Abstract
In this paper we present the research activity we are carrying out in the “Mobile Semantic Self-Organizing Wireless Sensor Networks” Project at the Department of Information Engineering of the University of Modena and Reggio Emilia. In this context, the main aim of our research is to study solutions for the flexible querying of distributed data collected by heterogeneous devices providing measurement readings. To this end, we propose a middleware for wireless sensor networks which is able to autonomously configure the communication and the operations required to each device in order to reduce energy and temporal costs.
This work is partially supported by the “Mobile Semantic Self-Organizing Wireless Sensor Networks” Project.
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References
Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Netw 38(4):393–422
Yao Y, Gehrke J (2002) The cougar approach to in-network query processing in sensor networks. SIGMOD Record 31(3):9–18
Madden S, Franklin MJ, Hellerstein JM, Hong W (2005) TinyDB: an acquisitional query processing system for sensor networks. ACM Trans Database Syst (ACM TODS) 30(1):122–173
Gupta H, Zhu X, Xu X (2009) Deductive framework for programming sensor networks. In Proceedings of the 25th international conference on data engineering (ICDE), Shanghai, pp 281–292
Madden S, Franklin MJ, Hellerstein JM, Hong W (2003) The design of an acquisitional query processor for sensor networks. In Proceedings of the SIGMOD conference, ACM Press, New York, pp 491–502
Intanagonwiwat C, Govindan R, Estrin D, Heidemann JS, Silva F (2003) Directed diffusion for wireless sensor networking. IEEE/ACM Trans Network 11(1):2–16
Bonfils, BJ, Bonnet P (2004) Adaptive and decentralized operator placement for in-network query processing. Telecommun Syst 26(2–4):389–409
Hellerstein JM, Hong W, Madden S (2003) The sensor spectrum: technology, trends, and requirements. SIGMOD Record 32(4):22–27
Deshpande A, Guestrin C, Madden S, Hellerstein JM, Hong W (2004) Model-driven data acquisition in sensor networks. In Proceedings of the 30th International Conference on Very Large Data Bases (VLDB), Toronto, pp 588–599
Deshpande A, Guestrin C, Madden S (2005) Using probabilistic models for data management in acquisitional environments. In Proceedings of the 2nd Biennial Conference on Innovative Data Systems Research (CIDR), Asilomar, pp 317–328
Chu D, Deshpande A, Hellerstein JM, Hong W (2006) Approximate data collection in sensor networks using probabilistic models. In Proceedings of the 22nd international conference on data engineering (ICDE), Atlanta, pp 48–59
Cheng R, Prabhakar S (2003) Managing uncertainty in sensor database. SIGMOD Record 32(4):41–46
Diao Y, Li B, Liu A, Peng L, Sutton C, Tran T, Zink M (2009) Capturing data uncertainty in high-volume stream processing. In Proceedings of the 4th biennial conference on innovative data systems research (CIDR), Asilomar
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Haider, R., Mandreoli, F., Martoglia, R., Sassatelli, S., Tiberio, P. (2010). Toward a Flexible Data Management Middleware for Wireless Sensor Networks. In: D'Atri, A., De Marco, M., Braccini, A., Cabiddu, F. (eds) Management of the Interconnected World. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2404-9_19
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DOI: https://doi.org/10.1007/978-3-7908-2404-9_19
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