Research on Multicore Node Performance in Wireless Sensor Network

Abstract

Nowadays, wireless sensor networks (WSN) focus on sounds and images and other complex patterns such as data collection, processing, transmission, integration and reconstruction. In order to support these types of data, network node processors need the higher requirements. The embedded multi-core processors are able to play a great role. For improving the efficiency of multi core processing node, a cache allocation algorithm which provides suitable cache to parallel tasks is proposed. By experiment verification, the proposed algorithm achieves higher performance than that adopting conventional LRU scheduling algorithm which improves the WSN performance and utilization effectively.

A task-efficient sink node based on embedded multi-core SoC for Internet of Things

“…But it lacks of proper tasks scheduling policy to achieve better performance. Zhou et al [28] use multi-core processors into WSNs and propose a cache allocation algorithm which to provide suitable cache for parallel tasks. It improves the performance and utilization effectively of WSNs.…”