidance and routing structure. With power now the first order design constraint early stage estimation of NoC power, performance, and area has become important. The topology, switching and routing techniques are necessary in the NoC architecture design. This paper focuses on the n-dimension hypercube network on chip topological structure. It is used for more efficient performance and reliability for data communication. Therefore, in this paper, we are going to go through a bunch of different concepts, such as routing deadlock, and the router pipeline. Keywords Network on chip (NoC) • Power gate • Machine learning • Frequency scale • System on chip (SOC)This article is part of the topical collection "Computational Statistics" guest edited by Anish Gupta, Mike Hinchey, Vincenzo Puri, Zeev Zalevsky and Wan Abdul Rahim.

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Wireless sensor network (WSN) is a group of interconnected sensor nodes that work wirelessly to capture the information of surroundings. The routing of the network is a challenging task. The routing of WSN is classified as proactive, reactive, and hybrid. Adhoc on-demand distance vector (AODV) routing is an example of reactive routing based on the demand route formations among different nodes in the network. The research article emphasizes the design and simulation of the AODV routing hardware chip using very-high-speed integrated circuit hardware description language (VHDL) programming in Xilinx integrated synthesis environment (ISE) 14.7 software. The performance of the chip is studied based on the field-programmable gate array (FPGA) hardware parameters such as slices, lookup table (LUTs), input/output block (IOB), flipflops, and memory for the different configurations of the network (N = 10, 20 ….100). The delay and frequency are also estimated on the Virtex-5 FPGA. The performance of the WSN with AODV routing is also analyzed based on the packet delivery ratio, throughput, delay, and control overhead. The simulation test cases verified the 8-bit, 64-bit, and 128-bit data communication within the nodes.

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