Borza Paul Nicolae, Machedon-Pisu Mihai, Hamza-Lup Felix
Department of Electronics and Computers, Faculty of Electrical Engineering and Computers, Transilvania University of Brasov, 500024 Brasov, Romania.
Department of Computer Science, Georgia Southern University, P.O. Box 7997, Stateboro, GA 30460, USA.
Sensors (Basel). 2019 Jul 31;19(15):3364. doi: 10.3390/s19153364.
Autonomous Wireless Sensors (AWSs) are at the core of every Wireless Sensor Network (WSN). Current AWS technology allows the development of many IoT-based applications, ranging from military to bioengineering and from industry to education. The energy optimization of AWSs depends mainly on: Structural, functional, and application specifications. The holistic design methodology addresses all the factors mentioned above. In this sense, we propose an original solution based on a novel architecture that duplicates the transceivers and also the power source using a hybrid storage system. By identifying the consumption needs of the transceivers, an appropriate methodology for sizing and controlling the power flow for the power source is proposed. The paper emphasizes the fusion between information, communication, and energy consumption of the AWS in terms of spectrum information through a set of transceiver testing scenarios, identifying the main factors that influence the sensor node design and their inter-dependencies. Optimization of the system considers all these factors obtaining an energy efficient AWS, paving the way towards autonomous sensors by adding an energy harvesting element to them.
自主无线传感器（AWS）是每个无线传感器网络（WSN）的核心。当前的AWS技术推动了许多基于物联网的应用开发，涵盖从军事到生物工程，以及从工业到教育等领域。AWS的能量优化主要取决于：结构、功能和应用规范。整体设计方法解决了上述所有因素。从这个意义上讲，我们基于一种新颖的架构提出了一种原创解决方案，该架构使用混合存储系统复制收发器以及电源。通过确定收发器的功耗需求，提出了一种合适的方法来确定电源的大小并控制其功率流。本文通过一组收发器测试场景，在频谱信息方面强调了AWS的信息、通信和能量消耗之间的融合，识别了影响传感器节点设计的主要因素及其相互依存关系。系统优化考虑了所有这些因素，从而获得了一个高能效的AWS，通过为其添加能量收集元件，为自主传感器的发展铺平了道路。
