Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/3702
Título: Nano-CF: a Coordination Framework for macro-programming in wireless sensor networks
Autor: Gupta, Vikram
Kim, Junsung
Pandya, Aditi
Lakshmanan, Karthik
Rajkumar, Ragunathan (Raj)
Tovar, Eduardo
Palavras-chave: Wireless
Sensor
Network
Macro-programming
Coordination
Aggregation
Data: 2011
Editora: IEEE
Relatório da Série N.º: Sensor, Mesh and Ad Hoc Communications and Networks (SECON);
Resumo: Wireless Sensor Networks (WSN) are being used for a number of applications involving infrastructure monitoring, building energy monitoring and industrial sensing. The difficulty of programming individual sensor nodes and the associated overhead have encouraged researchers to design macro-programming systems which can help program the network as a whole or as a combination of subnets. Most of the current macro-programming schemes do not support multiple users seamlessly deploying diverse applications on the same shared sensor network. As WSNs are becoming more common, it is important to provide such support, since it enables higher-level optimizations such as code reuse, energy savings, and traffic reduction. In this paper, we propose a macro-programming framework called Nano-CF, which, in addition to supporting in-network programming, allows multiple applications written by different programmers to be executed simultaneously on a sensor networking infrastructure. This framework enables the use of a common sensing infrastructure for a number of applications without the users having to worrying about the applications already deployed on the network. The framework also supports timing constraints and resource reservations using the Nano-RK operating system. Nano- CF is efficient at improving WSN performance by (a) combining multiple user programs, (b) aggregating packets for data delivery, and (c) satisfying timing and energy specifications using Rate- Harmonized Scheduling. Using representative applications, we demonstrate that Nano-CF achieves 90% reduction in Source Lines-of-Code (SLoC) and 50% energy savings from aggregated data delivery.
Peer review: yes
URI: http://hdl.handle.net/10400.22/3702
ISBN: 978-1-4577-0094-1
ISSN: 2155-5486
Versão do Editor: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5984931
Aparece nas colecções:ISEP – CISTER – Comunicações em eventos científicos

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