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Proceedings of the 7th annual international conference on Mobile computing and networking
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Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
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ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Feedback Control Scheduling in Distributed Real-Time Systems
RTSS '01 Proceedings of the 22nd IEEE Real-Time Systems Symposium
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IWCMC '07 Proceedings of the 2007 international conference on Wireless communications and mobile computing
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WICON '07 Proceedings of the 3rd international conference on Wireless internet
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International Journal of Communication Networks and Distributed Systems
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APNOMS '08 Proceedings of the 11th Asia-Pacific Symposium on Network Operations and Management: Challenges for Next Generation Network Operations and Service Management
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AIC'08 Proceedings of the 8th conference on Applied informatics and communications
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ACM SIGMOBILE Mobile Computing and Communications Review
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WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
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ICOIN'09 Proceedings of the 23rd international conference on Information Networking
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ICT'09 Proceedings of the 16th international conference on Telecommunications
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International Journal of Ad Hoc and Ubiquitous Computing
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ICDCN'08 Proceedings of the 9th international conference on Distributed computing and networking
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GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
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International Journal of Information and Communication Technology
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International Journal of Communication Networks and Distributed Systems
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In this paper, we present a spatiotemporal communication protocol for sensor networks, called SPEED. SPEED is specifically tailored to be a localized algorithm with minimal control overhead. End-to-end soft real-time communication is achieved by maintaining a desired delivery speed across the sensor network through a novel combination of feedback control and nondeterministic geographic forwarding. SPEED is a highly efficient and scalable protocol for sensor networks where the resources of each node are scarce. Theoretical analysis, simulation experiments, and a real implementation on Berkeley motes are provided to validate the claims.