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基于 SWIPT 的具有干扰感知的困难无线传感器网络路由

Interference-Aware Routing for Difficult Wireless Sensor Network Environment with SWIPT.

机构信息

School of Computer and Communication Engineering, Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, Changsha University of Science and Technology, Changsha 410114, China.

Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications), Ministry of Education, Nanjing 210003, China.

出版信息

Sensors (Basel). 2019 Sep 14;19(18):3978. doi: 10.3390/s19183978.

DOI:10.3390/s19183978
PMID:31540111
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6767025/
Abstract

The main challenges of sensing in harsh industrial and biological environments are the limited energy of sensor nodes and the difficulty of charging sensor nodes. Simultaneous wireless information and power transfer (SWIPT) is a non-invasive option to replenish energy. SWIPT harvests energy and decodes information from the same RF signal, which is influencing the design of a wireless sensor network. In multi-hop multi-flow wireless sensor networks, interference generally exists, and the interference has a different influence on SWIPT. Route, interference and SWIPT are dependent. However, existing works consider SWIPT link resource allocation with a given route or only select path for one flow without interference. Therefore, this paper firstly analyzes the influence of interference on SWIPT, and select the SWIPT routing with interference. We design an interference-based information and energy allocation model to maximize the link capacity with SWIPT. Then, we design an interference-aware route metric, formulate SWIPT routing problem, and design an interference-aware SWIPT routing algorithm. The simulation results show that as the number of flows increases, there is more likely to obtain performance gains from interference and SWIPT.

摘要

在恶劣的工业和生物环境中进行感测的主要挑战是传感器节点的能量有限以及给传感器节点充电的困难。同时无线信息和功率传输 (SWIPT) 是一种非侵入式的补充能量的选择。SWIPT 从同一 RF 信号中采集能量并解码信息，这影响了无线传感器网络的设计。在多跳多流无线传感器网络中，通常存在干扰，并且干扰对 SWIPT 有不同的影响。路由、干扰和 SWIPT 是相互依赖的。然而，现有工作考虑了具有给定路由的 SWIPT 链路资源分配，或者仅为没有干扰的一个流选择路径。因此，本文首先分析了干扰对 SWIPT 的影响，并选择了具有干扰的 SWIPT 路由。我们设计了一个基于干扰的信息和能量分配模型，以最大化具有 SWIPT 的链路容量。然后，我们设计了一种基于干扰的路由度量，公式化了 SWIPT 路由问题，并设计了一种基于干扰的 SWIPT 路由算法。仿真结果表明，随着流数的增加，从干扰和 SWIPT 中获得性能增益的可能性更大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1adf/6767025/52649d875bc2/sensors-19-03978-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1adf/6767025/5e3b041d2cac/sensors-19-03978-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1adf/6767025/62a652150d3a/sensors-19-03978-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1adf/6767025/8227c5161f7c/sensors-19-03978-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1adf/6767025/e2227200aec5/sensors-19-03978-g009.jpg
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