Abstract
Wireless and Actuators Sensor Networks (WSANs) are one of the key technologies for supporting many Ambient Assisted Living applications. WSAN applications development poses new challenges like dealing with diverse low-level programming abstractions and the heterogeneity of nodes with critical resource limitations. Middleware platforms can hide from final developers the complexity of managing different types of hardware and software variability by applying a Software Product Line approach. This paper proposes a family of middleware for WSANs that can be customized according to the constraints imposed by the particular device, network and applications.
This work has been supported by Spanish Ministerio de Ciencia e Innovación Project TIN2008-01942, the European Commission STREP Project AMPLE IST-033710, by the Brazilian National Council for Scientific and Technological Development (CNPq) and Spanish Fundacion Carolina.
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References
Akyildiz, I.F., et al.: Wireless Sensor and Actor Networks: Research Challenges. Ad Hoc Networks Journal 2(4), 351–367 (2004)
Delicato, F.C., et al.: Reflective Middleware for Wireless Sensor Networks. In: Procs. of the 20th ACM Symposium on Applied Computing, Santa Fe, USA (March 2005)
Apel, S., et al.: Towards the Development of Ubiquitous Middleware Product Lines. In: Gschwind, T., Mascolo, C. (eds.) SEM 2004. LNCS, vol. 3437, pp. 137–153. Springer, Heidelberg (2005)
Costa, P., et al.: The RUNES Middleware for Networked Embedded Systems and its Application in a Disaster Management Scenario. In: Procs. of PERCOM 2007 (2007)
Hughes, D., et al.: GridStix: Supporting Flood Prediction using Embedded Hardware and Next Generation Grid Middleware. In: Procs. of MDC 2006 (2006)
Bencomo, N., et al.: Towards a Meta-Modelling Approach to Configurable Middleware. In: Procs. of the 2nd ECOOP 2005 Workshop RAM-SE (2005)
Lee, K., et al.: Concepts and guidelines of feature modeling for product line software engineering. In: Gacek, C. (ed.) ICSR 2002. LNCS, vol. 2319, pp. 62–77. Springer, Heidelberg (2002)
Heidemann, J., et al.: Building Efficient Wireless Sensor Networks with Low-Level Naming. In: Procs. of 2001 ACM Symposium on Operating Systems Principles, Canada (2001)
Keshavarz, A., Maleki-Tabar, A., Aghajan, H.: Distributed Vision-Based Reasoning for Smart Home Care. In: Proc. of ACM SenSys Workshop on Distributed Smart Cameras (2006)
Tabar, A.M., et al.: Smart home care network using sensor fusion and distributed vision-based reasoning. In: 4th ACM International Workshop on Video Surveillance and Sensor Networks, California, USA (2006)
White, J., et al.: Model-Driven Product-Line Architectures for Mobile Devices. In: Proc. of the 17th Annual Conference of the International Federation of Automatic Control, Korea (2008)
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Delicato, F.C., Fuentes, L., Gámez, N., Pires, P.F. (2009). Variabilities of Wireless and Actuators Sensor Network Middleware for Ambient Assisted Living. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_129
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DOI: https://doi.org/10.1007/978-3-642-02481-8_129
Publisher Name: Springer, Berlin, Heidelberg
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