An adaptive sensor network system for complex environments

This paper describes the design and implementation of a sensor network system that can adapt to node failures and changes in node positions. The objective of this system is to support human actions in typical living and working environments such as buildings, offices, and homes. The adaptive sensor network system we designed and implemented can estimate the spatial position of each node, can detect a connection or disconnection between a node and the network, and can translate a position-based address into the appropriate set of sensor nodes. The evaluation results show the possibility of the system adapting to dynamic network changes.

[1]  D. Loy,et al.  Thoughts about redundancy in fieldbus systems anchored in OSI Layer-4 and applied to the Lontalk Protocol on neuron based network nodes , 1995, Proceedings 1995 IEEE International Workshop on Factory Communication Systems. WFCS'95.

[2]  M. Weiser.  The Computer for the Twenty-First Century , 1991 .

[3]  S. Sitharama Iyengar,et al.  A new architecture for distributed sensor integration , 1993, Proceedings of Southeastcon '93.

[4]  Hiroo Kanamaru,et al.  The diffusion model based task remapping for distributed real-time systems , 1991, [1991] Proceedings Twelfth Real-Time Systems Symposium.

[5]  Lui Sha,et al.  Evolving dependable real-time systems , 1996, 1996 IEEE Aerospace Applications Conference. Proceedings.

[6]  Halit Eren,et al.  Accuracy in position estimation of mobile robots based on coded infrared signal transmission , 1995, Proceedings of 1995 IEEE Instrumentation and Measurement Technology Conference - IMTC '95.

[7]  N. Koshizuka.  The current status and future of the BTRON and Human-Machine Interface Subprojects , 1996, Proceedings 13th TRON Project International Symposium /TEPS '96.

[8]  Mark Weiser,et al.  Some computer science issues in ubiquitous computing , 1993, CACM.