Abstract
In sensor networks, each sensor has very limited capability in battery life and processing power. This problem can be solved by employing a middleware system which can reduce the load of each sensor to expend the each sensor’s battery life and provide the proper control of the sensed data. In this paper, we propose a middleware model using multi-agent for small-area sensor networks. This model is focused on three functions such as data aggregation, network topology management, and sensor’s state control. With this model, the sensors need not to care of the data routing and the applications need not to care how the sensors are connected each other and how the necessary sensing data can be obtained. With this model, more flexible sensor based system can be constructed easily.
This research is supported by the ubiquitous Autonomic Computing and Network Project, the Ministry of Information and Communication (MIC) 21st Century Frontier R&D Program in Korea.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dey, A.K.: Providing Architectureal Support for Building Context Aware Applications, PhD thesis, GATECH (November 2000)
Schilit, B.N.: A System Architecture for Context Aware Mobile Computing, PhD thesis, Columbia university, New York (1995)
Jang, S., Woo, W.: ubi-UCAM: A Unified Context-Aware Application Model. In: Blackburn, P., Ghidini, C., Turner, R.M., Giunchiglia, F. (eds.) CONTEXT 2003. LNCS (LNAI), vol. 2680, pp. 178–189. Springer, Heidelberg (2003)
Lee, K., Kim, M.: Conflict Management in Intelligent Home. In: Proceeding JSCI 2005 (2005)
Heinzelman, W., Sinha, A., Wang, A., Chandrakasan, A.: Energy-Scalable Algorithms and Protocols for Wireless Microsensor Networks. In: Proc. Int’l Conf. Acoustics, Speech, and SignalProcessing (ICASSP) (June 2000)
Bambos, N.: Toward Power-Sensitive Network Architectures in Wireless Communications: Concepts, Issues, and Design As-pects. In: IEEE Personal Comm., pp. 50–59 (June 1998)
Han, Q., Mehrotra, S., Venkatasubramanian, N.: Energy efficient data collection in distributed sensor environments. Technical report, University of California-Irvine (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lee, K., Kim, M. (2009). Sensor Management Model Using Multi-agent in Small-Area Sensor Networks. In: Lukose, D., Shi, Z. (eds) Multi-Agent Systems for Society. PRIMA 2005. Lecture Notes in Computer Science(), vol 4078. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03339-1_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-03339-1_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03337-7
Online ISBN: 978-3-642-03339-1
eBook Packages: Computer ScienceComputer Science (R0)