Using Area Hierarchy for Multi-Resolution Storage and Search in Large Wireless Sensor Networks

We consider multi-resolution storage, a technique for providing scalable adaptive data fidelity, necessary for many applications of large wireless sensor networks (WSNs). Although the previously proposed design of multi-resolution storage, based on quad trees and geographic routing, is conceptually simple, it exhibits inherent problems if applied to real-world WSNs. To address these problems, we revisit some of the networking assumptions and propose an alternative design that employs an overlay combining area and landmark hierarchies. Simulations and initial experiments with a prototype embedded implementation indicate that our solution can be scalable and can work on real hardware, which motivates further research.