The throughput optimization for wireless sensor networks adopting interference alignment and successive interference can
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The throughput optimization for wireless sensor networks adopting interference alignment and successive interference cancellation Xu Ding1 · Jing Wang1 · Chong Zhao1 · Peng Zhang1 · Yucheng Wu2
· Honghao Gao3
Received: 1 February 2020 / Accepted: 21 July 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Interference management has always been a research hotspot in the field of wireless communications. Currently, researches based on interference management mostly focus on an interference management technology, and few studies have combined multiple interference management technologies. This paper proposes an interference management technology that combines Interference Alignment (IA) and Successive Interference Cancellation (SIC) technologies. First, we determine the routing path of the session with the goal to minimize hops and interference and establish the IA-SIC mathematics model in multihop networks. Based on this model, a cross-layer optimization framework for multi-hop networks is developed. The goal is to make full use of the advantages of IA and SIC to improve the end-to-end data transmission rate of multi-hop sessions. To evaluate the performance of our algorithm in multi-hop networks, we compare the performance of the network using IA-SIC with that without SIC. Simulation results show that using IA-SIC can significantly increase the throughput of the communication sessions. Keywords Multi-hop wireless networks · IA · SIC · Throughput optimization
This article is part of the Topical Collection: Special Issue on P2P Computing for Deep Learning Guest Editors: Ying Li, R.K. Shyamasundar, Yuyu Yin, Mohammad S. Obaidat Yucheng Wu
wuyc [email protected] Xu Ding [email protected] Jing Wang [email protected] Chong Zhao [email protected] Peng Zhang [email protected] Honghao Gao [email protected] 1
Hefei University of Technology, Hefei, China
2
Taiyuan University of Technology, Taiyuan, China
3
Shanghai University, Shanghai, China
1 Introduction Wireless sensor networks (WSNs) are application-specific networks composed of small nodes, which can sense the environment, collect the data, and every single node can communicate with each other wirelessly via radio link. As a research hotspot in recent years, WSNs technology involves multidisciplinary research fields and has application prospects in the fields of environmental monitoring, medical monitoring, urban traffic management, warehouse management, military reconnaissance and other practical areas [1, 2]. The widespread development of wireless technologies leads to constant growth in the number of users and devices. The increasing of the nodes in a limited frequency range leads to heavier interference during data transmission or reception. Some researches are concentrated on data flow prediction or task scheduling optimization to improve throughout in WSNs [3, 4]. In recent years, the further improvement of wireless network performance and capacity through interference management is attractin
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