Besher Kedir Mamo, Nieto-Hipolito Juan Ivan, Buenrostro-Mariscal Raymundo, Ali Mohammed Zamshed
Erik Jonsson School of Engineering & Computer Science, The University of Texas at Dallas, Richardson, TX 75080, USA.
Department of Telematics, FIAD-Universidad Autonoma de Baja California, Ensenada 22860, Mexico.
Sensors (Basel). 2021 Apr 10;21(8):2681. doi: 10.3390/s21082681.
With constantly increasing demand in connected society Internet of Things (IoT) network is frequently becoming congested. IoT sensor devices lose more power while transmitting data through congested IoT networks. Currently, in most scenarios, the distributed IoT devices in use have no effective spectrum based power management, and have no guarantee of a long term battery life while transmitting data through congested IoT networks. This puts user information at risk, which could lead to loss of important information in communication. In this paper, we studied the extra power consumed due to retransmission of IoT data packet and bad communication channel management in a congested IoT network. We propose a spectrum based power management solution that scans channel conditions when needed and utilizes the lowest congested channel for IoT packet routing. It also effectively measured power consumed in idle, connected, paging and synchronization status of a standard IoT device in a congested IoT network. In our proposed solution, a Freescale Freedom Development Board (FREDEVPLA) is used for managing channel related parameters. While supervising the congestion level and coordinating channel allocation at the FREDEVPLA level, our system configures MAC and Physical layer of IoT devices such that it provides the outstanding power utilization based on the operating network in connected mode compared to the basic IoT standard. A model has been set up and tested using freescale launchpads. Test data show that battery life of IoT devices using proposed spectrum based power management increases by at least 30% more than non-spectrum based power management methods embedded within IoT devices itself. Finally, we compared our results with the basic IoT standard, IEEE802.15.4. Furthermore, the proposed system saves lot of memory for IoT devices, improves overall IoT network performance, and above all, decrease the risk of losing data packets in communication. The detail analysis in this paper also opens up multiple avenues for further research in future use of channel scanning by FREDEVPLA board.
在互联社会中，随着需求的不断增加，物联网（IoT）网络经常变得拥堵。物联网传感器设备在通过拥堵的物联网网络传输数据时会消耗更多电力。目前，在大多数情况下，使用的分布式物联网设备没有基于频谱的有效功率管理，并且在通过拥堵的物联网网络传输数据时无法保证长期电池寿命。这使用户信息面临风险，可能导致通信中重要信息的丢失。在本文中，我们研究了在拥堵的物联网网络中由于物联网数据包重传和不良通信信道管理而消耗的额外功率。我们提出了一种基于频谱的功率管理解决方案，该方案在需要时扫描信道状况，并利用最低拥堵信道进行物联网数据包路由。它还有效地测量了在拥堵的物联网网络中标准物联网设备在空闲、连接、寻呼和同步状态下消耗的功率。在我们提出的解决方案中，使用飞思卡尔自由开发板（FREDEVPLA）来管理与信道相关的参数。在FREDEVPLA级别监督拥塞级别并协调信道分配时，我们的系统配置物联网设备的MAC层和物理层，以便与基本物联网标准相比，在连接模式下基于运行网络提供出色的功率利用率。已经使用飞思卡尔开发板建立并测试了一个模型。测试数据表明，使用所提出的基于频谱的功率管理的物联网设备的电池寿命比物联网设备本身嵌入的非基于频谱的功率管理方法至少增加30%。最后，我们将我们的结果与基本物联网标准IEEE802.15.4进行了比较。此外，所提出的系统为物联网设备节省了大量内存，提高了整体物联网网络性能，最重要的是，降低了通信中丢失数据包的风险。本文的详细分析还为FREDEVPLA板未来使用信道扫描的进一步研究开辟了多条途径。
