An adaptive source rate regulation scheme for wireless periodical data collection systems

It is often useful and necessary to periodically collect data from many geographically distributed data sources such as sensors and smart meters in applications such as environmental monitoring and smart community applications. In periodic data collection, each data source performs data acquisition every constant period and sends the data to the corresponding data sink as quickly as possible. When multiple data sources periodically send the data to the data sink, interference and collision may occur on the wireless channel, causing severe data loss and transmission delay as well as excessive energy consumption. In this paper, we focus on source rate regulation together with data acquisition time (sampling time) coordination among sources such as synchronous and asynchronous samplings in periodic single hop data collection. It was shown based on simulation that asynchronous sampling works well without changing the basic CSMA/CA parameters and keeps the near optimum throughput by dynamically adjusting the source rate.