System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
The nesC language: A holistic approach to networked embedded systems
PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
The flooding time synchronization protocol
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Software design patterns for TinyOS
LCTES '05 Proceedings of the 2005 ACM SIGPLAN/SIGBED conference on Languages, compilers, and tools for embedded systems
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
Opportunistic networking: data forwarding in disconnected mobile ad hoc networks
IEEE Communications Magazine
A survey of communication/networking in Smart Grids
Future Generation Computer Systems
RETRACTED: Impacts of sensor node distributions on coverage in sensor networks
Journal of Parallel and Distributed Computing
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A flexible Wireless Sensor Network platform has been developed and deployed at the Instituto Superior Tecnico/Technical University of Lisbon (IST-TUL). This test-bed integrates multiple projects into a single network, creating an expandable platform that facilitates future developments. To achieve this flexibility, a dedicated framework was developed, enabling fine-grained parameter control and application programmability through a centralised configuration panel. On top of this platform, four applications have been developed and currently coexist within the network, illustrating the new platform's capabilities. The article discusses the test-bed architecture and deployment challenges, as well as the environmental interaction and vibration monitoring applications. An experimental evaluation of these applications' capacity limits and performance shows that in-network processing must be used with the vibration monitoring application to avoid congestion collapse. Furthermore, a minimum amount of time is needed to complete processing tasks with the Environmental Interaction Application (approximately 200 ms in our test topology).