A multi-channel bulk data collection for structural health monitoring using wireless sensor networks
Takuto Kuroiwa, Makoto Suzuki, Yasutaka Yamashita, Shunsuke Saruwatari, Tomonori Nagayama, Hiroyuki Morikawa · 2012
Data-intensive wireless sensor network applications, such as structural health monitoring and earthquake monitoring, require high throughput bulk data collection. Based on the fact that each node stores the same amount of sensor data, we propose a Maximum-Subtree-First Collection Protocol (MSFCP), which adopts Maximum-Subtree-First scheduling on top of multi-channel block transfer to maximize overall throughput. We present the theoretical analysis that MSFCP can achieve optimal throughput in the ideal propagation environment, and we achieve overall throughput of 135 kbps on the IRIS Mote platform.