Communication Models for Algorithm Design in Networked Sensor Systems
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 8 - Volume 09
Proceedings of the 5th ACM international conference on Embedded software
On communication models for algorithm design in networked sensor systems: A case study
Pervasive and Mobile Computing
Platform-based design of wireless sensor networks for industrial applications
Proceedings of the conference on Design, automation and test in Europe: Proceedings
System level design paradigms: Platform-based design and communication synthesis
Proceedings of the 41st annual Design Automation Conference
Platform based design for wireless sensor networks
Mobile Networks and Applications
A comparison of software platforms for wireless sensor networks: MANTIS, TinyOS, and ZigBee
ACM Transactions on Embedded Computing Systems (TECS)
Tool-aided design and implementation of indoor surveillance wireless sensor network
SAMOS'07 Proceedings of the 7th international conference on Embedded computer systems: architectures, modeling, and simulation
Macro-programming wireless sensor networks using Kairos
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
Adaptive energy-efficient scheduling for hierarchical wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
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Most of current research in wireless networked embedded sensing approaches the problem of application design as one of manually customizing network protocols. The design complexity and required expertise make this unsuitable for increasingly complex sensor network systems. We address this problem from a parallel and distributed systems perspective and propose a methodology that enables domain experts to design, analyze, and synthesize sensor network applications without requiring a knowledge of implementation details. At the core of our methodology is a virtual architecture for a class of sensor networks that hides enough system details to relieve programmers of the burden of managing low-level control and coordination, and provides algorithm designers with a clean topology and cost model.We illustrate this methodology using a real-world topographic querying application as a case study.