摘要: Sensor networks have emerged as a fundamentally new tool for monitoring spatially distributed phenomena. This paper investigates strategy by which sensor nodes detect and estimate non-localized phenomena such "boundaries" "edges"(e.g., temperature gradients, variations in illumination or contamination levels). A general class of boundaries, with mild regularity assumptions, is considered, theoretical bounds on the achievable performance network based boundary estimation are established. hierarchical algorithm proposed that achieves near-optimal balance between mean-squared error energy consumption.