Development of an intelligent wireless sensor network with mobile nodes

Joseph St. Pierre; Howard E. Michel

doi:10.1117/12.818874

19 May 2009 Development of an intelligent wireless sensor network with mobile nodes

Joseph St. Pierre, Howard E. Michel

Proceedings Volume 7352, Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing; 73520K (2009) https://doi.org/10.1117/12.818874
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

Wireless sensor networks have become viable solutions to many commercial and military applications. This research focuses on utilizing the I-TRM to develop an architecture which supports adaptive, self-healing, and self-aware intelligent wireless sensor networks capable of supporting mobile nodes. Sensor subsystems are crucial in the development of projects to test complex systems such as the Future Combat System, a multi-layered system consisting of soldiers and 18 subsystems connected by a network. The proposed architecture utilizes the Sensor Web Enablement (SWE), a standard for sensor networks being developed by the Open Geospatial Consortium (OGC), and the Integrated Technical Reference Model (I-TRM), a multi-layered technical reference model consisting of a behavior-centric technical reference model, information-centric technical reference model, and control technical reference model. The designed architecture has been implemented on MPR2400CA motes using the nesC programming language. Preliminary results show the architecture meets needs of systems such as the Future Combat System. The architecture supports standard and tailored sensors, mobile and immobile sensors nodes, and is scalable. Also, functionality was implemented which produces adaptive, self-healing, and self-aware behavior in the wireless sensor network.

Citation Download Citation

Joseph St. Pierre and Howard E. Michel "Development of an intelligent wireless sensor network with mobile nodes", Proc. SPIE 7352, Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing, 73520K (19 May 2009); https://doi.org/10.1117/12.818874

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