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一种使用低能耗技术扩展和控制无线传感器网络的高效网络解决方案。

An efficient networking solution for extending and controlling wireless sensor networks using low-energy technologies.

作者信息

Labib Mostafa Ibrahim, ElGazzar Mohamed, Ghalwash Atef, AbdulKader Sarah Nabil

机构信息

Computer Science, Faculty of Computers and Artificial Intelligence, Helwan University, Cairo, Egypt.

Vodafone Company, Cairo, Egypt.

出版信息

PeerJ Comput Sci. 2021 Nov 24;7:e780. doi: 10.7717/peerj-cs.780. eCollection 2021.

Abstract

Wireless sensor networks connect a set of highly flexible wireless devices with small weight and size. They are used to monitor and control the environment by organizing the acquired data at a central device. Constructing fully connected networks using low power consumption sensors, devices, and protocols is one of the main challenges facing wireless sensor networks, especially in places where it is difficult to establish wireless networks in a normal way, such as military areas, archaeological sites, agricultural districts, construction sites, and so on. This paper proposes an approach for constructing and extending Bi-Directional mesh networks using low power consumption technologies inside various indoors and outdoors architectures called "an adaptable Spider-Mesh topology". The use of ESP-NOW protocol as a communication technology added an advantage of longer communication distance versus a slight increase of consumed power. It provides 15 times longer distance compared to BLE protocol while consuming only twice as much power. Therefore, according to our theoretical and experimental comparisons, the proposed approach could provide higher network coverage while maintaining an acceptable level of power consumption.

摘要

无线传感器网络连接了一组重量轻、体积小且高度灵活的无线设备。它们通过在中央设备上组织采集到的数据来监测和控制环境。使用低功耗传感器、设备和协议构建全连接网络是无线传感器网络面临的主要挑战之一,尤其是在难以以常规方式建立无线网络的地方,如军事区域、考古遗址、农业区、建筑工地等。本文提出了一种在各种室内和室外架构中使用低功耗技术构建和扩展双向网状网络的方法,称为“自适应蜘蛛网状拓扑”。使用ESP-NOW协议作为通信技术,增加了通信距离更长的优势,而功耗略有增加。与BLE协议相比,它提供的通信距离长15倍,而功耗仅为BLE协议的两倍。因此,根据我们的理论和实验比较,所提出的方法可以在保持可接受功耗水平的同时提供更高的网络覆盖范围。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38d3/8627223/93fab730afe7/peerj-cs-07-780-g001.jpg

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