Hierarchical data dissemination scheme for large scale sensor networks

In this paper, we propose energy efficient schemes for data dissemination in sensor networks. Our schemes are based on a hierarchical data dissemination model. The hierarchical data dissemination scheme (HDDS) leverages the fact that a nonuniform grid can be constructed to disseminate data based on sink density without any prior information about the position of the sinks. This approach seems to be promising as preliminary experimental results show that an average energy savings of 10-30% can be achieved using our schemes. Even with large number of sources and sinks, the schemes scale well yielding high throughput.. Experimental results show FDDD is suitable for applications which require higher throughput and minimum latency; fully distinct data dissemination for networks with limited energy consumption but can withstand some delay and loss of data, and limited sharing data dissemination is suitable for applications with large number of sources and sinks and average energy consumption and delay.