PlanetLab: an overlay testbed for broad-coverage services
ACM SIGCOMM Computer Communication Review
Sentire: A Framework for Building Middleware for Sensor and Actuator Networks
PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
A prototype on RFID and sensor networks for elder healthcare: progress report
Proceedings of the 2005 ACM SIGCOMM workshop on Experimental approaches to wireless network design and analysis
RFID middleware design: addressing application requirements and RFID constraints
Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies
Adaptive cleaning for RFID data streams
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Integrated RFID data modeling: an approach for querying physical objects in pervasive computing
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Bridging physical and virtual worlds: complex event processing for RFID data streams
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
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RFIDs are becoming ubiquitous in our social and economic lives, gradually transforming the environment into a smart space. In this paper we introduce SCOUT system built on a novel decentralized architecture for massive scale smart environments. SCOUT provides an underlying framework for efficient management of runtime activities and querying of smart object attributes. The architecture fulfills the need for dynamic attribute detection across a wide range of applications and can be deployed in diverse settings. The proposed SCOUT system can help management and attribute detection in scenarios such retailing, manufacturing, transportation and distribution industries. The advantage of the framework lies in its simplicity and ease of implementation. We present a set of results, by building a simulation environment as well as a workload generator, which highlight the proposed framework scalability.