Mechanism and Analysis on Fine-Grain Gradient Sinking Model in Wireless Sensor Networks
Hongsong Zhu · Journal of Software · 2007
Data sinking is one of the typical transmission patterns in WSN(wireless sensor network) . There is inherent unbalanced traffic load distribution in such funnel like transmission. A case in hop-based sinking(HBS) model is found more intricate than simple thought that inner nodes burden more forwarding tasks,showing the inverse direction within the same hop level comparing with global trend. With a simple weighted average mechanism,a continuous gradient parameter is introduced,which will be dedicated to instructing how to forward data to sink in place of hop count,namely fine-grain gradient sinking(FGS) . Through traffic analysis and detailed simulation,in FGS model the network turns out to be smoother on traffic load distribution and more efficient on data forwarding than that in HBS model.