Adaptive Information Delivery in Data-Intensive Sensor Networks

The combined effect of various problems such as congestion, collisions and route unavailability for data in Data Intensive Sensor Networks (DISNs) is hard to estimate. This is one of the major reasons why existing solutions that try to optimize all these do not scale and have limited applicability. We introduce an efficient light-weight approach that significantly facilitates information delivery in DISNs. Our approach is based on considering DISN as a complex adaptive system where decisions made locally by individual sensors (e.g., dynamic rate adaptation) can efficiently converge to desirable information processing patterns. Since, each node makes decisions based on local knowledge, this approach is more scalable