The past decade has witnessed the great success of wireless sensor networks. Recently, an increasing number of WSN systems are deployed in indoor environments for the applications such as indoor environment monitoring and air condition control systems. Such a trend brings in new challenges to low-power and high-throughput protocol designs in WSNs because WSNs operate on the 2.4GHz license-free band, which is crowded by the heterogeneous interference caused by ever-developing wireless technologies in 2.4GHz such as WiFi and Bluetooth.

In my first work, I study the impacts of heterogeneous interference on duty cycling techniques. We observe nodes wakes up more frequently but receive no valid packets under the interference environments. We investigate the reasons and then study how...[ Read more ]

The past decade has witnessed the great success of wireless sensor networks. Recently, an increasing number of WSN systems are deployed in indoor environments for the applications such as indoor environment monitoring and air condition control systems. Such a trend brings in new challenges to low-power and high-throughput protocol designs in WSNs because WSNs operate on the 2.4GHz license-free band, which is crowded by the heterogeneous interference caused by ever-developing wireless technologies in 2.4GHz such as WiFi and Bluetooth.

In my first work, I study the impacts of heterogeneous interference on duty cycling techniques. We observe nodes wakes up more frequently but receive no valid packets under the interference environments. We investigate the reasons and then study how to keep the low duty cycle under heterogeneous interference environments. We propose a low-power MAC design to improve the energy efficient under interference.

In my second work, I study the performance of existing data collection methods under interference environments. We find that the throughput is harmed because the spectrum crowded by a variety of wireless technologies squeeze the free channel space for WSNs. Hence, I design a novel dynamic channel hopping method that always discovery and leverage the good channels accurately to improve the throughput under heterogeneous interference environments.

In my third work, I study the performance of data dissemination under various environments. We observe low throughput under both noisy and clean environments due to the improper usage of reliability-guarantee mechanisms. Hence, I propose a general data dissemination method that dynamically adjust the strategy according to the ambient environments for high throughput.