The higher the better? Think twice!

ISCCSP(2014)

引用 0|浏览2
暂无评分
摘要
As research interest in the Internet of Things continue to grow, concerns are raised regarding potential limitations of the current body of knowledge on performance engineering for wireless links. Best practices in this thematic area have insofar largely been focused on human-to-human communications (e.g., wide area cellular wireless networks) and traffic patterns emerging from human actions (e.g., asymmetric bandwidth between the uplink and downlink traffic directions) in urban areas. As a result, studies of the propagation profile that would properly characterize the deployment of wireless technologies (e.g., sensor networks) in rural areas and for specific applications of machine-to-machine (M2M) communications are not sufficiently developed in the literature. To address this shortcoming, we collect and study RSSI measurements as a function of base station antenna height and at a certain distance and transmitting antenna height, under a rural setting. The measurements collected from our testbed instrumentation seem to follow closely the theoretical two-ray model. It is therefore shown here that whenever a second ray has impact on propagation characteristics there is always an optimum and minimum base station antenna height. A method for defining those heights is presented in this paper, which further allows performance optimisation of a wireless sensor network.
更多
查看译文
关键词
internet of things,optimisation,transmitting antennas,wireless sensor networks,m2m communications,rssi measurements,base station antenna,human-to-human communications,machine-to-machine communications,testbed instrumentation,traffic patterns,transmitting antenna,two-ray model,wireless links,wireless sensor network,base station antenna height,performance optimisation,reflection coefficient,rf propagation,two ray model,wireless sensor,wireless communication,base stations
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要