当前位置: X-MOL 学术J. Sci. Ind. Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
An Optimal Graph based ZigBee Mesh for Smart Homes
Journal of Scientific & Industrial Research ( IF 0.7 ) Pub Date : 2020-05-15
Shanmuk Srinivas Amiripalli, Veeramallu Bobba

The usages of IoT devices are increasing exponentially since a decade. To manage all these devices new technologies like ZigBee, 6Lowpan, LoRa etc., are available in the industry. ZigBee is popular among them which are mainly used for home automation systems. Star, cluster tree, mesh supports topologies in ZigBee. These topologies may not fulfill the requirement in improving Quality of service in design of smart home applications. To address this problem a simple, scalable, survivable graph-based topology named as TGO topology is proposed. Implementation can be performed in three phases deployment of sensors, basic topology formation and network formation. For the proposed topology, experiments were conducted on various qualities of service parameters like battery level, power consumption, bandwidth, throughput, capacity, network life time etc. by using cupcarbon simulator.

中文翻译:

基于最优图的智能家居ZigBee网格

十年来,物联网设备的使用呈指数增长。为了管理所有这些设备,业界可以使用ZigBee,6Lowpan,LoRa等新技术。ZigBee在其中很流行,主要用于家庭自动化系统。星,簇树,网格支持ZigBee中的拓扑。这些拓扑可能无法满足提高智能家居应用程序设计服务质量的要求。为了解决这个问题,提出了一种简单,可扩展,可生存的基于图的拓扑,称为TGO拓扑。可以分三个阶段部署传感器,基本拓扑结构和网络结构来实施。对于建议的拓扑,对各种质量的服务参数(例如电池电量,功耗,带宽,吞吐量,容量,网络寿命等)进行了实验。
更新日期:2020-05-15
down
wechat
bug