An Adaptive Routing Algorithm for Wireless Network on Chips

• Published in: Journal of electrical and computer engineering innovations (Online) Vol. 10; no. 2; pp. 487 - 496
• Main Authors: A. Tajary, E. Tahanian
• Format: Journal Article
• Language: English
• Published: Shahid Rajaee Teacher Training University 01.07.2022
• Subjects: noc; routing; wireless network on chip
• ISSN: 2322-3952; 2345-3044
• DOI: 10.22061/jecei.2022.8464.518

Background and Objectives: Wireless Network on Chip (WNoC) is one of the promising interconnection architectures for future many-core processors. Besides the architectures and topologies of these WNoCs, designing an efficient routing algorithm that uses the provided frequency band to achieve better network latency is one of the challenges.Methods: Using wireless connections reduces the number of hops for sending data in a network, which can lead to lower latency for data delivery and higher throughput in WNoCs. On the other hand, since using wireless links reduces the number of hops for data transfer; this can result in congestion around the wireless nodes. The congestion may result in more delay in data transfer which reduces the network throughput of WNoCs. Although there are some good routing algorithms that balance traffic using wired and wireless connections for synthetic traffic patterns, they cannot deal with dynamic traffic patterns that existed in real-world applications. In this paper, we propose a new routing algorithm that uses the wireless connections as much as possible, and in the case of congestion, it uses the wired connection instead.Results: We investigated the proposed method using eight applications from the Parsec benchmark suite. Simulation results show that the proposed method can achieve up to 13.9% higher network throughput with a power consumption reduction up to 1.4%.Conclusion: In this paper, we proposed an adaptive routing algorithm that uses wireless links to deliver data over the network on chip. We investigated the proposed method on real-work applications. Simulation results show that the proposed method can achieve higher network throughput and lower power consumption.