Efficient, Decentralized Detection of Qualitative Spatial Events in a Dynamic Scalar Field

Sensors

Myeong-Hun Jeong²  Matt Duckham¹ 

[1] School of Mathematical and Geospatial Sciences, RMIT University, Melbourne, Victoria 3000, Australia;CyberGIS Center for Advanced Digital and Spatial Studies, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA

关键词: geosensor networks;    decentralized spatial computing;    surface networks;    critical points;    coordinate-free algorithm;    spatial event detection;    environmental monitoring;   

DOI  :  10.3390/s150921350

来源: mdpi

【 摘 要 】

This paper describes an efficient, decentralized algorithm to monitor qualitative spatial events in a dynamic scalar field. The events of interest involve changes to the critical points (i.e., peak, pits and passes) and edges of the surface network derived from the field. Four fundamental types of event (appearance, disappearance, movement and switch) are defined. Our algorithm is designed to rely purely on qualitative information about the neighborhoods of nodes in the sensor network and does not require information about nodes’ coordinate positions. Experimental investigations confirm that our algorithm is efficient, withoverall communication complexity (where n is the number of nodes in the sensor network), an even load balance and low operational latency. The accuracy of event detection is comparable to established centralized algorithms for the identification of critical points of a surface network. Our algorithm is relevant to a broad range of environmental monitoring applications of sensor networks.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.