Abstract
Context recognition, such as gesture or activity recognition, is a key mechanism that enables ubiquitous computing systems to proactively support users. It becomes challenging in unconstrained environments such as those encountered in daily living, where it has to deal with heterogeneous networks, changing sensor availability, communication capabilities, and available processing power.
This paper describes Titan, a new framework that is specifically designed to perform context recognition in such dynamic sensor networks. Context recognition algorithms are represented by interconnected data processing tasks forming a task network. Titan adapts to different context recognition algorithms by dynamically reconfiguring individual sensor nodes to update the network wide algorithm execution.
We demonstrate the applicability of Titan for activity recognition on Tmote Sky sensor nodes and show that Titan is able to perform processing of sensor data sampled at 100 Hz and can reconfigure a sensor node in less than 1ms. This results in a better tradeoff between computational speed and dynamic reconfiguration time.
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
Mann, S.: Wearable Computing as Means for Personal Empowerment. In: Proceedings of the 3rd International Conference on wearable Computing (ICWC). (1998) 51–59
Starner, T.: The Challenges of Wearable Computing: Part 1 and 2. IEEE Micro 21(4) (2001) 44–67
Stäger, M., Lukowicz, P., Tröster, G.: Implementation and Evaluation of a Low-Power Sound-Based User Activity Recognition System. In: Proceedings of the 8th IEEE International Symposium on Wearable Computers (ISWC). (2004) 138–141
Huynh, T., Schiele, B.: Analyzing features for activity recognition. Proceedings of the 2005 joint conference on Smart objects and ambient intelligence: innovative context-aware services: usages and technologies (2005) 159–163
Bharatula, N.B., Stäger, M., Lukowicz, P., Tröster, G.: Empirical Study of Design Choices in Multi-Sensor Context Recognition Systems. In: Proceedings of the 2nd International Forum on Applied Wearable Computing (IFAWC). (2005) 79–93
Moteiv Corporation: Tmote Sky: http://www.moteiv.com (2005)
Anliker, U., Beutel, J., Dyer, M., Enzler, R., Lukowicz, P., Thiele, L.: A Systematic Approach to the Design of Distributed Wearable Systems. IEEE Transactions on Computers 53(8) (2004)
Bannach, D., Kunze, K., Lukowicz, P., Amft, O.: Distributed Modular Toolbox for Multi-modal Context Recognition. In: Proceedings of the 19th International Conference on Architecture of Computing Systems (ARCS). (2006) 99–113
Kumar, R., Wolenetz, M., Agarwalla, B., Shin, J., Hutto, P., Paul, A., Ramachandran, U.: DFuse: A Framework for Distributed Data Fusion. In: Proceedings of the 1st International Conference on Embedded Networked Sensor Systems (SenSys), New York, NY, USA, ACM Press (2003) 114–125
Bakshi, A., Prasanna, V.K.: Programming Paradigms for Networked Sensing: A Distributed Systems’ Perspective. In: 7th International Workshop on Distributed Computing (IWDC). (2005)
Bakshi, A., Pathak, A., Prasanna, V.K.: System-level Support for Macroprogramming of Networked Sensing Applications. In: Proceedings of the International Conference on Pervasive Systems and Computing (PSC). (2005)
Hui, J.W., Culler, D.: The dynamic behavior of a data dissemination protocol for network programming at scale. In: Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, ACM Press (2004) 81–94
Marron, P.J., Lachenmann, A., Minder, D., Hahner, J., Sauter, R., Rothermel, K.: TinyCubus: A Flexible and Adaptive Framework Sensor Networks. Proceeedings of the Second European Workshop on Wireless Sensor Networks (2005) 278–289
Han, C., Kumar, R., Shea, R., Kohler, E., Srivastava, M.: A Dynamic Operating System for Sensor Nodes. In: 3rd International Conference on Mobile Systems, Applications, and Services. (2005) 163–176
Dulman, S., Havinga, P.: Architectures for Wireless Sensor Networks. In: Proceedings of the International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). (2005) 31–38
Levis, P., Culler, D.: Maté: A Tiny Virtual Machine for Sensor Networks. ACM SIGOPS Operating Systems Review 36(5) (2002) 85–95
Levis, P., Gay, D., Culler, D.: Active Sensor Networks. In: Proceedings of the 2nd USENIX/ACM Symposium on Network Systems Design and Implementation (NSDI). (2005)
Hill, J., Szewczyk, R., Woo, A., Hollar, S., Culler, D., Pister, K.: System architecture directions for network sensors. In: Architectural Support for Programming Languages and Operating Systems. (2000)
Elson, J., Girod, L., Estrin, D.: Fine-grained network time synchronization using reference broadcasts. In: Proceedings of Fifth Symposium on Operating Systems Design and Implementation (OSDI). (2002) 147–163
Ganeriwal, S., Kumar, R., Srivastava, M.B.: Timing-sync Protocol for Sensor Networks. In: Proceedings of the 1st International Conference on Embedded Networked Sensor Systems. (2003) 138–149
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lombriser, C., Roggen, D., Stäger, M., Tröster, G. (2007). Titan: A Tiny Task Network for Dynamically Reconfigurable Heterogeneous Sensor Networks. In: Braun, T., Carle, G., Stiller, B. (eds) Kommunikation in Verteilten Systemen (KiVS). Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69962-0_11
Download citation
DOI: https://doi.org/10.1007/978-3-540-69962-0_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69961-3
Online ISBN: 978-3-540-69962-0
eBook Packages: Computer Science and Engineering (German Language)