Biologically Inspired Data Propagation and Aggregation Method for Wireless Sensor Networks.
Joshua Freeman, Maneesha Vinodini Ramesh, Anish Mohan · 2008
Abstract- This paper presents a novel method of relaying data collected in a directed network towards a sink node. The data is dynamically correlated as the data messages propagate towards the sink node through the network. By simple mathematical means, the “strength ” of the data can be increased or decreased based on it’s correlation with other encountered data sets. In addition, the strengths of the messages are decayed or automatically reduced each time the data is propagated or relayed towards the sink node (unless it is boosted by correlation with other data). This sets up a dynamic between the strengths of messages being boosted by correlation and being reduced via decay. By letting irrelevant (low strength and uncorrelated) messages die, energy is conserved in the network through reduced message forwarding, congestion, and analysis. This is especially important in wireless sensor networks, where energy consumption should be minimized for maximum network lifetime and reliability. A mathematical model of how to achieve this scenario is presented here. Initial results are given.